Compare commits
16 Commits
Author | SHA1 | Date | |
---|---|---|---|
7a91a3ba60 | |||
997f7cbf13 | |||
9c1ddc77a7 | |||
000b952c2d | |||
81506268ba | |||
c99e290a7f | |||
728e1785f0 | |||
d6dad64fbf | |||
a54d8c9dec | |||
0ab5025316 | |||
3f5c1b7ee0 | |||
12030358ee | |||
dcf9511dbb | |||
3dfbe64911 | |||
7e01486b61 | |||
659757329d |
@ -1,38 +0,0 @@
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||||
ARG UBUNTU_VERSION=22.04
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# This needs to generally match the container host's environment.
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ARG CUDA_VERSION=12.3.1
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# Target the CUDA build image
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ARG BASE_CUDA_DEV_CONTAINER=nvidia/cuda:${CUDA_VERSION}-devel-ubuntu${UBUNTU_VERSION}
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# Target the CUDA runtime image
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ARG BASE_CUDA_RUN_CONTAINER=nvidia/cuda:${CUDA_VERSION}-runtime-ubuntu${UBUNTU_VERSION}
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FROM ${BASE_CUDA_DEV_CONTAINER} AS build
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WORKDIR /app
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# Unless otherwise specified, we make a fat build.
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ARG CUDA_DOCKER_ARCH=all
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# Set nvcc architecture
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ENV CUDA_DOCKER_ARCH=${CUDA_DOCKER_ARCH}
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# Enable cuBLAS
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ENV WHISPER_CUBLAS=1
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RUN apt-get update && \
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apt-get install -y build-essential \
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&& rm -rf /var/lib/apt/lists/* /var/cache/apt/archives/*
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# Ref: https://stackoverflow.com/a/53464012
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ENV CUDA_MAIN_VERSION=12.3
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ENV LD_LIBRARY_PATH /usr/local/cuda-${CUDA_MAIN_VERSION}/compat:$LD_LIBRARY_PATH
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COPY .. .
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RUN make
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FROM ${BASE_CUDA_RUN_CONTAINER} AS runtime
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WORKDIR /app
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RUN apt-get update && \
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apt-get install -y curl ffmpeg \
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&& rm -rf /var/lib/apt/lists/* /var/cache/apt/archives/*
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COPY --from=build /app /app
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ENTRYPOINT [ "bash", "-c" ]
|
@ -1,19 +0,0 @@
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FROM ubuntu:22.04 AS build
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WORKDIR /app
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RUN apt-get update && \
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apt-get install -y build-essential \
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&& rm -rf /var/lib/apt/lists/* /var/cache/apt/archives/*
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COPY .. .
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RUN make
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FROM ubuntu:22.04 AS runtime
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WORKDIR /app
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RUN apt-get update && \
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apt-get install -y curl ffmpeg \
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&& rm -rf /var/lib/apt/lists/* /var/cache/apt/archives/*
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COPY --from=build /app /app
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ENTRYPOINT [ "bash", "-c" ]
|
85
.github/workflows/build.yml
vendored
@ -25,7 +25,6 @@ jobs:
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docker run --platform ${{ matrix.arch }} --rm \
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-v ${{ github.workspace }}:/workspace \
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-w /workspace ${{ env.ubuntu_image }} /bin/sh -c '
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set -e
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apt update
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apt install -y build-essential libsdl2-dev
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make
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@ -87,7 +86,6 @@ jobs:
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docker run --platform ${{ matrix.arch }} --rm \
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-v ${{ github.workspace }}:/workspace \
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-w /workspace ${{ env.ubuntu_image }} /bin/sh -c '
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set -e
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apt update
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apt install -y build-essential cmake libsdl2-dev
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cmake . -DWHISPER_SDL2=ON -DCMAKE_BUILD_TYPE=${{ matrix.build }}
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@ -115,9 +113,8 @@ jobs:
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docker run --platform ${{ matrix.arch }} --rm \
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-v ${{ github.workspace }}:/workspace \
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-w /workspace ${{ env.ubuntu_image }} /bin/sh -c '
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set -e
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apt update
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apt install -y clang build-essential cmake libsdl2-dev
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apt install -y build-essential cmake libsdl2-dev
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cmake . -DWHISPER_SDL2=ON -DCMAKE_BUILD_TYPE=${{ matrix.build }} -DCMAKE_CXX_COMPILER=clang++ -DCMAKE_C_COMPILER=clang
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make
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ctest -L gh --output-on-failure'
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@ -143,7 +140,6 @@ jobs:
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docker run --platform ${{ matrix.arch }} --rm \
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-v ${{ github.workspace }}:/workspace \
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-w /workspace ${{ env.ubuntu_image }} /bin/sh -c '
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set -e
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apt update
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apt install -y build-essential cmake
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cmake . -DCMAKE_BUILD_TYPE=Debug -DWHISPER_SANITIZE_${{ matrix.sanitizer }}=ON
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@ -166,7 +162,7 @@ jobs:
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s2arc: x64
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jnaPath: win32-x86-64
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- sdl2: ON
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s2ver: 2.28.5
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s2ver: 2.26.0
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steps:
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- name: Clone
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@ -221,16 +217,13 @@ jobs:
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sdl2: [ON]
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include:
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- arch: Win32
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obzip: https://github.com/OpenMathLib/OpenBLAS/releases/download/v0.3.25/OpenBLAS-0.3.25-x86.zip
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obzip: https://github.com/OpenMathLib/OpenBLAS/releases/download/v0.3.24/OpenBLAS-0.3.24-x86.zip
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s2arc: x86
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clblast: OFF
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- arch: x64
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obzip: https://github.com/OpenMathLib/OpenBLAS/releases/download/v0.3.25/OpenBLAS-0.3.25-x64.zip
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obzip: https://github.com/OpenMathLib/OpenBLAS/releases/download/v0.3.24/OpenBLAS-0.3.24-x64.zip
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s2arc: x64
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clblast: ON
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clver: 1.6.1
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- sdl2: ON
|
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s2ver: 2.28.5
|
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s2ver: 2.26.0
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steps:
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- name: Clone
|
||||
@ -255,18 +248,6 @@ jobs:
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7z x sdl2.zip
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echo "SDL2_DIR=$env:GITHUB_WORKSPACE/SDL2-${{ matrix.s2ver }}/cmake" >> $env:GITHUB_ENV
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|
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- name: Install OpenCL
|
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if: matrix.clblast == 'ON'
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run: vcpkg.exe --triplet=${{ matrix.arch }}-windows install opencl
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|
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- name: Fetch CLBlast and set CLBlast_DIR
|
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if: matrix.clblast == 'ON'
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run: |
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C:/msys64/usr/bin/wget.exe -qO clblast.zip https://github.com/CNugteren/CLBlast/releases/download/${{ matrix.clver }}/CLBlast-${{ matrix.clver }}-windows-x64.zip
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7z x clblast.zip
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7z x CLBlast-${{ matrix.clver }}-windows-x64.7z
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echo "CLBlast_DIR=$env:GITHUB_WORKSPACE/CLBlast-${{ matrix.clver }}-windows-x64/lib/cmake/CLBlast" >> $env:GITHUB_ENV
|
||||
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||||
- name: Configure
|
||||
run: >
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||||
cmake -S . -B ./build -A ${{ matrix.arch }}
|
||||
@ -274,7 +255,6 @@ jobs:
|
||||
-DWHISPER_OPENBLAS=${{ matrix.blas }}
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||||
-DCMAKE_LIBRARY_PATH="$env:OPENBLAS_PATH/lib"
|
||||
-DWHISPER_SDL2=${{ matrix.sdl2 }}
|
||||
-DWHISPER_CLBLAST=${{ matrix.clblast }}
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||||
|
||||
- name: Build
|
||||
run: |
|
||||
@ -289,15 +269,11 @@ jobs:
|
||||
if: matrix.sdl2 == 'ON'
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||||
run: copy "$env:SDL2_DIR/../lib/${{ matrix.s2arc }}/SDL2.dll" build/bin/${{ matrix.build }}
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|
||||
- name: Copy clblast.dll
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||||
if: matrix.clblast == 'ON'
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run: copy "$env:CLBlast_DIR/../../clblast.dll" build/bin/${{ matrix.build }}
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||||
|
||||
- name: Upload binaries
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||||
if: matrix.blas == 'ON' && matrix.sdl2 == 'ON'
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uses: actions/upload-artifact@v1
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||||
with:
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||||
name: whisper-blas${{ matrix.clblast == 'ON' && '-clblast' || ''}}-bin-${{ matrix.arch }}
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||||
name: whisper-blas-bin-${{ matrix.arch }}
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||||
path: build/bin/${{ matrix.build }}
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||||
|
||||
windows-cublas:
|
||||
@ -309,12 +285,11 @@ jobs:
|
||||
arch: [x64]
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||||
cublas: [ON]
|
||||
sdl2: [ON]
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||||
cuda-toolkit: [12.2.0, 11.8.0]
|
||||
include:
|
||||
- arch: x64
|
||||
s2arc: x64
|
||||
- sdl2: ON
|
||||
s2ver: 2.28.5
|
||||
s2ver: 2.26.0
|
||||
|
||||
steps:
|
||||
- name: Clone
|
||||
@ -325,9 +300,7 @@ jobs:
|
||||
|
||||
- name: Install CUDA Toolkit
|
||||
id: cuda-toolkit
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||||
uses: Jimver/cuda-toolkit@v0.2.11
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||||
with:
|
||||
cuda: '${{ matrix.cuda-toolkit }}'
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||||
uses: Jimver/cuda-toolkit@v0.2.10
|
||||
|
||||
- name: Fetch SDL2 and set SDL2_DIR
|
||||
if: matrix.sdl2 == 'ON'
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||||
@ -340,20 +313,12 @@ jobs:
|
||||
run: >
|
||||
cmake -S . -B ./build -A ${{ matrix.arch }}
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||||
-DCMAKE_BUILD_TYPE=${{ matrix.build }}
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||||
-DWHISPER_CUBLAS=${{ matrix.cublas }}
|
||||
-DWHISPER_SDL2=${{ matrix.sdl2 }}
|
||||
-DWHISPER_CUBLAS=1
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||||
|
||||
- name: Build ${{ matrix.cuda-toolkit }}
|
||||
- name: Build
|
||||
run: |
|
||||
cd ./build
|
||||
cmake --build . --config ${{ matrix.build }}
|
||||
|
||||
- name: Copy CUDA DLLs
|
||||
run: >
|
||||
Copy-Item -PassThru
|
||||
-Path "${{ steps.cuda-toolkit.outputs.CUDA_PATH }}/bin/*.dll"
|
||||
-Include cudart64_*,cublas64_*,cublasLt64_*
|
||||
-Destination build/bin/${{ matrix.build }}
|
||||
msbuild ALL_BUILD.vcxproj -t:build -p:configuration=${{ matrix.build }} -p:platform=${{ matrix.arch }}
|
||||
|
||||
- name: Copy SDL2.dll
|
||||
if: matrix.sdl2 == 'ON'
|
||||
@ -363,7 +328,7 @@ jobs:
|
||||
if: matrix.sdl2 == 'ON'
|
||||
uses: actions/upload-artifact@v1
|
||||
with:
|
||||
name: whisper-cublas-${{ matrix.cuda-toolkit }}-bin-${{ matrix.arch }}
|
||||
name: whisper-cublas-bin-${{ matrix.arch }}
|
||||
path: build/bin/${{ matrix.build }}
|
||||
|
||||
emscripten:
|
||||
@ -431,32 +396,6 @@ jobs:
|
||||
cd examples/whisper.android
|
||||
./gradlew assembleRelease --no-daemon
|
||||
|
||||
android_java:
|
||||
runs-on: ubuntu-latest
|
||||
|
||||
steps:
|
||||
- name: Clone
|
||||
uses: actions/checkout@v3
|
||||
|
||||
- name: set up JDK 11
|
||||
uses: actions/setup-java@v3
|
||||
with:
|
||||
java-version: '11'
|
||||
distribution: 'temurin'
|
||||
cache: gradle
|
||||
|
||||
- name: Setup Android SDK
|
||||
uses: android-actions/setup-android@v2
|
||||
with:
|
||||
api-level: 30
|
||||
build-tools-version: 30.0.3
|
||||
|
||||
- name: Build
|
||||
run: |
|
||||
cd examples/whisper.android.java
|
||||
chmod +x ./gradlew
|
||||
./gradlew assembleRelease
|
||||
|
||||
java:
|
||||
needs: [ 'windows' ]
|
||||
runs-on: windows-latest
|
||||
|
57
.github/workflows/docker.yml
vendored
@ -1,57 +0,0 @@
|
||||
name: Publish Docker image
|
||||
|
||||
on:
|
||||
pull_request:
|
||||
push:
|
||||
branches:
|
||||
- master
|
||||
|
||||
jobs:
|
||||
push_to_registry:
|
||||
name: Push Docker image to Docker Hub
|
||||
if: github.event.pull_request.draft == false
|
||||
|
||||
runs-on: ubuntu-latest
|
||||
env:
|
||||
COMMIT_SHA: ${{ github.sha }}
|
||||
strategy:
|
||||
matrix:
|
||||
config:
|
||||
- { tag: "main", dockerfile: ".devops/main.Dockerfile", platform: "linux/amd64,linux/arm64" }
|
||||
- { tag: "main-cuda", dockerfile: ".devops/main-cuda.Dockerfile", platform: "linux/amd64" }
|
||||
|
||||
steps:
|
||||
- name: Check out the repo
|
||||
uses: actions/checkout@v3
|
||||
|
||||
- name: Set up QEMU
|
||||
uses: docker/setup-qemu-action@v3
|
||||
|
||||
- name: Set up Docker Buildx
|
||||
uses: docker/setup-buildx-action@v3
|
||||
|
||||
- name: Log in to Docker Hub
|
||||
uses: docker/login-action@v3
|
||||
with:
|
||||
registry: ghcr.io
|
||||
username: ${{ github.repository_owner }}
|
||||
password: ${{ secrets.GITHUB_TOKEN }}
|
||||
|
||||
- name: Build and push Docker image (versioned)
|
||||
if: github.event_name == 'push'
|
||||
uses: docker/build-push-action@v5
|
||||
with:
|
||||
context: .
|
||||
push: true
|
||||
platforms: ${{ matrix.config.platforms }}
|
||||
tags: "ghcr.io/${{ github.repository }}:${{ matrix.config.tag }}-${{ env.COMMIT_SHA }}"
|
||||
file: ${{ matrix.config.dockerfile }}
|
||||
|
||||
- name: Build and push Docker image (tagged)
|
||||
uses: docker/build-push-action@v4
|
||||
with:
|
||||
context: .
|
||||
push: ${{ github.event_name == 'push' }}
|
||||
platforms: ${{ matrix.config.platforms }}
|
||||
tags: "ghcr.io/${{ github.repository }}:${{ matrix.config.tag }}"
|
||||
file: ${{ matrix.config.dockerfile }}
|
6
.gitignore
vendored
@ -8,7 +8,6 @@
|
||||
.DS_Store
|
||||
|
||||
build/
|
||||
build-coreml/
|
||||
build-em/
|
||||
build-debug/
|
||||
build-release/
|
||||
@ -31,7 +30,6 @@ build-sanitize-thread/
|
||||
/talk-llama
|
||||
/bench
|
||||
/quantize
|
||||
/server
|
||||
/lsp
|
||||
|
||||
arm_neon.h
|
||||
@ -55,7 +53,3 @@ bindings/java/.idea/
|
||||
.idea/
|
||||
|
||||
benchmark_results.csv
|
||||
cmake-build-debug/
|
||||
.cxx/
|
||||
.gradle/
|
||||
local.properties
|
@ -1,6 +1,6 @@
|
||||
cmake_minimum_required (VERSION 3.5)
|
||||
|
||||
project(whisper.cpp VERSION 1.5.3)
|
||||
project(whisper.cpp VERSION 1.4.3)
|
||||
|
||||
# Add path to modules
|
||||
list(APPEND CMAKE_MODULE_PATH "${CMAKE_CURRENT_SOURCE_DIR}/cmake/")
|
||||
@ -218,17 +218,11 @@ if (WHISPER_CUBLAS)
|
||||
add_compile_definitions(GGML_USE_CUBLAS)
|
||||
|
||||
if (WHISPER_STATIC)
|
||||
if (WIN32)
|
||||
# As of 12.3.1 CUDA Tookit for Windows does not offer a static cublas library
|
||||
set(WHISPER_EXTRA_LIBS ${WHISPER_EXTRA_LIBS} CUDA::cudart_static CUDA::cublas CUDA::cublasLt)
|
||||
else ()
|
||||
set(WHISPER_EXTRA_LIBS ${WHISPER_EXTRA_LIBS} CUDA::cudart_static CUDA::cublas_static CUDA::cublasLt_static)
|
||||
endif()
|
||||
set(WHISPER_EXTRA_LIBS ${WHISPER_EXTRA_LIBS} CUDA::cudart_static CUDA::cublas_static CUDA::cublasLt_static)
|
||||
else()
|
||||
set(WHISPER_EXTRA_LIBS ${WHISPER_EXTRA_LIBS} CUDA::cudart CUDA::cublas CUDA::cublasLt)
|
||||
endif()
|
||||
|
||||
set(WHISPER_EXTRA_LIBS ${WHISPER_EXTRA_LIBS} CUDA::cuda_driver)
|
||||
else()
|
||||
message(FATAL_ERROR "cuBLAS not found")
|
||||
endif()
|
||||
@ -344,8 +338,8 @@ else()
|
||||
endif()
|
||||
else()
|
||||
if (EMSCRIPTEN)
|
||||
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -pthread -s TOTAL_STACK=5242880")
|
||||
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -pthread -s TOTAL_STACK=5242880")
|
||||
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -pthread")
|
||||
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -pthread")
|
||||
else()
|
||||
if(NOT WHISPER_NO_AVX)
|
||||
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -mavx")
|
||||
@ -527,13 +521,7 @@ endif()
|
||||
|
||||
if (GGML_SOURCES_CUDA)
|
||||
message(STATUS "GGML CUDA sources found, configuring CUDA architecture")
|
||||
# Only configure gmml CUDA architectures is not globally set
|
||||
if (NOT DEFINED GGML_CUDA_ARCHITECTURES)
|
||||
# Not overriden by user, so set defaults
|
||||
set(GGML_CUDA_ARCHITECTURES 52 61 70)
|
||||
endif()
|
||||
message(STATUS "GGML Configuring CUDA architectures ${GGML_CUDA_ARCHITECTURES}")
|
||||
set_property(TARGET whisper PROPERTY CUDA_ARCHITECTURES ${GGML_CUDA_ARCHITECTURES})
|
||||
set_property(TARGET whisper PROPERTY CUDA_ARCHITECTURES OFF)
|
||||
set_property(TARGET whisper PROPERTY CUDA_SELECT_NVCC_ARCH_FLAGS "Auto")
|
||||
endif()
|
||||
|
||||
@ -545,7 +533,7 @@ target_compile_definitions(${TARGET} PUBLIC
|
||||
${WHISPER_EXTRA_FLAGS}
|
||||
)
|
||||
|
||||
set_target_properties(${TARGET} PROPERTIES PUBLIC_HEADER "ggml.h;whisper.h")
|
||||
set_target_properties(${TARGET} PROPERTIES PUBLIC_HEADER "whisper.h")
|
||||
|
||||
include(GNUInstallDirs)
|
||||
|
||||
|
17
Makefile
@ -1,4 +1,4 @@
|
||||
default: main bench quantize server
|
||||
default: main bench quantize
|
||||
|
||||
ifndef UNAME_S
|
||||
UNAME_S := $(shell uname -s)
|
||||
@ -206,7 +206,7 @@ ifdef WHISPER_CUBLAS
|
||||
|
||||
CFLAGS += -DGGML_USE_CUBLAS -I/usr/local/cuda/include -I/opt/cuda/include -I$(CUDA_PATH)/targets/$(UNAME_M)-linux/include
|
||||
CXXFLAGS += -DGGML_USE_CUBLAS -I/usr/local/cuda/include -I/opt/cuda/include -I$(CUDA_PATH)/targets/$(UNAME_M)-linux/include
|
||||
LDFLAGS += -lcuda -lcublas -lculibos -lcudart -lcublasLt -lpthread -ldl -lrt -L/usr/local/cuda/lib64 -L/opt/cuda/lib64 -L$(CUDA_PATH)/targets/$(UNAME_M)-linux/lib
|
||||
LDFLAGS += -lcublas -lculibos -lcudart -lcublasLt -lpthread -ldl -lrt -L/usr/local/cuda/lib64 -L/opt/cuda/lib64 -L$(CUDA_PATH)/targets/$(UNAME_M)-linux/lib
|
||||
WHISPER_OBJ += ggml-cuda.o
|
||||
NVCC = nvcc
|
||||
NVCCFLAGS = --forward-unknown-to-host-compiler -arch=$(CUDA_ARCH_FLAG)
|
||||
@ -338,7 +338,7 @@ libwhisper.so: $(WHISPER_OBJ)
|
||||
$(CXX) $(CXXFLAGS) -shared -o libwhisper.so $(WHISPER_OBJ) $(LDFLAGS)
|
||||
|
||||
clean:
|
||||
rm -f *.o main stream command talk talk-llama bench quantize server lsp libwhisper.a libwhisper.so
|
||||
rm -f *.o main stream command talk talk-llama bench quantize lsp libwhisper.a libwhisper.so
|
||||
|
||||
#
|
||||
# Examples
|
||||
@ -359,14 +359,11 @@ bench: examples/bench/bench.cpp $(WHISPER_OBJ)
|
||||
quantize: examples/quantize/quantize.cpp $(WHISPER_OBJ) $(SRC_COMMON)
|
||||
$(CXX) $(CXXFLAGS) examples/quantize/quantize.cpp $(SRC_COMMON) $(WHISPER_OBJ) -o quantize $(LDFLAGS)
|
||||
|
||||
server: examples/server/server.cpp $(SRC_COMMON) $(WHISPER_OBJ)
|
||||
$(CXX) $(CXXFLAGS) examples/server/server.cpp $(SRC_COMMON) $(WHISPER_OBJ) -o server $(LDFLAGS)
|
||||
|
||||
stream: examples/stream/stream.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ)
|
||||
$(CXX) $(CXXFLAGS) examples/stream/stream.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ) -o stream $(CC_SDL) $(LDFLAGS)
|
||||
|
||||
command: examples/command/command.cpp examples/grammar-parser.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ)
|
||||
$(CXX) $(CXXFLAGS) examples/command/command.cpp examples/grammar-parser.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ) -o command $(CC_SDL) $(LDFLAGS)
|
||||
command: examples/command/command.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ)
|
||||
$(CXX) $(CXXFLAGS) examples/command/command.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ) -o command $(CC_SDL) $(LDFLAGS)
|
||||
|
||||
lsp: examples/lsp/lsp.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ)
|
||||
$(CXX) $(CXXFLAGS) examples/lsp/lsp.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ) -o lsp $(CC_SDL) $(LDFLAGS)
|
||||
@ -421,9 +418,9 @@ samples:
|
||||
.PHONY: medium
|
||||
.PHONY: large-v1
|
||||
.PHONY: large-v2
|
||||
.PHONY: large-v3
|
||||
.PHONY: large
|
||||
|
||||
tiny.en tiny base.en base small.en small medium.en medium large-v1 large-v2 large-v3: main
|
||||
tiny.en tiny base.en base small.en small medium.en medium large-v1 large-v2 large: main
|
||||
bash ./models/download-ggml-model.sh $@
|
||||
@echo ""
|
||||
@echo "==============================================="
|
||||
|
@ -2,26 +2,41 @@
|
||||
|
||||
import PackageDescription
|
||||
|
||||
#if arch(arm) || arch(arm64)
|
||||
let platforms: [SupportedPlatform]? = [
|
||||
.macOS(.v12),
|
||||
.iOS(.v14),
|
||||
.watchOS(.v4),
|
||||
.tvOS(.v14)
|
||||
]
|
||||
let exclude: [String] = []
|
||||
let resources: [Resource] = [
|
||||
.process("ggml-metal.metal")
|
||||
]
|
||||
let additionalSources: [String] = ["ggml-metal.m"]
|
||||
let additionalSettings: [CSetting] = [
|
||||
.unsafeFlags(["-fno-objc-arc"]),
|
||||
.define("GGML_USE_METAL")
|
||||
]
|
||||
#else
|
||||
let platforms: [SupportedPlatform]? = nil
|
||||
let exclude: [String] = ["ggml-metal.metal"]
|
||||
let resources: [Resource] = []
|
||||
let additionalSources: [String] = []
|
||||
let additionalSettings: [CSetting] = []
|
||||
#endif
|
||||
|
||||
let package = Package(
|
||||
name: "whisper",
|
||||
platforms: [
|
||||
.macOS(.v12),
|
||||
.iOS(.v14),
|
||||
.watchOS(.v4),
|
||||
.tvOS(.v14)
|
||||
],
|
||||
platforms: platforms,
|
||||
products: [
|
||||
.library(name: "whisper", targets: ["whisper"]),
|
||||
],
|
||||
dependencies: [
|
||||
.package(url: "https://github.com/ggerganov/ggml.git", .branch("master"))
|
||||
],
|
||||
targets: [
|
||||
.target(
|
||||
name: "whisper",
|
||||
dependencies: ["ggml"],
|
||||
path: ".",
|
||||
exclude: [
|
||||
exclude: exclude + [
|
||||
"bindings",
|
||||
"cmake",
|
||||
"coreml",
|
||||
@ -36,20 +51,23 @@ let package = Package(
|
||||
"Makefile"
|
||||
],
|
||||
sources: [
|
||||
"ggml.c",
|
||||
"whisper.cpp",
|
||||
],
|
||||
"ggml-alloc.c",
|
||||
"ggml-backend.c",
|
||||
"ggml-quants.c"
|
||||
] + additionalSources,
|
||||
resources: resources,
|
||||
publicHeadersPath: "spm-headers",
|
||||
cSettings: [
|
||||
.unsafeFlags(["-Wno-shorten-64-to-32", "-O3", "-DNDEBUG"]),
|
||||
.define("GGML_USE_ACCELERATE"),
|
||||
.unsafeFlags(["-fno-objc-arc"]),
|
||||
.define("GGML_USE_METAL")
|
||||
.define("GGML_USE_ACCELERATE")
|
||||
// NOTE: NEW_LAPACK will required iOS version 16.4+
|
||||
// We should consider add this in the future when we drop support for iOS 14
|
||||
// (ref: ref: https://developer.apple.com/documentation/accelerate/1513264-cblas_sgemm?language=objc)
|
||||
// .define("ACCELERATE_NEW_LAPACK"),
|
||||
// .define("ACCELERATE_LAPACK_ILP64")
|
||||
],
|
||||
] + additionalSettings,
|
||||
linkerSettings: [
|
||||
.linkedFramework("Accelerate")
|
||||
]
|
||||
|
75
README.md
@ -6,7 +6,7 @@
|
||||
[](https://opensource.org/licenses/MIT)
|
||||
[](https://www.npmjs.com/package/whisper.cpp/)
|
||||
|
||||
Stable: [v1.5.3](https://github.com/ggerganov/whisper.cpp/releases/tag/v1.5.3) / [Roadmap | F.A.Q.](https://github.com/ggerganov/whisper.cpp/discussions/126)
|
||||
Beta: [v1.4.3](https://github.com/ggerganov/whisper.cpp/releases/tag/v1.4.3) / Stable: [v1.2.1](https://github.com/ggerganov/whisper.cpp/releases/tag/v1.2.1) / [Roadmap | F.A.Q.](https://github.com/ggerganov/whisper.cpp/discussions/126)
|
||||
|
||||
High-performance inference of [OpenAI's Whisper](https://github.com/openai/whisper) automatic speech recognition (ASR) model:
|
||||
|
||||
@ -16,10 +16,12 @@ High-performance inference of [OpenAI's Whisper](https://github.com/openai/whisp
|
||||
- VSX intrinsics support for POWER architectures
|
||||
- Mixed F16 / F32 precision
|
||||
- [4-bit and 5-bit integer quantization support](https://github.com/ggerganov/whisper.cpp#quantization)
|
||||
- Low memory usage (Flash Attention)
|
||||
- Zero memory allocations at runtime
|
||||
- Support for CPU-only inference
|
||||
- [Efficient GPU support for NVIDIA](https://github.com/ggerganov/whisper.cpp#nvidia-gpu-support-via-cublas)
|
||||
- [Partial GPU support for NVIDIA via cuBLAS](https://github.com/ggerganov/whisper.cpp#nvidia-gpu-support-via-cublas)
|
||||
- [Partial OpenCL GPU support via CLBlast](https://github.com/ggerganov/whisper.cpp#opencl-gpu-support-via-clblast)
|
||||
- [BLAS CPU support via OpenBLAS](https://github.com/ggerganov/whisper.cpp#blas-cpu-support-via-openblas)
|
||||
- [OpenVINO Support](https://github.com/ggerganov/whisper.cpp#openvino-support)
|
||||
- [C-style API](https://github.com/ggerganov/whisper.cpp/blob/master/whisper.h)
|
||||
|
||||
@ -33,10 +35,11 @@ Supported platforms:
|
||||
- [x] [WebAssembly](examples/whisper.wasm)
|
||||
- [x] Windows ([MSVC](https://github.com/ggerganov/whisper.cpp/blob/master/.github/workflows/build.yml#L117-L144) and [MinGW](https://github.com/ggerganov/whisper.cpp/issues/168)]
|
||||
- [x] [Raspberry Pi](https://github.com/ggerganov/whisper.cpp/discussions/166)
|
||||
- [x] [docker](https://github.com/ggerganov/whisper.cpp/pkgs/container/whisper.cpp)
|
||||
|
||||
The entire high-level implementation of the model is contained in [whisper.h](whisper.h) and [whisper.cpp](whisper.cpp).
|
||||
The rest of the code is part of the [ggml](https://github.com/ggerganov/ggml) machine learning library.
|
||||
The entire implementation of the model is contained in 2 source files:
|
||||
|
||||
- Tensor operations: [ggml.h](ggml.h) / [ggml.c](ggml.c)
|
||||
- Transformer inference: [whisper.h](whisper.h) / [whisper.cpp](whisper.cpp)
|
||||
|
||||
Having such a lightweight implementation of the model allows to easily integrate it in different platforms and applications.
|
||||
As an example, here is a video of running the model on an iPhone 13 device - fully offline, on-device: [whisper.objc](examples/whisper.objc)
|
||||
@ -111,8 +114,8 @@ options:
|
||||
-mc N, --max-context N [-1 ] maximum number of text context tokens to store
|
||||
-ml N, --max-len N [0 ] maximum segment length in characters
|
||||
-sow, --split-on-word [false ] split on word rather than on token
|
||||
-bo N, --best-of N [5 ] number of best candidates to keep
|
||||
-bs N, --beam-size N [5 ] beam size for beam search
|
||||
-bo N, --best-of N [2 ] number of best candidates to keep
|
||||
-bs N, --beam-size N [-1 ] beam size for beam search
|
||||
-wt N, --word-thold N [0.01 ] word timestamp probability threshold
|
||||
-et N, --entropy-thold N [2.40 ] entropy threshold for decoder fail
|
||||
-lpt N, --logprob-thold N [-1.00 ] log probability threshold for decoder fail
|
||||
@ -129,7 +132,6 @@ options:
|
||||
-fp, --font-path [/System/Library/Fonts/Supplemental/Courier New Bold.ttf] path to a monospace font for karaoke video
|
||||
-ocsv, --output-csv [false ] output result in a CSV file
|
||||
-oj, --output-json [false ] output result in a JSON file
|
||||
-ojf, --output-json-full [false ] include more information in the JSON file
|
||||
-of FNAME, --output-file FNAME [ ] output file path (without file extension)
|
||||
-ps, --print-special [false ] print special tokens
|
||||
-pc, --print-colors [false ] print colors
|
||||
@ -141,8 +143,7 @@ options:
|
||||
-m FNAME, --model FNAME [models/ggml-base.en.bin] model path
|
||||
-f FNAME, --file FNAME [ ] input WAV file path
|
||||
-oved D, --ov-e-device DNAME [CPU ] the OpenVINO device used for encode inference
|
||||
-ls, --log-score [false ] log best decoder scores of tokens
|
||||
-ng, --no-gpu [false ] disable GPU
|
||||
-ls, --log-score [false ] log best decoder scores of token
|
||||
|
||||
|
||||
bash ./models/download-ggml-model.sh base.en
|
||||
@ -234,18 +235,18 @@ make medium.en
|
||||
make medium
|
||||
make large-v1
|
||||
make large-v2
|
||||
make large-v3
|
||||
make large
|
||||
```
|
||||
|
||||
## Memory usage
|
||||
|
||||
| Model | Disk | Mem |
|
||||
| --- | --- | --- |
|
||||
| tiny | 75 MiB | ~273 MB |
|
||||
| base | 142 MiB | ~388 MB |
|
||||
| small | 466 MiB | ~852 MB |
|
||||
| medium | 1.5 GiB | ~2.1 GB |
|
||||
| large | 2.9 GiB | ~3.9 GB |
|
||||
| Model | Disk | Mem | SHA |
|
||||
| --- | --- | --- | --- |
|
||||
| tiny | 75 MB | ~125 MB | `bd577a113a864445d4c299885e0cb97d4ba92b5f` |
|
||||
| base | 142 MB | ~210 MB | `465707469ff3a37a2b9b8d8f89f2f99de7299dac` |
|
||||
| small | 466 MB | ~600 MB | `55356645c2b361a969dfd0ef2c5a50d530afd8d5` |
|
||||
| medium | 1.5 GB | ~1.7 GB | `fd9727b6e1217c2f614f9b698455c4ffd82463b4` |
|
||||
| large | 2.9 GB | ~3.3 GB | `ad82bf6a9043ceed055076d0fd39f5f186ff8062` |
|
||||
|
||||
## Quantization
|
||||
|
||||
@ -399,12 +400,12 @@ This can result in significant speedup in encoder performance. Here are the inst
|
||||
|
||||
The first time run on an OpenVINO device is slow, since the OpenVINO framework will compile the IR (Intermediate Representation) model to a device-specific 'blob'. This device-specific blob will get
|
||||
cached for the next run.
|
||||
|
||||
|
||||
For more information about the Core ML implementation please refer to PR [#1037](https://github.com/ggerganov/whisper.cpp/pull/1037).
|
||||
|
||||
## NVIDIA GPU support
|
||||
## NVIDIA GPU support via cuBLAS
|
||||
|
||||
With NVIDIA cards the processing of the models is done efficiently on the GPU via cuBLAS and custom CUDA kernels.
|
||||
With NVIDIA cards the Encoder processing can to a large extent be offloaded to the GPU through cuBLAS.
|
||||
First, make sure you have installed `cuda`: https://developer.nvidia.com/cuda-downloads
|
||||
|
||||
Now build `whisper.cpp` with cuBLAS support:
|
||||
@ -449,36 +450,6 @@ make clean
|
||||
WHISPER_OPENBLAS=1 make -j
|
||||
```
|
||||
|
||||
## Docker
|
||||
|
||||
### Prerequisites
|
||||
* Docker must be installed and running on your system.
|
||||
* Create a folder to store big models & intermediate files (ex. /whisper/models)
|
||||
|
||||
### Images
|
||||
We have two Docker images available for this project:
|
||||
|
||||
1. `ghcr.io/ggerganov/whisper.cpp:main`: This image includes the main executable file as well as `curl` and `ffmpeg`. (platforms: `linux/amd64`, `linux/arm64`)
|
||||
2. `ghcr.io/ggerganov/whisper.cpp:main-cuda`: Same as `main` but compiled with CUDA support. (platforms: `linux/amd64`)
|
||||
|
||||
### Usage
|
||||
|
||||
```shell
|
||||
# download model and persist it in a local folder
|
||||
docker run -it --rm \
|
||||
-v path/to/models:/models \
|
||||
whisper.cpp:main "./models/download-ggml-model.sh base /models"
|
||||
# transcribe an audio file
|
||||
docker run -it --rm \
|
||||
-v path/to/models:/models \
|
||||
-v path/to/audios:/audios \
|
||||
whisper.cpp:main "./main -m /models/ggml-base.bin -f /audios/jfk.wav"
|
||||
# transcribe an audio file in samples folder
|
||||
docker run -it --rm \
|
||||
-v path/to/models:/models \
|
||||
whisper.cpp:main "./main -m /models/ggml-base.bin -f ./samples/jfk.wav"
|
||||
```
|
||||
|
||||
## Limitations
|
||||
|
||||
- Inference only
|
||||
@ -801,7 +772,6 @@ Some of the examples are even ported to run in the browser using WebAssembly. Ch
|
||||
| [bench](examples/bench) | [bench.wasm](examples/bench.wasm) | Benchmark the performance of Whisper on your machine |
|
||||
| [stream](examples/stream) | [stream.wasm](examples/stream.wasm) | Real-time transcription of raw microphone capture |
|
||||
| [command](examples/command) | [command.wasm](examples/command.wasm) | Basic voice assistant example for receiving voice commands from the mic |
|
||||
| [wchess](examples/wchess) | [wchess.wasm](examples/wchess) | Voice-controlled chess |
|
||||
| [talk](examples/talk) | [talk.wasm](examples/talk.wasm) | Talk with a GPT-2 bot |
|
||||
| [talk-llama](examples/talk-llama) | | Talk with a LLaMA bot |
|
||||
| [whisper.objc](examples/whisper.objc) | | iOS mobile application using whisper.cpp |
|
||||
@ -811,7 +781,6 @@ Some of the examples are even ported to run in the browser using WebAssembly. Ch
|
||||
| [generate-karaoke.sh](examples/generate-karaoke.sh) | | Helper script to easily [generate a karaoke video](https://youtu.be/uj7hVta4blM) of raw audio capture |
|
||||
| [livestream.sh](examples/livestream.sh) | | [Livestream audio transcription](https://github.com/ggerganov/whisper.cpp/issues/185) |
|
||||
| [yt-wsp.sh](examples/yt-wsp.sh) | | Download + transcribe and/or translate any VOD [(original)](https://gist.github.com/DaniruKun/96f763ec1a037cc92fe1a059b643b818) |
|
||||
| [server](examples/server) | | HTTP transcription server with OAI-like API |
|
||||
|
||||
## [Discussions](https://github.com/ggerganov/whisper.cpp/discussions)
|
||||
|
||||
|
@ -1,26 +1,9 @@
|
||||
ifndef UNAME_S
|
||||
UNAME_S := $(shell uname -s)
|
||||
endif
|
||||
|
||||
ifndef UNAME_P
|
||||
UNAME_P := $(shell uname -p)
|
||||
endif
|
||||
|
||||
ifndef UNAME_M
|
||||
UNAME_M := $(shell uname -m)
|
||||
endif
|
||||
|
||||
GGML_METAL_PATH_RESOURCES := $(abspath ../..)
|
||||
BUILD_DIR := build
|
||||
MODELS_DIR := models
|
||||
EXAMPLES_DIR := $(wildcard examples/*)
|
||||
INCLUDE_PATH := $(abspath ../..)
|
||||
LIBRARY_PATH := $(abspath ../..)
|
||||
|
||||
ifeq ($(UNAME_S),Darwin)
|
||||
EXT_LDFLAGS := -framework Foundation -framework Metal -framework MetalKit
|
||||
endif
|
||||
|
||||
all: clean whisper examples
|
||||
|
||||
whisper: mkdir
|
||||
@ -28,13 +11,8 @@ whisper: mkdir
|
||||
@${MAKE} -C ../.. libwhisper.a
|
||||
|
||||
test: model-small whisper modtidy
|
||||
ifeq ($(UNAME_S),Darwin)
|
||||
@C_INCLUDE_PATH=${INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} GGML_METAL_PATH_RESOURCES=${GGML_METAL_PATH_RESOURCES} go test -ldflags "-extldflags '$(EXT_LDFLAGS)'" -v .
|
||||
@C_INCLUDE_PATH=${INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} GGML_METAL_PATH_RESOURCES=${GGML_METAL_PATH_RESOURCES} go test -ldflags "-extldflags '$(EXT_LDFLAGS)'" -v ./pkg/whisper/...
|
||||
else
|
||||
@C_INCLUDE_PATH=${INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} go test -v .
|
||||
@C_INCLUDE_PATH=${INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} go test -v ./pkg/whisper/...
|
||||
endif
|
||||
|
||||
examples: $(EXAMPLES_DIR)
|
||||
|
||||
@ -43,11 +21,7 @@ model-small: mkdir examples/go-model-download
|
||||
|
||||
$(EXAMPLES_DIR): mkdir whisper modtidy
|
||||
@echo Build example $(notdir $@)
|
||||
ifeq ($(UNAME_S),Darwin)
|
||||
@C_INCLUDE_PATH=${INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} GGML_METAL_PATH_RESOURCES=${GGML_METAL_PATH_RESOURCES} go build ${BUILD_FLAGS} -ldflags "-extldflags '$(EXT_LDFLAGS)'" -o ${BUILD_DIR}/$(notdir $@) ./$@
|
||||
else
|
||||
@C_INCLUDE_PATH=${INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} go build ${BUILD_FLAGS} -o ${BUILD_DIR}/$(notdir $@) ./$@
|
||||
endif
|
||||
|
||||
mkdir:
|
||||
@echo Mkdir ${BUILD_DIR}
|
||||
|
@ -24,7 +24,7 @@ const (
|
||||
|
||||
var (
|
||||
// The models which will be downloaded, if no model is specified as an argument
|
||||
modelNames = []string{"ggml-tiny.en", "ggml-tiny", "ggml-base.en", "ggml-base", "ggml-small.en", "ggml-small", "ggml-medium.en", "ggml-medium", "ggml-large-v1", "ggml-large-v2", "ggml-large-v3"}
|
||||
modelNames = []string{"ggml-tiny.en", "ggml-tiny", "ggml-base.en", "ggml-base", "ggml-small.en", "ggml-small", "ggml-medium.en", "ggml-medium", "ggml-large-v1", "ggml-large-v2", "ggml-large"}
|
||||
)
|
||||
|
||||
var (
|
||||
|
@ -9,7 +9,6 @@ archivesBaseName = 'whispercpp'
|
||||
group = 'io.github.ggerganov'
|
||||
version = '1.4.0'
|
||||
|
||||
|
||||
sourceCompatibility = 1.8
|
||||
targetCompatibility = 1.8
|
||||
|
||||
|
@ -2,7 +2,6 @@ package io.github.ggerganov.whispercpp;
|
||||
|
||||
import com.sun.jna.Native;
|
||||
import com.sun.jna.Pointer;
|
||||
import io.github.ggerganov.whispercpp.bean.WhisperSegment;
|
||||
import io.github.ggerganov.whispercpp.params.WhisperContextParams;
|
||||
import io.github.ggerganov.whispercpp.params.WhisperFullParams;
|
||||
import io.github.ggerganov.whispercpp.params.WhisperSamplingStrategy;
|
||||
@ -10,8 +9,6 @@ import io.github.ggerganov.whispercpp.params.WhisperSamplingStrategy;
|
||||
import java.io.File;
|
||||
import java.io.FileNotFoundException;
|
||||
import java.io.IOException;
|
||||
import java.util.ArrayList;
|
||||
import java.util.List;
|
||||
|
||||
/**
|
||||
* Before calling most methods, you must call `initContext(modelPath)` to initialise the `ctx` Pointer.
|
||||
@ -163,28 +160,6 @@ public class WhisperCpp implements AutoCloseable {
|
||||
|
||||
return str.toString().trim();
|
||||
}
|
||||
public List<WhisperSegment> fullTranscribeWithTime(WhisperFullParams whisperParams, float[] audioData) throws IOException {
|
||||
if (ctx == null) {
|
||||
throw new IllegalStateException("Model not initialised");
|
||||
}
|
||||
|
||||
if (lib.whisper_full(ctx, whisperParams, audioData, audioData.length) != 0) {
|
||||
throw new IOException("Failed to process audio");
|
||||
}
|
||||
|
||||
int nSegments = lib.whisper_full_n_segments(ctx);
|
||||
List<WhisperSegment> segments= new ArrayList<>(nSegments);
|
||||
|
||||
|
||||
for (int i = 0; i < nSegments; i++) {
|
||||
long t0 = lib.whisper_full_get_segment_t0(ctx, i);
|
||||
String text = lib.whisper_full_get_segment_text(ctx, i);
|
||||
long t1 = lib.whisper_full_get_segment_t1(ctx, i);
|
||||
segments.add(new WhisperSegment(t0,t1,text));
|
||||
}
|
||||
|
||||
return segments;
|
||||
}
|
||||
|
||||
// public int getTextSegmentCount(Pointer ctx) {
|
||||
// return lib.whisper_full_n_segments(ctx);
|
||||
|
@ -1,47 +0,0 @@
|
||||
package io.github.ggerganov.whispercpp.bean;
|
||||
|
||||
/**
|
||||
* Created by litonglinux@qq.com on 10/21/2023_7:48 AM
|
||||
*/
|
||||
public class WhisperSegment {
|
||||
private long start, end;
|
||||
private String sentence;
|
||||
|
||||
public WhisperSegment() {
|
||||
}
|
||||
|
||||
public WhisperSegment(long start, long end, String sentence) {
|
||||
this.start = start;
|
||||
this.end = end;
|
||||
this.sentence = sentence;
|
||||
}
|
||||
|
||||
public long getStart() {
|
||||
return start;
|
||||
}
|
||||
|
||||
public long getEnd() {
|
||||
return end;
|
||||
}
|
||||
|
||||
public String getSentence() {
|
||||
return sentence;
|
||||
}
|
||||
|
||||
public void setStart(long start) {
|
||||
this.start = start;
|
||||
}
|
||||
|
||||
public void setEnd(long end) {
|
||||
this.end = end;
|
||||
}
|
||||
|
||||
public void setSentence(String sentence) {
|
||||
this.sentence = sentence;
|
||||
}
|
||||
|
||||
@Override
|
||||
public String toString() {
|
||||
return "[" + start + " --> " + end + "]:" + sentence;
|
||||
}
|
||||
}
|
@ -58,9 +58,6 @@ public class WhisperFullParams extends Structure {
|
||||
no_context = enable ? CBool.FALSE : CBool.TRUE;
|
||||
}
|
||||
|
||||
/** Generate timestamps or not? */
|
||||
public CBool no_timestamps;
|
||||
|
||||
/** Flag to force single segment output (useful for streaming). (default = false) */
|
||||
public CBool single_segment;
|
||||
|
||||
@ -307,16 +304,10 @@ public class WhisperFullParams extends Structure {
|
||||
logits_filter_callback = CallbackReference.getFunctionPointer(callback);
|
||||
}
|
||||
|
||||
/** Grammar stuff */
|
||||
public Pointer grammar_rules;
|
||||
public long n_grammar_rules;
|
||||
public long i_start_rule;
|
||||
public float grammar_penalty;
|
||||
|
||||
@Override
|
||||
protected List<String> getFieldOrder() {
|
||||
return Arrays.asList("strategy", "n_threads", "n_max_text_ctx", "offset_ms", "duration_ms", "translate",
|
||||
"no_context", "single_segment", "no_timestamps",
|
||||
"no_context", "single_segment",
|
||||
"print_special", "print_progress", "print_realtime", "print_timestamps", "token_timestamps",
|
||||
"thold_pt", "thold_ptsum", "max_len", "split_on_word", "max_tokens", "speed_up", "audio_ctx",
|
||||
"tdrz_enable", "initial_prompt", "prompt_tokens", "prompt_n_tokens", "language", "detect_language",
|
||||
@ -325,7 +316,6 @@ public class WhisperFullParams extends Structure {
|
||||
"new_segment_callback", "new_segment_callback_user_data",
|
||||
"progress_callback", "progress_callback_user_data",
|
||||
"encoder_begin_callback", "encoder_begin_callback_user_data",
|
||||
"logits_filter_callback", "logits_filter_callback_user_data",
|
||||
"grammar_rules", "n_grammar_rules", "i_start_rule", "grammar_penalty");
|
||||
"logits_filter_callback", "logits_filter_callback_user_data");
|
||||
}
|
||||
}
|
||||
|
@ -2,7 +2,6 @@ package io.github.ggerganov.whispercpp;
|
||||
|
||||
import static org.junit.jupiter.api.Assertions.*;
|
||||
|
||||
import io.github.ggerganov.whispercpp.bean.WhisperSegment;
|
||||
import io.github.ggerganov.whispercpp.params.CBool;
|
||||
import io.github.ggerganov.whispercpp.params.WhisperFullParams;
|
||||
import io.github.ggerganov.whispercpp.params.WhisperSamplingStrategy;
|
||||
@ -12,7 +11,6 @@ import javax.sound.sampled.AudioInputStream;
|
||||
import javax.sound.sampled.AudioSystem;
|
||||
import java.io.File;
|
||||
import java.io.FileNotFoundException;
|
||||
import java.util.List;
|
||||
|
||||
class WhisperCppTest {
|
||||
private static WhisperCpp whisper = new WhisperCpp();
|
||||
@ -22,12 +20,11 @@ class WhisperCppTest {
|
||||
static void init() throws FileNotFoundException {
|
||||
// By default, models are loaded from ~/.cache/whisper/ and are usually named "ggml-${name}.bin"
|
||||
// or you can provide the absolute path to the model file.
|
||||
//String modelName = "../../models/ggml-tiny.bin";
|
||||
String modelName = "../../models/ggml-tiny.en.bin";
|
||||
try {
|
||||
whisper.initContext(modelName);
|
||||
//whisper.getFullDefaultParams(WhisperSamplingStrategy.WHISPER_SAMPLING_GREEDY);
|
||||
//whisper.getJavaDefaultParams(WhisperSamplingStrategy.WHISPER_SAMPLING_BEAM_SEARCH);
|
||||
// whisper.getFullDefaultParams(WhisperSamplingStrategy.WHISPER_SAMPLING_GREEDY);
|
||||
// whisper.getJavaDefaultParams(WhisperSamplingStrategy.WHISPER_SAMPLING_BEAM_SEARCH);
|
||||
modelInitialised = true;
|
||||
} catch (FileNotFoundException ex) {
|
||||
System.out.println("Model " + modelName + " not found");
|
||||
@ -45,7 +42,7 @@ class WhisperCppTest {
|
||||
assertEquals(16384, params.n_max_text_ctx);
|
||||
assertFalse(params.translate);
|
||||
assertEquals(0.01f, params.thold_pt);
|
||||
assertEquals(5, params.beam_search.beam_size);
|
||||
assertEquals(2, params.beam_search.beam_size);
|
||||
assertEquals(-1.0f, params.beam_search.patience);
|
||||
}
|
||||
|
||||
@ -58,7 +55,7 @@ class WhisperCppTest {
|
||||
assertEquals(WhisperSamplingStrategy.WHISPER_SAMPLING_GREEDY.ordinal(), params.strategy);
|
||||
assertNotEquals(0, params.n_threads);
|
||||
assertEquals(16384, params.n_max_text_ctx);
|
||||
assertEquals(5, params.greedy.best_of);
|
||||
assertEquals(2, params.greedy.best_of);
|
||||
}
|
||||
|
||||
@Test
|
||||
@ -75,11 +72,11 @@ class WhisperCppTest {
|
||||
byte[] b = new byte[audioInputStream.available()];
|
||||
float[] floats = new float[b.length / 2];
|
||||
|
||||
//WhisperFullParams params = whisper.getFullDefaultParams(WhisperSamplingStrategy.WHISPER_SAMPLING_GREEDY);
|
||||
// WhisperFullParams params = whisper.getFullDefaultParams(WhisperSamplingStrategy.WHISPER_SAMPLING_GREEDY);
|
||||
WhisperFullParams params = whisper.getFullDefaultParams(WhisperSamplingStrategy.WHISPER_SAMPLING_BEAM_SEARCH);
|
||||
params.setProgressCallback((ctx, state, progress, user_data) -> System.out.println("progress: " + progress));
|
||||
params.print_progress = CBool.FALSE;
|
||||
//params.initial_prompt = "and so my fellow Americans um, like";
|
||||
// params.initial_prompt = "and so my fellow Americans um, like";
|
||||
|
||||
|
||||
try {
|
||||
@ -102,43 +99,4 @@ class WhisperCppTest {
|
||||
audioInputStream.close();
|
||||
}
|
||||
}
|
||||
|
||||
@Test
|
||||
void testFullTranscribeWithTime() throws Exception {
|
||||
if (!modelInitialised) {
|
||||
System.out.println("Model not initialised, skipping test");
|
||||
return;
|
||||
}
|
||||
|
||||
// Given
|
||||
File file = new File(System.getProperty("user.dir"), "../../samples/jfk.wav");
|
||||
AudioInputStream audioInputStream = AudioSystem.getAudioInputStream(file);
|
||||
|
||||
byte[] b = new byte[audioInputStream.available()];
|
||||
float[] floats = new float[b.length / 2];
|
||||
|
||||
//WhisperFullParams params = whisper.getFullDefaultParams(WhisperSamplingStrategy.WHISPER_SAMPLING_GREEDY);
|
||||
WhisperFullParams params = whisper.getFullDefaultParams(WhisperSamplingStrategy.WHISPER_SAMPLING_BEAM_SEARCH);
|
||||
params.setProgressCallback((ctx, state, progress, user_data) -> System.out.println("progress: " + progress));
|
||||
params.print_progress = CBool.FALSE;
|
||||
//params.initial_prompt = "and so my fellow Americans um, like";
|
||||
|
||||
try {
|
||||
audioInputStream.read(b);
|
||||
|
||||
for (int i = 0, j = 0; i < b.length; i += 2, j++) {
|
||||
int intSample = (int) (b[i + 1]) << 8 | (int) (b[i]) & 0xFF;
|
||||
floats[j] = intSample / 32767.0f;
|
||||
}
|
||||
|
||||
List<WhisperSegment> segments = whisper.fullTranscribeWithTime(params, floats);
|
||||
assertTrue(segments.size() > 0, "The size of segments should be greater than 0");
|
||||
for (WhisperSegment segment : segments) {
|
||||
System.out.println(segment);
|
||||
}
|
||||
} finally {
|
||||
audioInputStream.close();
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
|
@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "whisper.cpp",
|
||||
"version": "1.5.3",
|
||||
"version": "1.4.3",
|
||||
"description": "Whisper speech recognition",
|
||||
"main": "whisper.js",
|
||||
"scripts": {
|
||||
|
@ -70,7 +70,7 @@ extern "C" {
|
||||
void (*graph_plan_compute)(ggml_backend_t backend, ggml_backend_graph_plan_t plan);
|
||||
|
||||
// compute graph without a plan
|
||||
bool (*graph_compute)(ggml_backend_t backend, struct ggml_cgraph * cgraph);
|
||||
void (*graph_compute)(ggml_backend_t backend, struct ggml_cgraph * cgraph);
|
||||
|
||||
// check if the backend supports an operation
|
||||
bool (*supports_op)(ggml_backend_t backend, const struct ggml_tensor * op);
|
||||
|
@ -156,8 +156,8 @@ void ggml_backend_graph_plan_compute(ggml_backend_t backend, ggml_backend_graph_
|
||||
backend->iface.graph_plan_compute(backend, plan);
|
||||
}
|
||||
|
||||
bool ggml_backend_graph_compute(ggml_backend_t backend, struct ggml_cgraph * cgraph) {
|
||||
return backend->iface.graph_compute(backend, cgraph);
|
||||
void ggml_backend_graph_compute(ggml_backend_t backend, struct ggml_cgraph * cgraph) {
|
||||
backend->iface.graph_compute(backend, cgraph);
|
||||
}
|
||||
|
||||
bool ggml_backend_supports_op(ggml_backend_t backend, const struct ggml_tensor * op) {
|
||||
|
@ -52,7 +52,7 @@ extern "C" {
|
||||
|
||||
GGML_API void ggml_backend_graph_plan_free (ggml_backend_t backend, ggml_backend_graph_plan_t plan);
|
||||
GGML_API void ggml_backend_graph_plan_compute(ggml_backend_t backend, ggml_backend_graph_plan_t plan);
|
||||
GGML_API bool ggml_backend_graph_compute (ggml_backend_t backend, struct ggml_cgraph * cgraph);
|
||||
GGML_API void ggml_backend_graph_compute (ggml_backend_t backend, struct ggml_cgraph * cgraph);
|
||||
GGML_API bool ggml_backend_supports_op (ggml_backend_t backend, const struct ggml_tensor * op);
|
||||
|
||||
// tensor copy between different backends
|
||||
|
@ -14,10 +14,6 @@ if (WHISPER_SDL2)
|
||||
message(STATUS "SDL2_LIBRARIES = ${SDL2_LIBRARIES}")
|
||||
endif()
|
||||
|
||||
if (WHISPER_CLBLAST)
|
||||
find_package(CLBlast REQUIRED)
|
||||
endif()
|
||||
|
||||
# common
|
||||
|
||||
set(TARGET common)
|
||||
@ -27,7 +23,6 @@ add_library(${TARGET} STATIC
|
||||
common.cpp
|
||||
common-ggml.h
|
||||
common-ggml.cpp
|
||||
grammar-parser.cpp
|
||||
)
|
||||
|
||||
include(DefaultTargetOptions)
|
||||
@ -69,7 +64,6 @@ elseif(CMAKE_JS_VERSION)
|
||||
else()
|
||||
add_subdirectory(main)
|
||||
add_subdirectory(stream)
|
||||
add_subdirectory(server)
|
||||
add_subdirectory(command)
|
||||
add_subdirectory(bench)
|
||||
add_subdirectory(quantize)
|
||||
@ -77,5 +71,3 @@ else()
|
||||
add_subdirectory(talk-llama)
|
||||
add_subdirectory(lsp)
|
||||
endif()
|
||||
|
||||
add_subdirectory(wchess)
|
||||
|
@ -81,7 +81,7 @@ int whisper_bench_full(const whisper_params & params) {
|
||||
}
|
||||
// heat encoder
|
||||
if (int ret = whisper_encode(ctx, 0, params.n_threads) != 0) {
|
||||
fprintf(stderr, "error: failed to encode: %d\n", ret);
|
||||
fprintf(stderr, "error: failed to encode model: %d\n", ret);
|
||||
return 4;
|
||||
}
|
||||
|
||||
@ -90,13 +90,13 @@ int whisper_bench_full(const whisper_params & params) {
|
||||
|
||||
// prompt heat
|
||||
if (int ret = whisper_decode(ctx, tokens, 256, 0, params.n_threads) != 0) {
|
||||
fprintf(stderr, "error: failed to decode: %d\n", ret);
|
||||
fprintf(stderr, "error: failed to encode model: %d\n", ret);
|
||||
return 4;
|
||||
}
|
||||
|
||||
// text-generation heat
|
||||
if (int ret = whisper_decode(ctx, tokens, 1, 256, params.n_threads) != 0) {
|
||||
fprintf(stderr, "error: failed to decode: %d\n", ret);
|
||||
fprintf(stderr, "error: failed to encode model: %d\n", ret);
|
||||
return 4;
|
||||
}
|
||||
|
||||
@ -104,30 +104,20 @@ int whisper_bench_full(const whisper_params & params) {
|
||||
|
||||
// actual run
|
||||
if (int ret = whisper_encode(ctx, 0, params.n_threads) != 0) {
|
||||
fprintf(stderr, "error: failed to encode: %d\n", ret);
|
||||
fprintf(stderr, "error: failed to encode model: %d\n", ret);
|
||||
return 4;
|
||||
}
|
||||
|
||||
// text-generation
|
||||
for (int i = 0; i < 256; i++) {
|
||||
if (int ret = whisper_decode(ctx, tokens, 1, i, params.n_threads) != 0) {
|
||||
fprintf(stderr, "error: failed to decode: %d\n", ret);
|
||||
return 4;
|
||||
}
|
||||
}
|
||||
|
||||
// batched decoding
|
||||
for (int i = 0; i < 64; i++) {
|
||||
if (int ret = whisper_decode(ctx, tokens, 5, 0, params.n_threads) != 0) {
|
||||
fprintf(stderr, "error: failed to decode: %d\n", ret);
|
||||
return 4;
|
||||
}
|
||||
}
|
||||
|
||||
// prompt processing
|
||||
for (int i = 0; i < 16; i++) {
|
||||
if (int ret = whisper_decode(ctx, tokens, 256, 0, params.n_threads) != 0) {
|
||||
fprintf(stderr, "error: failed to decode: %d\n", ret);
|
||||
fprintf(stderr, "error: failed to encode model: %d\n", ret);
|
||||
return 4;
|
||||
}
|
||||
}
|
||||
|
||||
for (int i = 0; i < 256; i++) {
|
||||
if (int ret = whisper_decode(ctx, tokens, 1, i, params.n_threads) != 0) {
|
||||
fprintf(stderr, "error: failed to encode model: %d\n", ret);
|
||||
return 4;
|
||||
}
|
||||
}
|
||||
|
@ -9,7 +9,6 @@
|
||||
#include "common-sdl.h"
|
||||
#include "common.h"
|
||||
#include "whisper.h"
|
||||
#include "grammar-parser.h"
|
||||
|
||||
#include <sstream>
|
||||
#include <cassert>
|
||||
@ -22,11 +21,6 @@
|
||||
#include <vector>
|
||||
#include <map>
|
||||
|
||||
bool file_exists(const std::string & fname) {
|
||||
std::ifstream f(fname.c_str());
|
||||
return f.good();
|
||||
}
|
||||
|
||||
// command-line parameters
|
||||
struct whisper_params {
|
||||
int32_t n_threads = std::min(4, (int32_t) std::thread::hardware_concurrency());
|
||||
@ -36,12 +30,8 @@ struct whisper_params {
|
||||
int32_t max_tokens = 32;
|
||||
int32_t audio_ctx = 0;
|
||||
|
||||
float vad_thold = 0.6f;
|
||||
float freq_thold = 100.0f;
|
||||
|
||||
float grammar_penalty = 100.0f;
|
||||
|
||||
grammar_parser::parse_state grammar_parsed;
|
||||
float vad_thold = 0.6f;
|
||||
float freq_thold = 100.0f;
|
||||
|
||||
bool speed_up = false;
|
||||
bool translate = false;
|
||||
@ -55,8 +45,6 @@ struct whisper_params {
|
||||
std::string fname_out;
|
||||
std::string commands;
|
||||
std::string prompt;
|
||||
std::string context;
|
||||
std::string grammar;
|
||||
};
|
||||
|
||||
void whisper_print_usage(int argc, char ** argv, const whisper_params & params);
|
||||
@ -87,9 +75,6 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
|
||||
else if (arg == "-f" || arg == "--file") { params.fname_out = argv[++i]; }
|
||||
else if (arg == "-cmd" || arg == "--commands") { params.commands = argv[++i]; }
|
||||
else if (arg == "-p" || arg == "--prompt") { params.prompt = argv[++i]; }
|
||||
else if (arg == "-ctx" || arg == "--context") { params.context = argv[++i]; }
|
||||
else if ( arg == "--grammar") { params.grammar = argv[++i]; }
|
||||
else if ( arg == "--grammar-penalty") { params.grammar_penalty = std::stof(argv[++i]); }
|
||||
else {
|
||||
fprintf(stderr, "error: unknown argument: %s\n", arg.c_str());
|
||||
whisper_print_usage(argc, argv, params);
|
||||
@ -124,30 +109,16 @@ void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & para
|
||||
fprintf(stderr, " -f FNAME, --file FNAME [%-7s] text output file name\n", params.fname_out.c_str());
|
||||
fprintf(stderr, " -cmd FNAME, --commands FNAME [%-7s] text file with allowed commands\n", params.commands.c_str());
|
||||
fprintf(stderr, " -p, --prompt [%-7s] the required activation prompt\n", params.prompt.c_str());
|
||||
fprintf(stderr, " -ctx, --context [%-7s] sample text to help the transcription\n", params.context.c_str());
|
||||
fprintf(stderr, " --grammar GRAMMAR [%-7s] GBNF grammar to guide decoding\n", params.grammar.c_str());
|
||||
fprintf(stderr, " --grammar-penalty N [%-7.1f] scales down logits of nongrammar tokens\n", params.grammar_penalty);
|
||||
fprintf(stderr, "\n");
|
||||
}
|
||||
|
||||
std::string transcribe(
|
||||
whisper_context * ctx,
|
||||
const whisper_params & params,
|
||||
const std::vector<float> & pcmf32,
|
||||
const std::string & grammar_rule,
|
||||
float & logprob_min,
|
||||
float & logprob_sum,
|
||||
int & n_tokens,
|
||||
int64_t & t_ms) {
|
||||
std::string transcribe(whisper_context * ctx, const whisper_params & params, const std::vector<float> & pcmf32, float & prob, int64_t & t_ms) {
|
||||
const auto t_start = std::chrono::high_resolution_clock::now();
|
||||
|
||||
logprob_min = 0.0f;
|
||||
logprob_sum = 0.0f;
|
||||
n_tokens = 0;
|
||||
prob = 0.0f;
|
||||
t_ms = 0;
|
||||
|
||||
//whisper_full_params wparams = whisper_full_default_params(WHISPER_SAMPLING_GREEDY);
|
||||
whisper_full_params wparams = whisper_full_default_params(WHISPER_SAMPLING_BEAM_SEARCH);
|
||||
whisper_full_params wparams = whisper_full_default_params(WHISPER_SAMPLING_GREEDY);
|
||||
|
||||
wparams.print_progress = false;
|
||||
wparams.print_special = params.print_special;
|
||||
@ -155,41 +126,19 @@ std::string transcribe(
|
||||
wparams.print_timestamps = !params.no_timestamps;
|
||||
wparams.translate = params.translate;
|
||||
wparams.no_context = true;
|
||||
wparams.no_timestamps = params.no_timestamps;
|
||||
wparams.single_segment = true;
|
||||
wparams.max_tokens = params.max_tokens;
|
||||
wparams.language = params.language.c_str();
|
||||
wparams.n_threads = params.n_threads;
|
||||
|
||||
wparams.audio_ctx = params.audio_ctx;
|
||||
wparams.speed_up = params.speed_up;
|
||||
|
||||
wparams.temperature = 0.4f;
|
||||
wparams.temperature_inc = 1.0f;
|
||||
wparams.greedy.best_of = 5;
|
||||
|
||||
wparams.beam_search.beam_size = 5;
|
||||
|
||||
wparams.initial_prompt = params.context.data();
|
||||
|
||||
const auto & grammar_parsed = params.grammar_parsed;
|
||||
auto grammar_rules = grammar_parsed.c_rules();
|
||||
|
||||
if (!params.grammar_parsed.rules.empty() && !grammar_rule.empty()) {
|
||||
if (grammar_parsed.symbol_ids.find(grammar_rule) == grammar_parsed.symbol_ids.end()) {
|
||||
fprintf(stderr, "%s: warning: grammar rule '%s' not found - skipping grammar sampling\n", __func__, grammar_rule.c_str());
|
||||
} else {
|
||||
wparams.grammar_rules = grammar_rules.data();
|
||||
wparams.n_grammar_rules = grammar_rules.size();
|
||||
wparams.i_start_rule = grammar_parsed.symbol_ids.at(grammar_rule);
|
||||
wparams.grammar_penalty = params.grammar_penalty;
|
||||
}
|
||||
}
|
||||
wparams.audio_ctx = params.audio_ctx;
|
||||
wparams.speed_up = params.speed_up;
|
||||
|
||||
if (whisper_full(ctx, wparams, pcmf32.data(), pcmf32.size()) != 0) {
|
||||
return "";
|
||||
}
|
||||
|
||||
int prob_n = 0;
|
||||
std::string result;
|
||||
|
||||
const int n_segments = whisper_full_n_segments(ctx);
|
||||
@ -198,17 +147,19 @@ std::string transcribe(
|
||||
|
||||
result += text;
|
||||
|
||||
const int n = whisper_full_n_tokens(ctx, i);
|
||||
for (int j = 0; j < n; ++j) {
|
||||
const int n_tokens = whisper_full_n_tokens(ctx, i);
|
||||
for (int j = 0; j < n_tokens; ++j) {
|
||||
const auto token = whisper_full_get_token_data(ctx, i, j);
|
||||
|
||||
if(token.plog > 0.0f) exit(0);
|
||||
logprob_min = std::min(logprob_min, token.plog);
|
||||
logprob_sum += token.plog;
|
||||
++n_tokens;
|
||||
prob += token.p;
|
||||
++prob_n;
|
||||
}
|
||||
}
|
||||
|
||||
if (prob_n > 0) {
|
||||
prob /= prob_n;
|
||||
}
|
||||
|
||||
const auto t_end = std::chrono::high_resolution_clock::now();
|
||||
t_ms = std::chrono::duration_cast<std::chrono::milliseconds>(t_end - t_start).count();
|
||||
|
||||
@ -299,7 +250,7 @@ int process_command_list(struct whisper_context * ctx, audio_async &audio, const
|
||||
fprintf(stderr, " ]\n");
|
||||
}
|
||||
|
||||
std::string k_prompt = "select one from the available words: ";
|
||||
std::string k_prompt = "select one from the available words: ";
|
||||
for (int i = 0; i < (int) allowed_commands.size(); ++i) {
|
||||
if (i > 0) {
|
||||
k_prompt += ", ";
|
||||
@ -467,9 +418,7 @@ int always_prompt_transcription(struct whisper_context * ctx, audio_async & audi
|
||||
bool is_running = true;
|
||||
bool ask_prompt = true;
|
||||
|
||||
float logprob_min = 0.0f;
|
||||
float logprob_sum = 0.0f;
|
||||
int n_tokens = 0;
|
||||
float prob = 0.0f;
|
||||
|
||||
std::vector<float> pcmf32_cur;
|
||||
|
||||
@ -507,7 +456,7 @@ int always_prompt_transcription(struct whisper_context * ctx, audio_async & audi
|
||||
// detect the commands
|
||||
audio.get(params.command_ms, pcmf32_cur);
|
||||
|
||||
const auto txt = ::trim(::transcribe(ctx, params, pcmf32_cur, "", logprob_min, logprob_sum, n_tokens, t_ms));
|
||||
const auto txt = ::trim(::transcribe(ctx, params, pcmf32_cur, prob, t_ms));
|
||||
|
||||
const auto words = get_words(txt);
|
||||
|
||||
@ -543,27 +492,18 @@ int always_prompt_transcription(struct whisper_context * ctx, audio_async & audi
|
||||
|
||||
// general-purpose mode
|
||||
// freely transcribe the voice into text
|
||||
int process_general_transcription(struct whisper_context * ctx, audio_async & audio, const whisper_params & params) {
|
||||
int process_general_transcription(struct whisper_context * ctx, audio_async &audio, const whisper_params ¶ms) {
|
||||
bool is_running = true;
|
||||
bool have_prompt = false;
|
||||
bool ask_prompt = true;
|
||||
|
||||
float logprob_min0 = 0.0f;
|
||||
float logprob_min = 0.0f;
|
||||
|
||||
float logprob_sum0 = 0.0f;
|
||||
float logprob_sum = 0.0f;
|
||||
|
||||
int n_tokens0 = 0;
|
||||
int n_tokens = 0;
|
||||
float prob0 = 0.0f;
|
||||
float prob = 0.0f;
|
||||
|
||||
std::vector<float> pcmf32_cur;
|
||||
std::vector<float> pcmf32_prompt;
|
||||
|
||||
std::string k_prompt = "Ok Whisper, start listening for commands.";
|
||||
if (!params.prompt.empty()) {
|
||||
k_prompt = params.prompt;
|
||||
}
|
||||
const std::string k_prompt = "Ok Whisper, start listening for commands.";
|
||||
|
||||
fprintf(stderr, "\n");
|
||||
fprintf(stderr, "%s: general-purpose mode\n", __func__);
|
||||
@ -596,11 +536,9 @@ int process_general_transcription(struct whisper_context * ctx, audio_async & au
|
||||
// wait for activation phrase
|
||||
audio.get(params.prompt_ms, pcmf32_cur);
|
||||
|
||||
const auto txt = ::trim(::transcribe(ctx, params, pcmf32_cur, "prompt", logprob_min0, logprob_sum0, n_tokens0, t_ms));
|
||||
const auto txt = ::trim(::transcribe(ctx, params, pcmf32_cur, prob0, t_ms));
|
||||
|
||||
const float p = 100.0f * std::exp(logprob_min0);
|
||||
|
||||
fprintf(stdout, "%s: Heard '%s%s%s', (t = %d ms, p = %.2f%%)\n", __func__, "\033[1m", txt.c_str(), "\033[0m", (int) t_ms, p);
|
||||
fprintf(stdout, "%s: Heard '%s%s%s', (t = %d ms)\n", __func__, "\033[1m", txt.c_str(), "\033[0m", (int) t_ms);
|
||||
|
||||
const float sim = similarity(txt, k_prompt);
|
||||
|
||||
@ -621,30 +559,19 @@ int process_general_transcription(struct whisper_context * ctx, audio_async & au
|
||||
// we have heard the activation phrase, now detect the commands
|
||||
audio.get(params.command_ms, pcmf32_cur);
|
||||
|
||||
//printf("len prompt: %.4f\n", pcmf32_prompt.size() / (float) WHISPER_SAMPLE_RATE);
|
||||
//printf("len command: %.4f\n", pcmf32_cur.size() / (float) WHISPER_SAMPLE_RATE);
|
||||
|
||||
// prepend 3 second of silence
|
||||
pcmf32_cur.insert(pcmf32_cur.begin(), 3.0f*WHISPER_SAMPLE_RATE, 0.0f);
|
||||
|
||||
// prepend the prompt audio
|
||||
pcmf32_cur.insert(pcmf32_cur.begin(), pcmf32_prompt.begin(), pcmf32_prompt.end());
|
||||
|
||||
const auto txt = ::trim(::transcribe(ctx, params, pcmf32_cur, "root", logprob_min, logprob_sum, n_tokens, t_ms));
|
||||
const auto txt = ::trim(::transcribe(ctx, params, pcmf32_cur, prob, t_ms));
|
||||
|
||||
//const float p = 100.0f * std::exp((logprob - logprob0) / (n_tokens - n_tokens0));
|
||||
const float p = 100.0f * std::exp(logprob_min);
|
||||
prob = 100.0f*(prob - prob0);
|
||||
|
||||
//fprintf(stdout, "%s: heard '%s'\n", __func__, txt.c_str());
|
||||
|
||||
// find the prompt in the text
|
||||
float best_sim = 0.0f;
|
||||
size_t best_len = 0;
|
||||
for (size_t n = 0.8*k_prompt.size(); n <= 1.2*k_prompt.size(); ++n) {
|
||||
if (n >= txt.size()) {
|
||||
break;
|
||||
}
|
||||
|
||||
for (int n = 0.8*k_prompt.size(); n <= 1.2*k_prompt.size(); ++n) {
|
||||
const auto prompt = txt.substr(0, n);
|
||||
|
||||
const float sim = similarity(prompt, k_prompt);
|
||||
@ -657,16 +584,9 @@ int process_general_transcription(struct whisper_context * ctx, audio_async & au
|
||||
}
|
||||
}
|
||||
|
||||
fprintf(stdout, "%s: DEBUG: txt = '%s', prob = %.2f%%\n", __func__, txt.c_str(), p);
|
||||
if (best_len == 0) {
|
||||
fprintf(stdout, "%s: WARNING: command not recognized, try again\n", __func__);
|
||||
} else {
|
||||
// cut the prompt from the decoded text
|
||||
const std::string command = ::trim(txt.substr(best_len));
|
||||
|
||||
fprintf(stdout, "%s: Command '%s%s%s', (t = %d ms)\n", __func__, "\033[1m", command.c_str(), "\033[0m", (int) t_ms);
|
||||
}
|
||||
const std::string command = ::trim(txt.substr(best_len));
|
||||
|
||||
fprintf(stdout, "%s: Command '%s%s%s', (t = %d ms)\n", __func__, "\033[1m", command.c_str(), "\033[0m", (int) t_ms);
|
||||
fprintf(stdout, "\n");
|
||||
}
|
||||
|
||||
@ -734,36 +654,12 @@ int main(int argc, char ** argv) {
|
||||
|
||||
int ret_val = 0;
|
||||
|
||||
if (!params.grammar.empty()) {
|
||||
auto & grammar = params.grammar_parsed;
|
||||
if (file_exists(params.grammar.c_str())) {
|
||||
// read grammar from file
|
||||
std::ifstream ifs(params.grammar.c_str());
|
||||
const std::string txt = std::string((std::istreambuf_iterator<char>(ifs)), std::istreambuf_iterator<char>());
|
||||
grammar = grammar_parser::parse(txt.c_str());
|
||||
} else {
|
||||
// read grammar from string
|
||||
grammar = grammar_parser::parse(params.grammar.c_str());
|
||||
}
|
||||
|
||||
// will be empty (default) if there are parse errors
|
||||
if (grammar.rules.empty()) {
|
||||
ret_val = 1;
|
||||
} else {
|
||||
fprintf(stderr, "%s: grammar:\n", __func__);
|
||||
grammar_parser::print_grammar(stderr, grammar);
|
||||
fprintf(stderr, "\n");
|
||||
}
|
||||
}
|
||||
|
||||
if (ret_val == 0) {
|
||||
if (!params.commands.empty()) {
|
||||
ret_val = process_command_list(ctx, audio, params);
|
||||
} else if (!params.prompt.empty() && params.grammar_parsed.rules.empty()) {
|
||||
ret_val = always_prompt_transcription(ctx, audio, params);
|
||||
} else {
|
||||
ret_val = process_general_transcription(ctx, audio, params);
|
||||
}
|
||||
if (!params.commands.empty()) {
|
||||
ret_val = process_command_list(ctx, audio, params);
|
||||
} else if (!params.prompt.empty()) {
|
||||
ret_val = always_prompt_transcription(ctx, audio, params);
|
||||
} else {
|
||||
ret_val = process_general_transcription(ctx, audio, params);
|
||||
}
|
||||
|
||||
audio.pause();
|
||||
|
@ -9,11 +9,6 @@ static const std::map<std::string, enum ggml_ftype> GGML_FTYPE_MAP = {
|
||||
{"q5_0", GGML_FTYPE_MOSTLY_Q5_0},
|
||||
{"q5_1", GGML_FTYPE_MOSTLY_Q5_1},
|
||||
{"q8_0", GGML_FTYPE_MOSTLY_Q8_0},
|
||||
{"q2_k", GGML_FTYPE_MOSTLY_Q2_K},
|
||||
{"q3_k", GGML_FTYPE_MOSTLY_Q3_K},
|
||||
{"q4_k", GGML_FTYPE_MOSTLY_Q4_K},
|
||||
{"q5_k", GGML_FTYPE_MOSTLY_Q5_K},
|
||||
{"q6_k", GGML_FTYPE_MOSTLY_Q6_K},
|
||||
};
|
||||
|
||||
void ggml_print_ftypes(FILE * fp) {
|
||||
@ -53,15 +48,15 @@ bool ggml_common_quantize_0(
|
||||
case GGML_FTYPE_MOSTLY_Q5_0: qtype = GGML_TYPE_Q5_0; break;
|
||||
case GGML_FTYPE_MOSTLY_Q5_1: qtype = GGML_TYPE_Q5_1; break;
|
||||
case GGML_FTYPE_MOSTLY_Q8_0: qtype = GGML_TYPE_Q8_0; break;
|
||||
case GGML_FTYPE_MOSTLY_Q2_K: qtype = GGML_TYPE_Q2_K; break;
|
||||
case GGML_FTYPE_MOSTLY_Q3_K: qtype = GGML_TYPE_Q3_K; break;
|
||||
case GGML_FTYPE_MOSTLY_Q4_K: qtype = GGML_TYPE_Q4_K; break;
|
||||
case GGML_FTYPE_MOSTLY_Q5_K: qtype = GGML_TYPE_Q5_K; break;
|
||||
case GGML_FTYPE_MOSTLY_Q6_K: qtype = GGML_TYPE_Q6_K; break;
|
||||
case GGML_FTYPE_UNKNOWN:
|
||||
case GGML_FTYPE_ALL_F32:
|
||||
case GGML_FTYPE_MOSTLY_F16:
|
||||
case GGML_FTYPE_MOSTLY_Q4_1_SOME_F16:
|
||||
case GGML_FTYPE_MOSTLY_Q2_K:
|
||||
case GGML_FTYPE_MOSTLY_Q3_K:
|
||||
case GGML_FTYPE_MOSTLY_Q4_K:
|
||||
case GGML_FTYPE_MOSTLY_Q5_K:
|
||||
case GGML_FTYPE_MOSTLY_Q6_K:
|
||||
{
|
||||
fprintf(stderr, "%s: invalid model type %d\n", __func__, ftype);
|
||||
return false;
|
||||
@ -172,17 +167,24 @@ bool ggml_common_quantize_0(
|
||||
|
||||
switch ((ggml_type) ttype) {
|
||||
case GGML_TYPE_Q4_0:
|
||||
case GGML_TYPE_Q4_1:
|
||||
case GGML_TYPE_Q5_0:
|
||||
case GGML_TYPE_Q5_1:
|
||||
case GGML_TYPE_Q8_0:
|
||||
case GGML_TYPE_Q2_K:
|
||||
case GGML_TYPE_Q3_K:
|
||||
case GGML_TYPE_Q4_K:
|
||||
case GGML_TYPE_Q5_K:
|
||||
case GGML_TYPE_Q6_K:
|
||||
{
|
||||
cur_size = ggml_quantize_chunk((ggml_type) ttype, data_f32.data(), work.data(), 0, nelements, hist_cur.data());
|
||||
cur_size = ggml_quantize_q4_0(data_f32.data(), work.data(), nelements, ne[0], hist_cur.data());
|
||||
} break;
|
||||
case GGML_TYPE_Q4_1:
|
||||
{
|
||||
cur_size = ggml_quantize_q4_1(data_f32.data(), work.data(), nelements, ne[0], hist_cur.data());
|
||||
} break;
|
||||
case GGML_TYPE_Q5_0:
|
||||
{
|
||||
cur_size = ggml_quantize_q5_0(data_f32.data(), work.data(), nelements, ne[0], hist_cur.data());
|
||||
} break;
|
||||
case GGML_TYPE_Q5_1:
|
||||
{
|
||||
cur_size = ggml_quantize_q5_1(data_f32.data(), work.data(), nelements, ne[0], hist_cur.data());
|
||||
} break;
|
||||
case GGML_TYPE_Q8_0:
|
||||
{
|
||||
cur_size = ggml_quantize_q8_0(data_f32.data(), work.data(), nelements, ne[0], hist_cur.data());
|
||||
} break;
|
||||
case GGML_TYPE_F32:
|
||||
case GGML_TYPE_F16:
|
||||
@ -190,6 +192,11 @@ bool ggml_common_quantize_0(
|
||||
case GGML_TYPE_I16:
|
||||
case GGML_TYPE_I32:
|
||||
case GGML_TYPE_Q8_1:
|
||||
case GGML_TYPE_Q2_K:
|
||||
case GGML_TYPE_Q3_K:
|
||||
case GGML_TYPE_Q4_K:
|
||||
case GGML_TYPE_Q5_K:
|
||||
case GGML_TYPE_Q6_K:
|
||||
case GGML_TYPE_Q8_K:
|
||||
case GGML_TYPE_COUNT:
|
||||
{
|
||||
|
@ -139,13 +139,10 @@ void audio_async::callback(uint8_t * stream, int len) {
|
||||
return;
|
||||
}
|
||||
|
||||
size_t n_samples = len / sizeof(float);
|
||||
const size_t n_samples = len / sizeof(float);
|
||||
|
||||
if (n_samples > m_audio.size()) {
|
||||
n_samples = m_audio.size();
|
||||
|
||||
stream += (len - (n_samples * sizeof(float)));
|
||||
}
|
||||
m_audio_new.resize(n_samples);
|
||||
memcpy(m_audio_new.data(), stream, n_samples * sizeof(float));
|
||||
|
||||
//fprintf(stderr, "%s: %zu samples, pos %zu, len %zu\n", __func__, n_samples, m_audio_pos, m_audio_len);
|
||||
|
||||
@ -156,7 +153,7 @@ void audio_async::callback(uint8_t * stream, int len) {
|
||||
const size_t n0 = m_audio.size() - m_audio_pos;
|
||||
|
||||
memcpy(&m_audio[m_audio_pos], stream, n0 * sizeof(float));
|
||||
memcpy(&m_audio[0], stream + n0 * sizeof(float), (n_samples - n0) * sizeof(float));
|
||||
memcpy(&m_audio[0], &stream[n0], (n_samples - n0) * sizeof(float));
|
||||
|
||||
m_audio_pos = (m_audio_pos + n_samples) % m_audio.size();
|
||||
m_audio_len = m_audio.size();
|
||||
|
@ -41,6 +41,7 @@ private:
|
||||
std::mutex m_mutex;
|
||||
|
||||
std::vector<float> m_audio;
|
||||
std::vector<float> m_audio_new;
|
||||
size_t m_audio_pos = 0;
|
||||
size_t m_audio_len = 0;
|
||||
};
|
||||
|
@ -1,423 +0,0 @@
|
||||
#include "grammar-parser.h"
|
||||
#include <cstdint>
|
||||
#include <cwchar>
|
||||
#include <string>
|
||||
#include <utility>
|
||||
#include <stdexcept>
|
||||
#include <exception>
|
||||
|
||||
namespace grammar_parser {
|
||||
// NOTE: assumes valid utf8 (but checks for overrun)
|
||||
// copied from whisper.cpp
|
||||
std::pair<uint32_t, const char *> decode_utf8(const char * src) {
|
||||
static const int lookup[] = { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 3, 4 };
|
||||
uint8_t first_byte = static_cast<uint8_t>(*src);
|
||||
uint8_t highbits = first_byte >> 4;
|
||||
int len = lookup[highbits];
|
||||
uint8_t mask = (1 << (8 - len)) - 1;
|
||||
uint32_t value = first_byte & mask;
|
||||
const char * end = src + len; // may overrun!
|
||||
const char * pos = src + 1;
|
||||
for ( ; pos < end && *pos; pos++) {
|
||||
value = (value << 6) + (static_cast<uint8_t>(*pos) & 0x3F);
|
||||
}
|
||||
return std::make_pair(value, pos);
|
||||
}
|
||||
|
||||
uint32_t get_symbol_id(parse_state & state, const char * src, size_t len) {
|
||||
uint32_t next_id = static_cast<uint32_t>(state.symbol_ids.size());
|
||||
auto result = state.symbol_ids.insert(std::make_pair(std::string(src, len), next_id));
|
||||
return result.first->second;
|
||||
}
|
||||
|
||||
uint32_t generate_symbol_id(parse_state & state, const std::string & base_name) {
|
||||
uint32_t next_id = static_cast<uint32_t>(state.symbol_ids.size());
|
||||
state.symbol_ids[base_name + '_' + std::to_string(next_id)] = next_id;
|
||||
return next_id;
|
||||
}
|
||||
|
||||
void add_rule(
|
||||
parse_state & state,
|
||||
uint32_t rule_id,
|
||||
const std::vector<whisper_grammar_element> & rule) {
|
||||
if (state.rules.size() <= rule_id) {
|
||||
state.rules.resize(rule_id + 1);
|
||||
}
|
||||
state.rules[rule_id] = rule;
|
||||
}
|
||||
|
||||
bool is_word_char(char c) {
|
||||
return ('a' <= c && c <= 'z') || ('A' <= c && c <= 'Z') || c == '-' || ('0' <= c && c <= '9');
|
||||
}
|
||||
|
||||
std::pair<uint32_t, const char *> parse_hex(const char * src, int size) {
|
||||
const char * pos = src;
|
||||
const char * end = src + size;
|
||||
uint32_t value = 0;
|
||||
for ( ; pos < end && *pos; pos++) {
|
||||
value <<= 4;
|
||||
char c = *pos;
|
||||
if ('a' <= c && c <= 'f') {
|
||||
value += c - 'a' + 10;
|
||||
} else if ('A' <= c && c <= 'F') {
|
||||
value += c - 'A' + 10;
|
||||
} else if ('0' <= c && c <= '9') {
|
||||
value += c - '0';
|
||||
} else {
|
||||
break;
|
||||
}
|
||||
}
|
||||
if (pos != end) {
|
||||
throw std::runtime_error("expecting " + std::to_string(size) + " hex chars at " + src);
|
||||
}
|
||||
return std::make_pair(value, pos);
|
||||
}
|
||||
|
||||
const char * parse_space(const char * src, bool newline_ok) {
|
||||
const char * pos = src;
|
||||
while (*pos == ' ' || *pos == '\t' || *pos == '#' ||
|
||||
(newline_ok && (*pos == '\r' || *pos == '\n'))) {
|
||||
if (*pos == '#') {
|
||||
while (*pos && *pos != '\r' && *pos != '\n') {
|
||||
pos++;
|
||||
}
|
||||
} else {
|
||||
pos++;
|
||||
}
|
||||
}
|
||||
return pos;
|
||||
}
|
||||
|
||||
const char * parse_name(const char * src) {
|
||||
const char * pos = src;
|
||||
while (is_word_char(*pos)) {
|
||||
pos++;
|
||||
}
|
||||
if (pos == src) {
|
||||
throw std::runtime_error(std::string("expecting name at ") + src);
|
||||
}
|
||||
return pos;
|
||||
}
|
||||
|
||||
std::pair<uint32_t, const char *> parse_char(const char * src) {
|
||||
if (*src == '\\') {
|
||||
switch (src[1]) {
|
||||
case 'x': return parse_hex(src + 2, 2);
|
||||
case 'u': return parse_hex(src + 2, 4);
|
||||
case 'U': return parse_hex(src + 2, 8);
|
||||
case 't': return std::make_pair('\t', src + 2);
|
||||
case 'r': return std::make_pair('\r', src + 2);
|
||||
case 'n': return std::make_pair('\n', src + 2);
|
||||
case '\\':
|
||||
case '"':
|
||||
case '[':
|
||||
case ']':
|
||||
return std::make_pair(src[1], src + 2);
|
||||
default:
|
||||
throw std::runtime_error(std::string("unknown escape at ") + src);
|
||||
}
|
||||
} else if (*src) {
|
||||
return decode_utf8(src);
|
||||
}
|
||||
throw std::runtime_error("unexpected end of input");
|
||||
}
|
||||
|
||||
const char * parse_alternates(
|
||||
parse_state & state,
|
||||
const char * src,
|
||||
const std::string & rule_name,
|
||||
uint32_t rule_id,
|
||||
bool is_nested);
|
||||
|
||||
const char * parse_sequence(
|
||||
parse_state & state,
|
||||
const char * src,
|
||||
const std::string & rule_name,
|
||||
std::vector<whisper_grammar_element> & out_elements,
|
||||
bool is_nested) {
|
||||
size_t last_sym_start = out_elements.size();
|
||||
const char * pos = src;
|
||||
while (*pos) {
|
||||
if (*pos == '"') { // literal string
|
||||
pos++;
|
||||
last_sym_start = out_elements.size();
|
||||
while (*pos != '"') {
|
||||
auto char_pair = parse_char(pos);
|
||||
pos = char_pair.second;
|
||||
out_elements.push_back({WHISPER_GRETYPE_CHAR, char_pair.first});
|
||||
}
|
||||
pos = parse_space(pos + 1, is_nested);
|
||||
} else if (*pos == '[') { // char range(s)
|
||||
pos++;
|
||||
enum whisper_gretype start_type = WHISPER_GRETYPE_CHAR;
|
||||
if (*pos == '^') {
|
||||
pos++;
|
||||
start_type = WHISPER_GRETYPE_CHAR_NOT;
|
||||
}
|
||||
last_sym_start = out_elements.size();
|
||||
while (*pos != ']') {
|
||||
auto char_pair = parse_char(pos);
|
||||
pos = char_pair.second;
|
||||
enum whisper_gretype type = last_sym_start < out_elements.size()
|
||||
? WHISPER_GRETYPE_CHAR_ALT
|
||||
: start_type;
|
||||
|
||||
out_elements.push_back({type, char_pair.first});
|
||||
if (pos[0] == '-' && pos[1] != ']') {
|
||||
auto endchar_pair = parse_char(pos + 1);
|
||||
pos = endchar_pair.second;
|
||||
out_elements.push_back({WHISPER_GRETYPE_CHAR_RNG_UPPER, endchar_pair.first});
|
||||
}
|
||||
}
|
||||
pos = parse_space(pos + 1, is_nested);
|
||||
} else if (is_word_char(*pos)) { // rule reference
|
||||
const char * name_end = parse_name(pos);
|
||||
uint32_t ref_rule_id = get_symbol_id(state, pos, name_end - pos);
|
||||
pos = parse_space(name_end, is_nested);
|
||||
last_sym_start = out_elements.size();
|
||||
out_elements.push_back({WHISPER_GRETYPE_RULE_REF, ref_rule_id});
|
||||
} else if (*pos == '(') { // grouping
|
||||
// parse nested alternates into synthesized rule
|
||||
pos = parse_space(pos + 1, true);
|
||||
uint32_t sub_rule_id = generate_symbol_id(state, rule_name);
|
||||
pos = parse_alternates(state, pos, rule_name, sub_rule_id, true);
|
||||
last_sym_start = out_elements.size();
|
||||
// output reference to synthesized rule
|
||||
out_elements.push_back({WHISPER_GRETYPE_RULE_REF, sub_rule_id});
|
||||
if (*pos != ')') {
|
||||
throw std::runtime_error(std::string("expecting ')' at ") + pos);
|
||||
}
|
||||
pos = parse_space(pos + 1, is_nested);
|
||||
} else if (*pos == '*' || *pos == '+' || *pos == '?') { // repetition operator
|
||||
if (last_sym_start == out_elements.size()) {
|
||||
throw std::runtime_error(std::string("expecting preceeding item to */+/? at ") + pos);
|
||||
}
|
||||
|
||||
// apply transformation to previous symbol (last_sym_start to end) according to
|
||||
// rewrite rules:
|
||||
// S* --> S' ::= S S' |
|
||||
// S+ --> S' ::= S S' | S
|
||||
// S? --> S' ::= S |
|
||||
uint32_t sub_rule_id = generate_symbol_id(state, rule_name);
|
||||
std::vector<whisper_grammar_element> sub_rule;
|
||||
// add preceding symbol to generated rule
|
||||
sub_rule.insert(
|
||||
sub_rule.end(), out_elements.begin() + last_sym_start, out_elements.end());
|
||||
if (*pos == '*' || *pos == '+') {
|
||||
// cause generated rule to recurse
|
||||
sub_rule.push_back({WHISPER_GRETYPE_RULE_REF, sub_rule_id});
|
||||
}
|
||||
// mark start of alternate def
|
||||
sub_rule.push_back({WHISPER_GRETYPE_ALT, 0});
|
||||
if (*pos == '+') {
|
||||
// add preceding symbol as alternate only for '+' (otherwise empty)
|
||||
sub_rule.insert(
|
||||
sub_rule.end(), out_elements.begin() + last_sym_start, out_elements.end());
|
||||
}
|
||||
sub_rule.push_back({WHISPER_GRETYPE_END, 0});
|
||||
add_rule(state, sub_rule_id, sub_rule);
|
||||
|
||||
// in original rule, replace previous symbol with reference to generated rule
|
||||
out_elements.resize(last_sym_start);
|
||||
out_elements.push_back({WHISPER_GRETYPE_RULE_REF, sub_rule_id});
|
||||
|
||||
pos = parse_space(pos + 1, is_nested);
|
||||
} else {
|
||||
break;
|
||||
}
|
||||
}
|
||||
return pos;
|
||||
}
|
||||
|
||||
const char * parse_alternates(
|
||||
parse_state & state,
|
||||
const char * src,
|
||||
const std::string & rule_name,
|
||||
uint32_t rule_id,
|
||||
bool is_nested) {
|
||||
std::vector<whisper_grammar_element> rule;
|
||||
const char * pos = parse_sequence(state, src, rule_name, rule, is_nested);
|
||||
while (*pos == '|') {
|
||||
rule.push_back({WHISPER_GRETYPE_ALT, 0});
|
||||
pos = parse_space(pos + 1, true);
|
||||
pos = parse_sequence(state, pos, rule_name, rule, is_nested);
|
||||
}
|
||||
rule.push_back({WHISPER_GRETYPE_END, 0});
|
||||
add_rule(state, rule_id, rule);
|
||||
return pos;
|
||||
}
|
||||
|
||||
const char * parse_rule(parse_state & state, const char * src) {
|
||||
const char * name_end = parse_name(src);
|
||||
const char * pos = parse_space(name_end, false);
|
||||
size_t name_len = name_end - src;
|
||||
uint32_t rule_id = get_symbol_id(state, src, name_len);
|
||||
const std::string name(src, name_len);
|
||||
|
||||
if (!(pos[0] == ':' && pos[1] == ':' && pos[2] == '=')) {
|
||||
throw std::runtime_error(std::string("expecting ::= at ") + pos);
|
||||
}
|
||||
pos = parse_space(pos + 3, true);
|
||||
|
||||
pos = parse_alternates(state, pos, name, rule_id, false);
|
||||
|
||||
if (*pos == '\r') {
|
||||
pos += pos[1] == '\n' ? 2 : 1;
|
||||
} else if (*pos == '\n') {
|
||||
pos++;
|
||||
} else if (*pos) {
|
||||
throw std::runtime_error(std::string("expecting newline or end at ") + pos);
|
||||
}
|
||||
return parse_space(pos, true);
|
||||
}
|
||||
|
||||
parse_state parse(const char * src) {
|
||||
try {
|
||||
parse_state state;
|
||||
const char * pos = parse_space(src, true);
|
||||
while (*pos) {
|
||||
pos = parse_rule(state, pos);
|
||||
}
|
||||
return state;
|
||||
} catch (const std::exception & err) {
|
||||
fprintf(stderr, "%s: error parsing grammar: %s\n", __func__, err.what());
|
||||
return parse_state();
|
||||
}
|
||||
}
|
||||
|
||||
void print_grammar_char(FILE * file, uint32_t c) {
|
||||
if (0x20 <= c && c <= 0x7f) {
|
||||
fprintf(file, "%c", static_cast<char>(c));
|
||||
} else {
|
||||
// cop out of encoding UTF-8
|
||||
fprintf(file, "<U+%04X>", c);
|
||||
}
|
||||
}
|
||||
|
||||
bool is_char_element(whisper_grammar_element elem) {
|
||||
switch (elem.type) {
|
||||
case WHISPER_GRETYPE_CHAR: return true;
|
||||
case WHISPER_GRETYPE_CHAR_NOT: return true;
|
||||
case WHISPER_GRETYPE_CHAR_ALT: return true;
|
||||
case WHISPER_GRETYPE_CHAR_RNG_UPPER: return true;
|
||||
default: return false;
|
||||
}
|
||||
}
|
||||
|
||||
void print_rule_binary(FILE * file, const std::vector<whisper_grammar_element> & rule) {
|
||||
for (auto elem : rule) {
|
||||
switch (elem.type) {
|
||||
case WHISPER_GRETYPE_END: fprintf(file, "END"); break;
|
||||
case WHISPER_GRETYPE_ALT: fprintf(file, "ALT"); break;
|
||||
case WHISPER_GRETYPE_RULE_REF: fprintf(file, "RULE_REF"); break;
|
||||
case WHISPER_GRETYPE_CHAR: fprintf(file, "CHAR"); break;
|
||||
case WHISPER_GRETYPE_CHAR_NOT: fprintf(file, "CHAR_NOT"); break;
|
||||
case WHISPER_GRETYPE_CHAR_RNG_UPPER: fprintf(file, "CHAR_RNG_UPPER"); break;
|
||||
case WHISPER_GRETYPE_CHAR_ALT: fprintf(file, "CHAR_ALT"); break;
|
||||
}
|
||||
switch (elem.type) {
|
||||
case WHISPER_GRETYPE_END:
|
||||
case WHISPER_GRETYPE_ALT:
|
||||
case WHISPER_GRETYPE_RULE_REF:
|
||||
fprintf(file, "(%u) ", elem.value);
|
||||
break;
|
||||
case WHISPER_GRETYPE_CHAR:
|
||||
case WHISPER_GRETYPE_CHAR_NOT:
|
||||
case WHISPER_GRETYPE_CHAR_RNG_UPPER:
|
||||
case WHISPER_GRETYPE_CHAR_ALT:
|
||||
fprintf(file, "(\"");
|
||||
print_grammar_char(file, elem.value);
|
||||
fprintf(file, "\") ");
|
||||
break;
|
||||
}
|
||||
}
|
||||
fprintf(file, "\n");
|
||||
}
|
||||
|
||||
void print_rule(
|
||||
FILE * file,
|
||||
uint32_t rule_id,
|
||||
const std::vector<whisper_grammar_element> & rule,
|
||||
const std::map<uint32_t, std::string> & symbol_id_names) {
|
||||
if (rule.empty() || rule.back().type != WHISPER_GRETYPE_END) {
|
||||
throw std::runtime_error(
|
||||
"malformed rule, does not end with WHISPER_GRETYPE_END: " + std::to_string(rule_id));
|
||||
}
|
||||
fprintf(file, "%s ::= ", symbol_id_names.at(rule_id).c_str());
|
||||
for (size_t i = 0, end = rule.size() - 1; i < end; i++) {
|
||||
whisper_grammar_element elem = rule[i];
|
||||
switch (elem.type) {
|
||||
case WHISPER_GRETYPE_END:
|
||||
throw std::runtime_error(
|
||||
"unexpected end of rule: " + std::to_string(rule_id) + "," +
|
||||
std::to_string(i));
|
||||
case WHISPER_GRETYPE_ALT:
|
||||
fprintf(file, "| ");
|
||||
break;
|
||||
case WHISPER_GRETYPE_RULE_REF:
|
||||
fprintf(file, "%s ", symbol_id_names.at(elem.value).c_str());
|
||||
break;
|
||||
case WHISPER_GRETYPE_CHAR:
|
||||
fprintf(file, "[");
|
||||
print_grammar_char(file, elem.value);
|
||||
break;
|
||||
case WHISPER_GRETYPE_CHAR_NOT:
|
||||
fprintf(file, "[^");
|
||||
print_grammar_char(file, elem.value);
|
||||
break;
|
||||
case WHISPER_GRETYPE_CHAR_RNG_UPPER:
|
||||
if (i == 0 || !is_char_element(rule[i - 1])) {
|
||||
throw std::runtime_error(
|
||||
"WHISPER_GRETYPE_CHAR_RNG_UPPER without preceding char: " +
|
||||
std::to_string(rule_id) + "," + std::to_string(i));
|
||||
}
|
||||
fprintf(file, "-");
|
||||
print_grammar_char(file, elem.value);
|
||||
break;
|
||||
case WHISPER_GRETYPE_CHAR_ALT:
|
||||
if (i == 0 || !is_char_element(rule[i - 1])) {
|
||||
throw std::runtime_error(
|
||||
"WHISPER_GRETYPE_CHAR_ALT without preceding char: " +
|
||||
std::to_string(rule_id) + "," + std::to_string(i));
|
||||
}
|
||||
print_grammar_char(file, elem.value);
|
||||
break;
|
||||
}
|
||||
if (is_char_element(elem)) {
|
||||
switch (rule[i + 1].type) {
|
||||
case WHISPER_GRETYPE_CHAR_ALT:
|
||||
case WHISPER_GRETYPE_CHAR_RNG_UPPER:
|
||||
break;
|
||||
default:
|
||||
fprintf(file, "] ");
|
||||
}
|
||||
}
|
||||
}
|
||||
fprintf(file, "\n");
|
||||
}
|
||||
|
||||
void print_grammar(FILE * file, const parse_state & state) {
|
||||
try {
|
||||
std::map<uint32_t, std::string> symbol_id_names;
|
||||
for (auto kv : state.symbol_ids) {
|
||||
symbol_id_names[kv.second] = kv.first;
|
||||
}
|
||||
for (size_t i = 0, end = state.rules.size(); i < end; i++) {
|
||||
// fprintf(file, "%zu: ", i);
|
||||
// print_rule_binary(file, state.rules[i]);
|
||||
print_rule(file, uint32_t(i), state.rules[i], symbol_id_names);
|
||||
// fprintf(file, "\n");
|
||||
}
|
||||
} catch (const std::exception & err) {
|
||||
fprintf(stderr, "\n%s: error printing grammar: %s\n", __func__, err.what());
|
||||
}
|
||||
}
|
||||
|
||||
std::vector<const whisper_grammar_element *> parse_state::c_rules() const{
|
||||
std::vector<const whisper_grammar_element *> ret;
|
||||
for (const auto & rule : rules) {
|
||||
ret.push_back(rule.data());
|
||||
}
|
||||
return ret;
|
||||
}
|
||||
}
|
@ -1,29 +0,0 @@
|
||||
// Implements a parser for an extended Backus-Naur form (BNF), producing the
|
||||
// binary context-free grammar format specified by whisper.h. Supports character
|
||||
// ranges, grouping, and repetition operators. As an example, a grammar for
|
||||
// arithmetic might look like:
|
||||
//
|
||||
// root ::= expr
|
||||
// expr ::= term ([-+*/] term)*
|
||||
// term ::= num | "(" space expr ")" space
|
||||
// num ::= [0-9]+ space
|
||||
// space ::= [ \t\n]*
|
||||
|
||||
#pragma once
|
||||
#include "whisper.h"
|
||||
#include <vector>
|
||||
#include <map>
|
||||
#include <cstdint>
|
||||
#include <string>
|
||||
|
||||
namespace grammar_parser {
|
||||
struct parse_state {
|
||||
std::map<std::string, uint32_t> symbol_ids;
|
||||
std::vector<std::vector<whisper_grammar_element>> rules;
|
||||
|
||||
std::vector<const whisper_grammar_element *> c_rules() const;
|
||||
};
|
||||
|
||||
parse_state parse(const char * src);
|
||||
void print_grammar(FILE * file, const parse_state & state);
|
||||
}
|
@ -22,7 +22,6 @@ var printTextarea = (function() {
|
||||
async function clearCache() {
|
||||
if (confirm('Are you sure you want to clear the cache?\nAll the models will be downloaded again.')) {
|
||||
indexedDB.deleteDatabase(dbName);
|
||||
location.reload();
|
||||
}
|
||||
}
|
||||
|
||||
|
@ -48,7 +48,7 @@ if [ -n "$3" ]; then
|
||||
fi
|
||||
|
||||
# Whisper models
|
||||
models=( "tiny.en" "tiny" "base.en" "base" "small.en" "small" "medium.en" "medium" "large-v1" "large-v2" "large-v3" )
|
||||
models=( "tiny.en" "tiny" "base.en" "base" "small.en" "small" "medium.en" "medium" "large-v1" "large-v2" "large" )
|
||||
|
||||
# list available models
|
||||
function list_models {
|
||||
|
@ -17,37 +17,28 @@ options:
|
||||
-d N, --duration N [0 ] duration of audio to process in milliseconds
|
||||
-mc N, --max-context N [-1 ] maximum number of text context tokens to store
|
||||
-ml N, --max-len N [0 ] maximum segment length in characters
|
||||
-sow, --split-on-word [false ] split on word rather than on token
|
||||
-bo N, --best-of N [5 ] number of best candidates to keep
|
||||
-bs N, --beam-size N [5 ] beam size for beam search
|
||||
-bs N, --beam-size N [-1 ] beam size for beam search
|
||||
-wt N, --word-thold N [0.01 ] word timestamp probability threshold
|
||||
-et N, --entropy-thold N [2.40 ] entropy threshold for decoder fail
|
||||
-lpt N, --logprob-thold N [-1.00 ] log probability threshold for decoder fail
|
||||
-debug, --debug-mode [false ] enable debug mode (eg. dump log_mel)
|
||||
-su, --speed-up [false ] speed up audio by x2 (reduced accuracy)
|
||||
-tr, --translate [false ] translate from source language to english
|
||||
-di, --diarize [false ] stereo audio diarization
|
||||
-tdrz, --tinydiarize [false ] enable tinydiarize (requires a tdrz model)
|
||||
-nf, --no-fallback [false ] do not use temperature fallback while decoding
|
||||
-otxt, --output-txt [false ] output result in a text file
|
||||
-ovtt, --output-vtt [false ] output result in a vtt file
|
||||
-osrt, --output-srt [false ] output result in a srt file
|
||||
-olrc, --output-lrc [false ] output result in a lrc file
|
||||
-owts, --output-words [false ] output script for generating karaoke video
|
||||
-fp, --font-path [/System/Library/Fonts/Supplemental/Courier New Bold.ttf] path to a monospace font for karaoke video
|
||||
-ocsv, --output-csv [false ] output result in a CSV file
|
||||
-oj, --output-json [false ] output result in a JSON file
|
||||
-ojf, --output-json-full [false ] include more information in the JSON file
|
||||
-of FNAME, --output-file FNAME [ ] output file path (without file extension)
|
||||
-ps, --print-special [false ] print special tokens
|
||||
-pc, --print-colors [false ] print colors
|
||||
-pp, --print-progress [false ] print progress
|
||||
-nt, --no-timestamps [false ] do not print timestamps
|
||||
-nt, --no-timestamps [true ] do not print timestamps
|
||||
-l LANG, --language LANG [en ] spoken language ('auto' for auto-detect)
|
||||
-dl, --detect-language [false ] exit after automatically detecting language
|
||||
--prompt PROMPT [ ] initial prompt
|
||||
-m FNAME, --model FNAME [models/ggml-base.en.bin] model path
|
||||
-f FNAME, --file FNAME [ ] input WAV file path
|
||||
-oved D, --ov-e-device DNAME [CPU ] the OpenVINO device used for encode inference
|
||||
-ls, --log-score [false ] log best decoder scores of tokens
|
||||
-ng, --no-gpu [false ] disable GPU
|
||||
```
|
||||
|
@ -62,8 +62,8 @@ struct whisper_params {
|
||||
int32_t progress_step = 5;
|
||||
int32_t max_context = -1;
|
||||
int32_t max_len = 0;
|
||||
int32_t best_of = whisper_full_default_params(WHISPER_SAMPLING_GREEDY).greedy.best_of;
|
||||
int32_t beam_size = whisper_full_default_params(WHISPER_SAMPLING_BEAM_SEARCH).beam_search.beam_size;
|
||||
int32_t best_of = 2;
|
||||
int32_t beam_size = -1;
|
||||
|
||||
float word_thold = 0.01f;
|
||||
float entropy_thold = 2.40f;
|
||||
@ -165,8 +165,8 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
|
||||
else if (arg == "-m" || arg == "--model") { params.model = argv[++i]; }
|
||||
else if (arg == "-f" || arg == "--file") { params.fname_inp.emplace_back(argv[++i]); }
|
||||
else if (arg == "-oved" || arg == "--ov-e-device") { params.openvino_encode_device = argv[++i]; }
|
||||
else if (arg == "-ls" || arg == "--log-score") { params.log_score = true; }
|
||||
else if (arg == "-ng" || arg == "--no-gpu") { params.use_gpu = false; }
|
||||
else if (arg == "-ls" || arg == "--log-score") { params.log_score = true; }
|
||||
else if (arg == "-ng" || arg == "--no-gpu") { params.use_gpu = false; }
|
||||
else {
|
||||
fprintf(stderr, "error: unknown argument: %s\n", arg.c_str());
|
||||
whisper_print_usage(argc, argv, params);
|
||||
@ -925,9 +925,9 @@ int main(int argc, char ** argv) {
|
||||
if (params.detect_language) {
|
||||
params.language = "auto";
|
||||
}
|
||||
fprintf(stderr, "%s: processing '%s' (%d samples, %.1f sec), %d threads, %d processors, %d beams + best of %d, lang = %s, task = %s, %stimestamps = %d ...\n",
|
||||
fprintf(stderr, "%s: processing '%s' (%d samples, %.1f sec), %d threads, %d processors, lang = %s, task = %s, %stimestamps = %d ...\n",
|
||||
__func__, fname_inp.c_str(), int(pcmf32.size()), float(pcmf32.size())/WHISPER_SAMPLE_RATE,
|
||||
params.n_threads, params.n_processors, params.beam_size, params.best_of,
|
||||
params.n_threads, params.n_processors,
|
||||
params.language.c_str(),
|
||||
params.translate ? "translate" : "transcribe",
|
||||
params.tinydiarize ? "tdrz = 1, " : "",
|
||||
|
@ -1,12 +0,0 @@
|
||||
set(TARGET server)
|
||||
add_executable(${TARGET} server.cpp httplib.h json.hpp)
|
||||
|
||||
include(DefaultTargetOptions)
|
||||
|
||||
target_link_libraries(${TARGET} PRIVATE common whisper ${CMAKE_THREAD_LIBS_INIT})
|
||||
|
||||
# Check if the compiler is MinGW
|
||||
if(MINGW)
|
||||
# Link the necessary libraries for SSL and Winsock
|
||||
target_link_libraries(${TARGET} PRIVATE -lcrypt32 -lssl -lcrypto -lws2_32)
|
||||
endif()
|
@ -1,68 +0,0 @@
|
||||
# whisper.cpp http server
|
||||
|
||||
Simple http server. WAV Files are passed to the inference model via http requests.
|
||||
|
||||
https://github.com/ggerganov/whisper.cpp/assets/1991296/e983ee53-8741-4eb5-9048-afe5e4594b8f
|
||||
|
||||
## Usage
|
||||
|
||||
```
|
||||
./server -h
|
||||
|
||||
usage: ./bin/server [options]
|
||||
|
||||
options:
|
||||
-h, --help [default] show this help message and exit
|
||||
-t N, --threads N [4 ] number of threads to use during computation
|
||||
-p N, --processors N [1 ] number of processors to use during computation
|
||||
-ot N, --offset-t N [0 ] time offset in milliseconds
|
||||
-on N, --offset-n N [0 ] segment index offset
|
||||
-d N, --duration N [0 ] duration of audio to process in milliseconds
|
||||
-mc N, --max-context N [-1 ] maximum number of text context tokens to store
|
||||
-ml N, --max-len N [0 ] maximum segment length in characters
|
||||
-sow, --split-on-word [false ] split on word rather than on token
|
||||
-bo N, --best-of N [2 ] number of best candidates to keep
|
||||
-bs N, --beam-size N [-1 ] beam size for beam search
|
||||
-wt N, --word-thold N [0.01 ] word timestamp probability threshold
|
||||
-et N, --entropy-thold N [2.40 ] entropy threshold for decoder fail
|
||||
-lpt N, --logprob-thold N [-1.00 ] log probability threshold for decoder fail
|
||||
-debug, --debug-mode [false ] enable debug mode (eg. dump log_mel)
|
||||
-tr, --translate [false ] translate from source language to english
|
||||
-di, --diarize [false ] stereo audio diarization
|
||||
-tdrz, --tinydiarize [false ] enable tinydiarize (requires a tdrz model)
|
||||
-nf, --no-fallback [false ] do not use temperature fallback while decoding
|
||||
-ps, --print-special [false ] print special tokens
|
||||
-pc, --print-colors [false ] print colors
|
||||
-pr, --print-realtime [false ] print output in realtime
|
||||
-pp, --print-progress [false ] print progress
|
||||
-nt, --no-timestamps [false ] do not print timestamps
|
||||
-l LANG, --language LANG [en ] spoken language ('auto' for auto-detect)
|
||||
-dl, --detect-language [false ] exit after automatically detecting language
|
||||
--prompt PROMPT [ ] initial prompt
|
||||
-m FNAME, --model FNAME [models/ggml-base.en.bin] model path
|
||||
-oved D, --ov-e-device DNAME [CPU ] the OpenVINO device used for encode inference
|
||||
--host HOST, [127.0.0.1] Hostname/ip-adress for the server
|
||||
--port PORT, [8080 ] Port number for the server
|
||||
--convert, [false ] Convert audio to WAV, requires ffmpeg on the server
|
||||
```
|
||||
|
||||
> [!WARNING]
|
||||
> **Do not run the server example with administrative privileges and ensure it's operated in a sandbox environment, especially since it involves risky operations like accepting user file uploads and using ffmpeg for format conversions. Always validate and sanitize inputs to guard against potential security threats.**
|
||||
|
||||
## request examples
|
||||
|
||||
**/inference**
|
||||
```
|
||||
curl 127.0.0.1:8080/inference \
|
||||
-H "Content-Type: multipart/form-data" \
|
||||
-F file="@<file-path>" \
|
||||
-F temperature="0.2" \
|
||||
-F response-format="json"
|
||||
```
|
||||
|
||||
**/load**
|
||||
```
|
||||
curl 127.0.0.1:8080/load \
|
||||
-H "Content-Type: multipart/form-data" \
|
||||
-F model="<path-to-model-file>"
|
||||
```
|
24596
examples/server/json.hpp
@ -1,811 +0,0 @@
|
||||
#include "common.h"
|
||||
|
||||
#include "whisper.h"
|
||||
#include "httplib.h"
|
||||
#include "json.hpp"
|
||||
|
||||
#include <cmath>
|
||||
#include <fstream>
|
||||
#include <cstdio>
|
||||
#include <string>
|
||||
#include <thread>
|
||||
#include <vector>
|
||||
#include <cstring>
|
||||
#include <sstream>
|
||||
|
||||
#if defined(_MSC_VER)
|
||||
#pragma warning(disable: 4244 4267) // possible loss of data
|
||||
#endif
|
||||
|
||||
using namespace httplib;
|
||||
using json = nlohmann::json;
|
||||
|
||||
namespace {
|
||||
|
||||
// Terminal color map. 10 colors grouped in ranges [0.0, 0.1, ..., 0.9]
|
||||
// Lowest is red, middle is yellow, highest is green.
|
||||
const std::vector<std::string> k_colors = {
|
||||
"\033[38;5;196m", "\033[38;5;202m", "\033[38;5;208m", "\033[38;5;214m", "\033[38;5;220m",
|
||||
"\033[38;5;226m", "\033[38;5;190m", "\033[38;5;154m", "\033[38;5;118m", "\033[38;5;82m",
|
||||
};
|
||||
|
||||
// output formats
|
||||
const std::string json_format = "json";
|
||||
const std::string text_format = "text";
|
||||
const std::string srt_format = "srt";
|
||||
const std::string vjson_format = "verbose_json";
|
||||
const std::string vtt_format = "vtt";
|
||||
|
||||
struct server_params
|
||||
{
|
||||
std::string hostname = "127.0.0.1";
|
||||
std::string public_path = "examples/server/public";
|
||||
|
||||
int32_t port = 8080;
|
||||
int32_t read_timeout = 600;
|
||||
int32_t write_timeout = 600;
|
||||
|
||||
bool ffmpeg_converter = false;
|
||||
};
|
||||
|
||||
struct whisper_params {
|
||||
int32_t n_threads = std::min(4, (int32_t) std::thread::hardware_concurrency());
|
||||
int32_t n_processors = 1;
|
||||
int32_t offset_t_ms = 0;
|
||||
int32_t offset_n = 0;
|
||||
int32_t duration_ms = 0;
|
||||
int32_t progress_step = 5;
|
||||
int32_t max_context = -1;
|
||||
int32_t max_len = 0;
|
||||
int32_t best_of = 2;
|
||||
int32_t beam_size = -1;
|
||||
|
||||
float word_thold = 0.01f;
|
||||
float entropy_thold = 2.40f;
|
||||
float logprob_thold = -1.00f;
|
||||
float userdef_temp = 0.20f;
|
||||
|
||||
bool speed_up = false;
|
||||
bool debug_mode = false;
|
||||
bool translate = false;
|
||||
bool detect_language = false;
|
||||
bool diarize = false;
|
||||
bool tinydiarize = false;
|
||||
bool split_on_word = false;
|
||||
bool no_fallback = false;
|
||||
bool print_special = false;
|
||||
bool print_colors = false;
|
||||
bool print_realtime = false;
|
||||
bool print_progress = false;
|
||||
bool no_timestamps = false;
|
||||
bool use_gpu = true;
|
||||
|
||||
std::string language = "en";
|
||||
std::string prompt = "";
|
||||
std::string font_path = "/System/Library/Fonts/Supplemental/Courier New Bold.ttf";
|
||||
std::string model = "models/ggml-base.en.bin";
|
||||
|
||||
std::string response_format = json_format;
|
||||
|
||||
// [TDRZ] speaker turn string
|
||||
std::string tdrz_speaker_turn = " [SPEAKER_TURN]"; // TODO: set from command line
|
||||
|
||||
std::string openvino_encode_device = "CPU";
|
||||
};
|
||||
|
||||
// 500 -> 00:05.000
|
||||
// 6000 -> 01:00.000
|
||||
std::string to_timestamp(int64_t t, bool comma = false) {
|
||||
int64_t msec = t * 10;
|
||||
int64_t hr = msec / (1000 * 60 * 60);
|
||||
msec = msec - hr * (1000 * 60 * 60);
|
||||
int64_t min = msec / (1000 * 60);
|
||||
msec = msec - min * (1000 * 60);
|
||||
int64_t sec = msec / 1000;
|
||||
msec = msec - sec * 1000;
|
||||
|
||||
char buf[32];
|
||||
snprintf(buf, sizeof(buf), "%02d:%02d:%02d%s%03d", (int) hr, (int) min, (int) sec, comma ? "," : ".", (int) msec);
|
||||
|
||||
return std::string(buf);
|
||||
}
|
||||
|
||||
int timestamp_to_sample(int64_t t, int n_samples) {
|
||||
return std::max(0, std::min((int) n_samples - 1, (int) ((t*WHISPER_SAMPLE_RATE)/100)));
|
||||
}
|
||||
|
||||
bool is_file_exist(const char *fileName)
|
||||
{
|
||||
std::ifstream infile(fileName);
|
||||
return infile.good();
|
||||
}
|
||||
|
||||
void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & params,
|
||||
const server_params& sparams) {
|
||||
fprintf(stderr, "\n");
|
||||
fprintf(stderr, "usage: %s [options] \n", argv[0]);
|
||||
fprintf(stderr, "\n");
|
||||
fprintf(stderr, "options:\n");
|
||||
fprintf(stderr, " -h, --help [default] show this help message and exit\n");
|
||||
fprintf(stderr, " -t N, --threads N [%-7d] number of threads to use during computation\n", params.n_threads);
|
||||
fprintf(stderr, " -p N, --processors N [%-7d] number of processors to use during computation\n", params.n_processors);
|
||||
fprintf(stderr, " -ot N, --offset-t N [%-7d] time offset in milliseconds\n", params.offset_t_ms);
|
||||
fprintf(stderr, " -on N, --offset-n N [%-7d] segment index offset\n", params.offset_n);
|
||||
fprintf(stderr, " -d N, --duration N [%-7d] duration of audio to process in milliseconds\n", params.duration_ms);
|
||||
fprintf(stderr, " -mc N, --max-context N [%-7d] maximum number of text context tokens to store\n", params.max_context);
|
||||
fprintf(stderr, " -ml N, --max-len N [%-7d] maximum segment length in characters\n", params.max_len);
|
||||
fprintf(stderr, " -sow, --split-on-word [%-7s] split on word rather than on token\n", params.split_on_word ? "true" : "false");
|
||||
fprintf(stderr, " -bo N, --best-of N [%-7d] number of best candidates to keep\n", params.best_of);
|
||||
fprintf(stderr, " -bs N, --beam-size N [%-7d] beam size for beam search\n", params.beam_size);
|
||||
fprintf(stderr, " -wt N, --word-thold N [%-7.2f] word timestamp probability threshold\n", params.word_thold);
|
||||
fprintf(stderr, " -et N, --entropy-thold N [%-7.2f] entropy threshold for decoder fail\n", params.entropy_thold);
|
||||
fprintf(stderr, " -lpt N, --logprob-thold N [%-7.2f] log probability threshold for decoder fail\n", params.logprob_thold);
|
||||
// fprintf(stderr, " -su, --speed-up [%-7s] speed up audio by x2 (reduced accuracy)\n", params.speed_up ? "true" : "false");
|
||||
fprintf(stderr, " -debug, --debug-mode [%-7s] enable debug mode (eg. dump log_mel)\n", params.debug_mode ? "true" : "false");
|
||||
fprintf(stderr, " -tr, --translate [%-7s] translate from source language to english\n", params.translate ? "true" : "false");
|
||||
fprintf(stderr, " -di, --diarize [%-7s] stereo audio diarization\n", params.diarize ? "true" : "false");
|
||||
fprintf(stderr, " -tdrz, --tinydiarize [%-7s] enable tinydiarize (requires a tdrz model)\n", params.tinydiarize ? "true" : "false");
|
||||
fprintf(stderr, " -nf, --no-fallback [%-7s] do not use temperature fallback while decoding\n", params.no_fallback ? "true" : "false");
|
||||
fprintf(stderr, " -ps, --print-special [%-7s] print special tokens\n", params.print_special ? "true" : "false");
|
||||
fprintf(stderr, " -pc, --print-colors [%-7s] print colors\n", params.print_colors ? "true" : "false");
|
||||
fprintf(stderr, " -pr, --print-realtime [%-7s] print output in realtime\n", params.print_realtime ? "true" : "false");
|
||||
fprintf(stderr, " -pp, --print-progress [%-7s] print progress\n", params.print_progress ? "true" : "false");
|
||||
fprintf(stderr, " -nt, --no-timestamps [%-7s] do not print timestamps\n", params.no_timestamps ? "true" : "false");
|
||||
fprintf(stderr, " -l LANG, --language LANG [%-7s] spoken language ('auto' for auto-detect)\n", params.language.c_str());
|
||||
fprintf(stderr, " -dl, --detect-language [%-7s] exit after automatically detecting language\n", params.detect_language ? "true" : "false");
|
||||
fprintf(stderr, " --prompt PROMPT [%-7s] initial prompt\n", params.prompt.c_str());
|
||||
fprintf(stderr, " -m FNAME, --model FNAME [%-7s] model path\n", params.model.c_str());
|
||||
fprintf(stderr, " -oved D, --ov-e-device DNAME [%-7s] the OpenVINO device used for encode inference\n", params.openvino_encode_device.c_str());
|
||||
// server params
|
||||
fprintf(stderr, " --host HOST, [%-7s] Hostname/ip-adress for the server\n", sparams.hostname.c_str());
|
||||
fprintf(stderr, " --port PORT, [%-7d] Port number for the server\n", sparams.port);
|
||||
fprintf(stderr, " --public PATH, [%-7s] Path to the public folder\n", sparams.public_path.c_str());
|
||||
fprintf(stderr, " --convert, [%-7s] Convert audio to WAV, requires ffmpeg on the server", sparams.ffmpeg_converter ? "true" : "false");
|
||||
fprintf(stderr, "\n");
|
||||
}
|
||||
|
||||
bool whisper_params_parse(int argc, char ** argv, whisper_params & params, server_params & sparams) {
|
||||
for (int i = 1; i < argc; i++) {
|
||||
std::string arg = argv[i];
|
||||
|
||||
if (arg == "-h" || arg == "--help") {
|
||||
whisper_print_usage(argc, argv, params, sparams);
|
||||
exit(0);
|
||||
}
|
||||
else if (arg == "-t" || arg == "--threads") { params.n_threads = std::stoi(argv[++i]); }
|
||||
else if (arg == "-p" || arg == "--processors") { params.n_processors = std::stoi(argv[++i]); }
|
||||
else if (arg == "-ot" || arg == "--offset-t") { params.offset_t_ms = std::stoi(argv[++i]); }
|
||||
else if (arg == "-on" || arg == "--offset-n") { params.offset_n = std::stoi(argv[++i]); }
|
||||
else if (arg == "-d" || arg == "--duration") { params.duration_ms = std::stoi(argv[++i]); }
|
||||
else if (arg == "-mc" || arg == "--max-context") { params.max_context = std::stoi(argv[++i]); }
|
||||
else if (arg == "-ml" || arg == "--max-len") { params.max_len = std::stoi(argv[++i]); }
|
||||
else if (arg == "-bo" || arg == "--best-of") { params.best_of = std::stoi(argv[++i]); }
|
||||
else if (arg == "-bs" || arg == "--beam-size") { params.beam_size = std::stoi(argv[++i]); }
|
||||
else if (arg == "-wt" || arg == "--word-thold") { params.word_thold = std::stof(argv[++i]); }
|
||||
else if (arg == "-et" || arg == "--entropy-thold") { params.entropy_thold = std::stof(argv[++i]); }
|
||||
else if (arg == "-lpt" || arg == "--logprob-thold") { params.logprob_thold = std::stof(argv[++i]); }
|
||||
// else if (arg == "-su" || arg == "--speed-up") { params.speed_up = true; }
|
||||
else if (arg == "-debug"|| arg == "--debug-mode") { params.debug_mode = true; }
|
||||
else if (arg == "-tr" || arg == "--translate") { params.translate = true; }
|
||||
else if (arg == "-di" || arg == "--diarize") { params.diarize = true; }
|
||||
else if (arg == "-tdrz" || arg == "--tinydiarize") { params.tinydiarize = true; }
|
||||
else if (arg == "-sow" || arg == "--split-on-word") { params.split_on_word = true; }
|
||||
else if (arg == "-nf" || arg == "--no-fallback") { params.no_fallback = true; }
|
||||
else if (arg == "-fp" || arg == "--font-path") { params.font_path = argv[++i]; }
|
||||
else if (arg == "-ps" || arg == "--print-special") { params.print_special = true; }
|
||||
else if (arg == "-pc" || arg == "--print-colors") { params.print_colors = true; }
|
||||
else if (arg == "-pr" || arg == "--print-realtime") { params.print_realtime = true; }
|
||||
else if (arg == "-pp" || arg == "--print-progress") { params.print_progress = true; }
|
||||
else if (arg == "-nt" || arg == "--no-timestamps") { params.no_timestamps = true; }
|
||||
else if (arg == "-l" || arg == "--language") { params.language = argv[++i]; }
|
||||
else if (arg == "-dl" || arg == "--detect-language") { params.detect_language = true; }
|
||||
else if ( arg == "--prompt") { params.prompt = argv[++i]; }
|
||||
else if (arg == "-m" || arg == "--model") { params.model = argv[++i]; }
|
||||
else if (arg == "-oved" || arg == "--ov-e-device") { params.openvino_encode_device = argv[++i]; }
|
||||
else if (arg == "-ng" || arg == "--no-gpu") { params.use_gpu = false; }
|
||||
// server params
|
||||
else if ( arg == "--port") { sparams.port = std::stoi(argv[++i]); }
|
||||
else if ( arg == "--host") { sparams.hostname = argv[++i]; }
|
||||
else if ( arg == "--public") { sparams.public_path = argv[++i]; }
|
||||
else if ( arg == "--convert") { sparams.ffmpeg_converter = true; }
|
||||
else {
|
||||
fprintf(stderr, "error: unknown argument: %s\n", arg.c_str());
|
||||
whisper_print_usage(argc, argv, params, sparams);
|
||||
exit(0);
|
||||
}
|
||||
}
|
||||
|
||||
return true;
|
||||
}
|
||||
|
||||
struct whisper_print_user_data {
|
||||
const whisper_params * params;
|
||||
|
||||
const std::vector<std::vector<float>> * pcmf32s;
|
||||
int progress_prev;
|
||||
};
|
||||
|
||||
void check_ffmpeg_availibility() {
|
||||
int result = system("ffmpeg -version");
|
||||
|
||||
if (result == 0) {
|
||||
std::cout << "ffmpeg is available." << std::endl;
|
||||
} else {
|
||||
// ffmpeg is not available
|
||||
std::cout << "ffmpeg is not found. Please ensure that ffmpeg is installed ";
|
||||
std::cout << "and that its executable is included in your system's PATH. ";
|
||||
exit(0);
|
||||
}
|
||||
}
|
||||
|
||||
bool convert_to_wav(const std::string & temp_filename, std::string & error_resp) {
|
||||
std::ostringstream cmd_stream;
|
||||
std::string converted_filename_temp = temp_filename + "_temp.wav";
|
||||
cmd_stream << "ffmpeg -i \"" << temp_filename << "\" -ar 16000 -ac 1 -c:a pcm_s16le \"" << converted_filename_temp << "\" 2>&1";
|
||||
std::string cmd = cmd_stream.str();
|
||||
|
||||
int status = std::system(cmd.c_str());
|
||||
if (status != 0) {
|
||||
error_resp = "{\"error\":\"FFmpeg conversion failed.\"}";
|
||||
return false;
|
||||
}
|
||||
|
||||
// Remove the original file
|
||||
if (remove(temp_filename.c_str()) != 0) {
|
||||
error_resp = "{\"error\":\"Failed to remove the original file.\"}";
|
||||
return false;
|
||||
}
|
||||
|
||||
// Rename the temporary file to match the original filename
|
||||
if (rename(converted_filename_temp.c_str(), temp_filename.c_str()) != 0) {
|
||||
error_resp = "{\"error\":\"Failed to rename the temporary file.\"}";
|
||||
return false;
|
||||
}
|
||||
return true;
|
||||
}
|
||||
|
||||
std::string estimate_diarization_speaker(std::vector<std::vector<float>> pcmf32s, int64_t t0, int64_t t1, bool id_only = false) {
|
||||
std::string speaker = "";
|
||||
const int64_t n_samples = pcmf32s[0].size();
|
||||
|
||||
const int64_t is0 = timestamp_to_sample(t0, n_samples);
|
||||
const int64_t is1 = timestamp_to_sample(t1, n_samples);
|
||||
|
||||
double energy0 = 0.0f;
|
||||
double energy1 = 0.0f;
|
||||
|
||||
for (int64_t j = is0; j < is1; j++) {
|
||||
energy0 += fabs(pcmf32s[0][j]);
|
||||
energy1 += fabs(pcmf32s[1][j]);
|
||||
}
|
||||
|
||||
if (energy0 > 1.1*energy1) {
|
||||
speaker = "0";
|
||||
} else if (energy1 > 1.1*energy0) {
|
||||
speaker = "1";
|
||||
} else {
|
||||
speaker = "?";
|
||||
}
|
||||
|
||||
//printf("is0 = %lld, is1 = %lld, energy0 = %f, energy1 = %f, speaker = %s\n", is0, is1, energy0, energy1, speaker.c_str());
|
||||
|
||||
if (!id_only) {
|
||||
speaker.insert(0, "(speaker ");
|
||||
speaker.append(")");
|
||||
}
|
||||
|
||||
return speaker;
|
||||
}
|
||||
|
||||
void whisper_print_progress_callback(struct whisper_context * /*ctx*/, struct whisper_state * /*state*/, int progress, void * user_data) {
|
||||
int progress_step = ((whisper_print_user_data *) user_data)->params->progress_step;
|
||||
int * progress_prev = &(((whisper_print_user_data *) user_data)->progress_prev);
|
||||
if (progress >= *progress_prev + progress_step) {
|
||||
*progress_prev += progress_step;
|
||||
fprintf(stderr, "%s: progress = %3d%%\n", __func__, progress);
|
||||
}
|
||||
}
|
||||
|
||||
void whisper_print_segment_callback(struct whisper_context * ctx, struct whisper_state * /*state*/, int n_new, void * user_data) {
|
||||
const auto & params = *((whisper_print_user_data *) user_data)->params;
|
||||
const auto & pcmf32s = *((whisper_print_user_data *) user_data)->pcmf32s;
|
||||
|
||||
const int n_segments = whisper_full_n_segments(ctx);
|
||||
|
||||
std::string speaker = "";
|
||||
|
||||
int64_t t0 = 0;
|
||||
int64_t t1 = 0;
|
||||
|
||||
// print the last n_new segments
|
||||
const int s0 = n_segments - n_new;
|
||||
|
||||
if (s0 == 0) {
|
||||
printf("\n");
|
||||
}
|
||||
|
||||
for (int i = s0; i < n_segments; i++) {
|
||||
if (!params.no_timestamps || params.diarize) {
|
||||
t0 = whisper_full_get_segment_t0(ctx, i);
|
||||
t1 = whisper_full_get_segment_t1(ctx, i);
|
||||
}
|
||||
|
||||
if (!params.no_timestamps) {
|
||||
printf("[%s --> %s] ", to_timestamp(t0).c_str(), to_timestamp(t1).c_str());
|
||||
}
|
||||
|
||||
if (params.diarize && pcmf32s.size() == 2) {
|
||||
speaker = estimate_diarization_speaker(pcmf32s, t0, t1);
|
||||
}
|
||||
|
||||
if (params.print_colors) {
|
||||
for (int j = 0; j < whisper_full_n_tokens(ctx, i); ++j) {
|
||||
if (params.print_special == false) {
|
||||
const whisper_token id = whisper_full_get_token_id(ctx, i, j);
|
||||
if (id >= whisper_token_eot(ctx)) {
|
||||
continue;
|
||||
}
|
||||
}
|
||||
|
||||
const char * text = whisper_full_get_token_text(ctx, i, j);
|
||||
const float p = whisper_full_get_token_p (ctx, i, j);
|
||||
|
||||
const int col = std::max(0, std::min((int) k_colors.size() - 1, (int) (std::pow(p, 3)*float(k_colors.size()))));
|
||||
|
||||
printf("%s%s%s%s", speaker.c_str(), k_colors[col].c_str(), text, "\033[0m");
|
||||
}
|
||||
} else {
|
||||
const char * text = whisper_full_get_segment_text(ctx, i);
|
||||
|
||||
printf("%s%s", speaker.c_str(), text);
|
||||
}
|
||||
|
||||
if (params.tinydiarize) {
|
||||
if (whisper_full_get_segment_speaker_turn_next(ctx, i)) {
|
||||
printf("%s", params.tdrz_speaker_turn.c_str());
|
||||
}
|
||||
}
|
||||
|
||||
// with timestamps or speakers: each segment on new line
|
||||
if (!params.no_timestamps || params.diarize) {
|
||||
printf("\n");
|
||||
}
|
||||
fflush(stdout);
|
||||
}
|
||||
}
|
||||
|
||||
std::string output_str(struct whisper_context * ctx, const whisper_params & params, std::vector<std::vector<float>> pcmf32s) {
|
||||
std::stringstream result;
|
||||
const int n_segments = whisper_full_n_segments(ctx);
|
||||
for (int i = 0; i < n_segments; ++i) {
|
||||
const char * text = whisper_full_get_segment_text(ctx, i);
|
||||
std::string speaker = "";
|
||||
|
||||
if (params.diarize && pcmf32s.size() == 2)
|
||||
{
|
||||
const int64_t t0 = whisper_full_get_segment_t0(ctx, i);
|
||||
const int64_t t1 = whisper_full_get_segment_t1(ctx, i);
|
||||
speaker = estimate_diarization_speaker(pcmf32s, t0, t1);
|
||||
}
|
||||
|
||||
result << speaker << text << "\n";
|
||||
}
|
||||
return result.str();
|
||||
}
|
||||
|
||||
void get_req_parameters(const Request & req, whisper_params & params)
|
||||
{
|
||||
// user model configu.has_fileion
|
||||
if (req.has_file("offset-t"))
|
||||
{
|
||||
params.offset_t_ms = std::stoi(req.get_file_value("offset-t").content);
|
||||
}
|
||||
if (req.has_file("offset-n"))
|
||||
{
|
||||
params.offset_n = std::stoi(req.get_file_value("offset-n").content);
|
||||
}
|
||||
if (req.has_file("duration"))
|
||||
{
|
||||
params.duration_ms = std::stoi(req.get_file_value("duration").content);
|
||||
}
|
||||
if (req.has_file("max-context"))
|
||||
{
|
||||
params.max_context = std::stoi(req.get_file_value("max-context").content);
|
||||
}
|
||||
if (req.has_file("prompt"))
|
||||
{
|
||||
params.prompt = req.get_file_value("prompt").content;
|
||||
}
|
||||
if (req.has_file("response-format"))
|
||||
{
|
||||
params.response_format = req.get_file_value("response-format").content;
|
||||
}
|
||||
if (req.has_file("temperature"))
|
||||
{
|
||||
params.userdef_temp = std::stof(req.get_file_value("temperature").content);
|
||||
}
|
||||
}
|
||||
|
||||
} // namespace
|
||||
|
||||
int main(int argc, char ** argv) {
|
||||
whisper_params params;
|
||||
server_params sparams;
|
||||
|
||||
std::mutex whisper_mutex;
|
||||
|
||||
if (whisper_params_parse(argc, argv, params, sparams) == false) {
|
||||
whisper_print_usage(argc, argv, params, sparams);
|
||||
return 1;
|
||||
}
|
||||
|
||||
if (params.language != "auto" && whisper_lang_id(params.language.c_str()) == -1) {
|
||||
fprintf(stderr, "error: unknown language '%s'\n", params.language.c_str());
|
||||
whisper_print_usage(argc, argv, params, sparams);
|
||||
exit(0);
|
||||
}
|
||||
|
||||
if (params.diarize && params.tinydiarize) {
|
||||
fprintf(stderr, "error: cannot use both --diarize and --tinydiarize\n");
|
||||
whisper_print_usage(argc, argv, params, sparams);
|
||||
exit(0);
|
||||
}
|
||||
|
||||
if (sparams.ffmpeg_converter) {
|
||||
check_ffmpeg_availibility();
|
||||
}
|
||||
// whisper init
|
||||
struct whisper_context_params cparams;
|
||||
cparams.use_gpu = params.use_gpu;
|
||||
|
||||
struct whisper_context * ctx = whisper_init_from_file_with_params(params.model.c_str(), cparams);
|
||||
|
||||
if (ctx == nullptr) {
|
||||
fprintf(stderr, "error: failed to initialize whisper context\n");
|
||||
return 3;
|
||||
}
|
||||
|
||||
// initialize openvino encoder. this has no effect on whisper.cpp builds that don't have OpenVINO configured
|
||||
whisper_ctx_init_openvino_encoder(ctx, nullptr, params.openvino_encode_device.c_str(), nullptr);
|
||||
|
||||
Server svr;
|
||||
svr.set_default_headers({{"Server", "whisper.cpp"},
|
||||
{"Access-Control-Allow-Origin", "*"},
|
||||
{"Access-Control-Allow-Headers", "content-type"}});
|
||||
|
||||
std::string const default_content = "<html>hello</html>";
|
||||
|
||||
// this is only called if no index.html is found in the public --path
|
||||
svr.Get("/", [&default_content](const Request &, Response &res){
|
||||
res.set_content(default_content, "text/html");
|
||||
return false;
|
||||
});
|
||||
|
||||
svr.Post("/inference", [&](const Request &req, Response &res){
|
||||
// acquire whisper model mutex lock
|
||||
whisper_mutex.lock();
|
||||
|
||||
// first check user requested fields of the request
|
||||
if (!req.has_file("file"))
|
||||
{
|
||||
fprintf(stderr, "error: no 'file' field in the request\n");
|
||||
const std::string error_resp = "{\"error\":\"no 'file' field in the request\"}";
|
||||
res.set_content(error_resp, "application/json");
|
||||
whisper_mutex.unlock();
|
||||
return;
|
||||
}
|
||||
auto audio_file = req.get_file_value("file");
|
||||
|
||||
// check non-required fields
|
||||
get_req_parameters(req, params);
|
||||
|
||||
std::string filename{audio_file.filename};
|
||||
printf("Received request: %s\n", filename.c_str());
|
||||
|
||||
// audio arrays
|
||||
std::vector<float> pcmf32; // mono-channel F32 PCM
|
||||
std::vector<std::vector<float>> pcmf32s; // stereo-channel F32 PCM
|
||||
|
||||
// write to temporary file
|
||||
const std::string temp_filename = "whisper_server_temp_file.wav";
|
||||
std::ofstream temp_file{temp_filename, std::ios::binary};
|
||||
temp_file << audio_file.content;
|
||||
temp_file.close();
|
||||
|
||||
// if file is not wav, convert to wav
|
||||
|
||||
if (sparams.ffmpeg_converter) {
|
||||
std::string error_resp = "{\"error\":\"Failed to execute ffmpeg command.\"}";
|
||||
const bool is_converted = convert_to_wav(temp_filename, error_resp);
|
||||
if (!is_converted) {
|
||||
res.set_content(error_resp, "application/json");
|
||||
whisper_mutex.unlock();
|
||||
return;
|
||||
}
|
||||
}
|
||||
|
||||
// read wav content into pcmf32
|
||||
if (!::read_wav(temp_filename, pcmf32, pcmf32s, params.diarize)) {
|
||||
fprintf(stderr, "error: failed to read WAV file '%s'\n", temp_filename.c_str());
|
||||
const std::string error_resp = "{\"error\":\"failed to read WAV file\"}";
|
||||
res.set_content(error_resp, "application/json");
|
||||
std::remove(temp_filename.c_str());
|
||||
whisper_mutex.unlock();
|
||||
return;
|
||||
}
|
||||
// remove temp file
|
||||
std::remove(temp_filename.c_str());
|
||||
|
||||
printf("Successfully loaded %s\n", filename.c_str());
|
||||
|
||||
// print system information
|
||||
{
|
||||
fprintf(stderr, "\n");
|
||||
fprintf(stderr, "system_info: n_threads = %d / %d | %s\n",
|
||||
params.n_threads*params.n_processors, std::thread::hardware_concurrency(), whisper_print_system_info());
|
||||
}
|
||||
|
||||
// print some info about the processing
|
||||
{
|
||||
fprintf(stderr, "\n");
|
||||
if (!whisper_is_multilingual(ctx)) {
|
||||
if (params.language != "en" || params.translate) {
|
||||
params.language = "en";
|
||||
params.translate = false;
|
||||
fprintf(stderr, "%s: WARNING: model is not multilingual, ignoring language and translation options\n", __func__);
|
||||
}
|
||||
}
|
||||
if (params.detect_language) {
|
||||
params.language = "auto";
|
||||
}
|
||||
fprintf(stderr, "%s: processing '%s' (%d samples, %.1f sec), %d threads, %d processors, lang = %s, task = %s, %stimestamps = %d ...\n",
|
||||
__func__, filename.c_str(), int(pcmf32.size()), float(pcmf32.size())/WHISPER_SAMPLE_RATE,
|
||||
params.n_threads, params.n_processors,
|
||||
params.language.c_str(),
|
||||
params.translate ? "translate" : "transcribe",
|
||||
params.tinydiarize ? "tdrz = 1, " : "",
|
||||
params.no_timestamps ? 0 : 1);
|
||||
|
||||
fprintf(stderr, "\n");
|
||||
}
|
||||
|
||||
// run the inference
|
||||
{
|
||||
printf("Running whisper.cpp inference on %s\n", filename.c_str());
|
||||
whisper_full_params wparams = whisper_full_default_params(WHISPER_SAMPLING_GREEDY);
|
||||
|
||||
wparams.strategy = params.beam_size > 1 ? WHISPER_SAMPLING_BEAM_SEARCH : WHISPER_SAMPLING_GREEDY;
|
||||
|
||||
wparams.print_realtime = false;
|
||||
wparams.print_progress = params.print_progress;
|
||||
wparams.print_timestamps = !params.no_timestamps;
|
||||
wparams.print_special = params.print_special;
|
||||
wparams.translate = params.translate;
|
||||
wparams.language = params.language.c_str();
|
||||
wparams.detect_language = params.detect_language;
|
||||
wparams.n_threads = params.n_threads;
|
||||
wparams.n_max_text_ctx = params.max_context >= 0 ? params.max_context : wparams.n_max_text_ctx;
|
||||
wparams.offset_ms = params.offset_t_ms;
|
||||
wparams.duration_ms = params.duration_ms;
|
||||
|
||||
wparams.thold_pt = params.word_thold;
|
||||
wparams.max_len = params.max_len == 0 ? 60 : params.max_len;
|
||||
wparams.split_on_word = params.split_on_word;
|
||||
|
||||
wparams.speed_up = params.speed_up;
|
||||
wparams.debug_mode = params.debug_mode;
|
||||
|
||||
wparams.tdrz_enable = params.tinydiarize; // [TDRZ]
|
||||
|
||||
wparams.initial_prompt = params.prompt.c_str();
|
||||
|
||||
wparams.greedy.best_of = params.best_of;
|
||||
wparams.beam_search.beam_size = params.beam_size;
|
||||
|
||||
wparams.temperature_inc = params.userdef_temp;
|
||||
wparams.entropy_thold = params.entropy_thold;
|
||||
wparams.logprob_thold = params.logprob_thold;
|
||||
|
||||
whisper_print_user_data user_data = { ¶ms, &pcmf32s, 0 };
|
||||
|
||||
// this callback is called on each new segment
|
||||
if (params.print_realtime) {
|
||||
wparams.new_segment_callback = whisper_print_segment_callback;
|
||||
wparams.new_segment_callback_user_data = &user_data;
|
||||
}
|
||||
|
||||
if (wparams.print_progress) {
|
||||
wparams.progress_callback = whisper_print_progress_callback;
|
||||
wparams.progress_callback_user_data = &user_data;
|
||||
}
|
||||
|
||||
// examples for abort mechanism
|
||||
// in examples below, we do not abort the processing, but we could if the flag is set to true
|
||||
|
||||
// the callback is called before every encoder run - if it returns false, the processing is aborted
|
||||
{
|
||||
static bool is_aborted = false; // NOTE: this should be atomic to avoid data race
|
||||
|
||||
wparams.encoder_begin_callback = [](struct whisper_context * /*ctx*/, struct whisper_state * /*state*/, void * user_data) {
|
||||
bool is_aborted = *(bool*)user_data;
|
||||
return !is_aborted;
|
||||
};
|
||||
wparams.encoder_begin_callback_user_data = &is_aborted;
|
||||
}
|
||||
|
||||
// the callback is called before every computation - if it returns true, the computation is aborted
|
||||
{
|
||||
static bool is_aborted = false; // NOTE: this should be atomic to avoid data race
|
||||
|
||||
wparams.abort_callback = [](void * user_data) {
|
||||
bool is_aborted = *(bool*)user_data;
|
||||
return is_aborted;
|
||||
};
|
||||
wparams.abort_callback_user_data = &is_aborted;
|
||||
}
|
||||
|
||||
if (whisper_full_parallel(ctx, wparams, pcmf32.data(), pcmf32.size(), params.n_processors) != 0) {
|
||||
fprintf(stderr, "%s: failed to process audio\n", argv[0]);
|
||||
const std::string error_resp = "{\"error\":\"failed to process audio\"}";
|
||||
res.set_content(error_resp, "application/json");
|
||||
whisper_mutex.unlock();
|
||||
return;
|
||||
}
|
||||
}
|
||||
|
||||
// return results to user
|
||||
if (params.response_format == text_format)
|
||||
{
|
||||
std::string results = output_str(ctx, params, pcmf32s);
|
||||
res.set_content(results.c_str(), "text/html");
|
||||
}
|
||||
else if (params.response_format == srt_format)
|
||||
{
|
||||
std::stringstream ss;
|
||||
const int n_segments = whisper_full_n_segments(ctx);
|
||||
for (int i = 0; i < n_segments; ++i) {
|
||||
const char * text = whisper_full_get_segment_text(ctx, i);
|
||||
const int64_t t0 = whisper_full_get_segment_t0(ctx, i);
|
||||
const int64_t t1 = whisper_full_get_segment_t1(ctx, i);
|
||||
std::string speaker = "";
|
||||
|
||||
if (params.diarize && pcmf32s.size() == 2)
|
||||
{
|
||||
speaker = estimate_diarization_speaker(pcmf32s, t0, t1);
|
||||
}
|
||||
|
||||
ss << i + 1 + params.offset_n << "\n";
|
||||
ss << to_timestamp(t0, true) << " --> " << to_timestamp(t1, true) << "\n";
|
||||
ss << speaker << text << "\n\n";
|
||||
}
|
||||
res.set_content(ss.str(), "application/x-subrip");
|
||||
} else if (params.response_format == vtt_format) {
|
||||
std::stringstream ss;
|
||||
|
||||
ss << "WEBVTT\n\n";
|
||||
|
||||
const int n_segments = whisper_full_n_segments(ctx);
|
||||
for (int i = 0; i < n_segments; ++i) {
|
||||
const char * text = whisper_full_get_segment_text(ctx, i);
|
||||
const int64_t t0 = whisper_full_get_segment_t0(ctx, i);
|
||||
const int64_t t1 = whisper_full_get_segment_t1(ctx, i);
|
||||
std::string speaker = "";
|
||||
|
||||
if (params.diarize && pcmf32s.size() == 2)
|
||||
{
|
||||
speaker = estimate_diarization_speaker(pcmf32s, t0, t1, true);
|
||||
speaker.insert(0, "<v Speaker");
|
||||
speaker.append(">");
|
||||
}
|
||||
|
||||
ss << to_timestamp(t0) << " --> " << to_timestamp(t1) << "\n";
|
||||
ss << speaker << text << "\n\n";
|
||||
}
|
||||
res.set_content(ss.str(), "text/vtt");
|
||||
}
|
||||
// TODO add more output formats
|
||||
else
|
||||
{
|
||||
std::string results = output_str(ctx, params, pcmf32s);
|
||||
json jres = json{
|
||||
{"text", results}
|
||||
};
|
||||
res.set_content(jres.dump(-1, ' ', false, json::error_handler_t::replace),
|
||||
"application/json");
|
||||
}
|
||||
|
||||
// return whisper model mutex lock
|
||||
whisper_mutex.unlock();
|
||||
});
|
||||
svr.Post("/load", [&](const Request &req, Response &res){
|
||||
whisper_mutex.lock();
|
||||
if (!req.has_file("model"))
|
||||
{
|
||||
fprintf(stderr, "error: no 'model' field in the request\n");
|
||||
const std::string error_resp = "{\"error\":\"no 'model' field in the request\"}";
|
||||
res.set_content(error_resp, "application/json");
|
||||
whisper_mutex.unlock();
|
||||
return;
|
||||
}
|
||||
std::string model = req.get_file_value("model").content;
|
||||
if (!is_file_exist(model.c_str()))
|
||||
{
|
||||
fprintf(stderr, "error: 'model': %s not found!\n", model.c_str());
|
||||
const std::string error_resp = "{\"error\":\"model not found!\"}";
|
||||
res.set_content(error_resp, "application/json");
|
||||
whisper_mutex.unlock();
|
||||
return;
|
||||
}
|
||||
|
||||
// clean up
|
||||
whisper_free(ctx);
|
||||
|
||||
// whisper init
|
||||
ctx = whisper_init_from_file_with_params(model.c_str(), cparams);
|
||||
|
||||
// TODO perhaps load prior model here instead of exit
|
||||
if (ctx == nullptr) {
|
||||
fprintf(stderr, "error: model init failed, no model loaded must exit\n");
|
||||
exit(1);
|
||||
}
|
||||
|
||||
// initialize openvino encoder. this has no effect on whisper.cpp builds that don't have OpenVINO configured
|
||||
whisper_ctx_init_openvino_encoder(ctx, nullptr, params.openvino_encode_device.c_str(), nullptr);
|
||||
|
||||
const std::string success = "Load was successful!";
|
||||
res.set_content(success, "application/text");
|
||||
|
||||
// check if the model is in the file system
|
||||
whisper_mutex.unlock();
|
||||
});
|
||||
|
||||
svr.set_exception_handler([](const Request &, Response &res, std::exception_ptr ep) {
|
||||
const char fmt[] = "500 Internal Server Error\n%s";
|
||||
char buf[BUFSIZ];
|
||||
try {
|
||||
std::rethrow_exception(std::move(ep));
|
||||
} catch (std::exception &e) {
|
||||
snprintf(buf, sizeof(buf), fmt, e.what());
|
||||
} catch (...) {
|
||||
snprintf(buf, sizeof(buf), fmt, "Unknown Exception");
|
||||
}
|
||||
res.set_content(buf, "text/plain");
|
||||
res.status = 500;
|
||||
});
|
||||
|
||||
svr.set_error_handler([](const Request &, Response &res) {
|
||||
if (res.status == 400) {
|
||||
res.set_content("Invalid request", "text/plain");
|
||||
} else if (res.status != 500) {
|
||||
res.set_content("File Not Found", "text/plain");
|
||||
res.status = 404;
|
||||
}
|
||||
});
|
||||
|
||||
// set timeouts and change hostname and port
|
||||
svr.set_read_timeout(sparams.read_timeout);
|
||||
svr.set_write_timeout(sparams.write_timeout);
|
||||
|
||||
if (!svr.bind_to_port(sparams.hostname, sparams.port))
|
||||
{
|
||||
fprintf(stderr, "\ncouldn't bind to server socket: hostname=%s port=%d\n\n",
|
||||
sparams.hostname.c_str(), sparams.port);
|
||||
return 1;
|
||||
}
|
||||
|
||||
// Set the base directory for serving static files
|
||||
svr.set_base_dir(sparams.public_path);
|
||||
|
||||
// to make it ctrl+clickable:
|
||||
printf("\nwhisper server listening at http://%s:%d\n\n", sparams.hostname.c_str(), sparams.port);
|
||||
|
||||
if (!svr.listen_after_bind())
|
||||
{
|
||||
return 1;
|
||||
}
|
||||
|
||||
whisper_print_timings(ctx);
|
||||
whisper_free(ctx);
|
||||
|
||||
return 0;
|
||||
}
|
@ -1,18 +1,25 @@
|
||||
if (WHISPER_SDL2)
|
||||
# talk-llama
|
||||
set(TARGET talk-llama)
|
||||
add_executable(${TARGET} talk-llama.cpp llama.cpp)
|
||||
target_include_directories(${TARGET} PRIVATE ${SDL2_INCLUDE_DIRS})
|
||||
#add_executable(${TARGET} talk-llama.cpp llama.cpp)
|
||||
#target_include_directories(${TARGET} PRIVATE ${SDL2_INCLUDE_DIRS})
|
||||
#target_link_libraries(${TARGET} PRIVATE common common-sdl whisper ${SDL2_LIBRARIES} ${CMAKE_THREAD_LIBS_INIT})
|
||||
|
||||
if (WHISPER_CLBLAST)
|
||||
set(CLBLAST_LIBNAME clblast)
|
||||
endif ()
|
||||
target_link_libraries(${TARGET} PRIVATE common common-sdl whisper ${SDL2_LIBRARIES} ${CLBLAST_LIBNAME} ${CMAKE_THREAD_LIBS_INIT})
|
||||
# TODO: this is temporary
|
||||
# need to export ggml symbols for MSVC, but too lazy ..
|
||||
add_executable(${TARGET}
|
||||
talk-llama.cpp
|
||||
llama.cpp
|
||||
../common.cpp
|
||||
../common-sdl.cpp
|
||||
../../ggml.c
|
||||
../../ggml-alloc.c
|
||||
../../ggml-backend.c
|
||||
../../ggml-quants.c
|
||||
../../whisper.cpp)
|
||||
|
||||
if(WIN32)
|
||||
# It requires Windows 8.1 or later for PrefetchVirtualMemory
|
||||
target_compile_definitions(${TARGET} PRIVATE -D_WIN32_WINNT=0x0602)
|
||||
endif()
|
||||
target_include_directories(${TARGET} PRIVATE ${SDL2_INCLUDE_DIRS} ../../)
|
||||
target_link_libraries(${TARGET} PRIVATE ${SDL2_LIBRARIES} ${CMAKE_THREAD_LIBS_INIT})
|
||||
|
||||
include(DefaultTargetOptions)
|
||||
endif ()
|
||||
|
@ -39,11 +39,10 @@
|
||||
|
||||
#define LLAMA_MAX_RNG_STATE (64*1024)
|
||||
|
||||
#define LLAMA_FILE_MAGIC_GGLA 0x67676c61u // 'ggla'
|
||||
#define LLAMA_FILE_MAGIC_GGSN 0x6767736eu // 'ggsn'
|
||||
|
||||
#define LLAMA_SESSION_MAGIC LLAMA_FILE_MAGIC_GGSN
|
||||
#define LLAMA_SESSION_VERSION 3
|
||||
#define LLAMA_SESSION_VERSION 2
|
||||
|
||||
#if defined(GGML_USE_CUBLAS) || defined(GGML_USE_CLBLAST) || defined(GGML_USE_METAL)
|
||||
// Defined when llama.cpp is compiled with support for offloading model layers to GPU.
|
||||
@ -127,7 +126,7 @@ extern "C" {
|
||||
bool sorted;
|
||||
} llama_token_data_array;
|
||||
|
||||
typedef bool (*llama_progress_callback)(float progress, void *ctx);
|
||||
typedef void (*llama_progress_callback)(float progress, void *ctx);
|
||||
|
||||
// Input data for llama_decode
|
||||
// A llama_batch object can contain input about one or many sequences
|
||||
@ -159,38 +158,16 @@ extern "C" {
|
||||
llama_seq_id all_seq_id; // used if seq_id == NULL
|
||||
} llama_batch;
|
||||
|
||||
enum llama_model_kv_override_type {
|
||||
LLAMA_KV_OVERRIDE_INT,
|
||||
LLAMA_KV_OVERRIDE_FLOAT,
|
||||
LLAMA_KV_OVERRIDE_BOOL,
|
||||
};
|
||||
|
||||
struct llama_model_kv_override {
|
||||
char key[128];
|
||||
enum llama_model_kv_override_type tag;
|
||||
union {
|
||||
int64_t int_value;
|
||||
double float_value;
|
||||
bool bool_value;
|
||||
};
|
||||
};
|
||||
|
||||
struct llama_model_params {
|
||||
int32_t n_gpu_layers; // number of layers to store in VRAM
|
||||
int32_t main_gpu; // the GPU that is used for scratch and small tensors
|
||||
const float * tensor_split; // how to split layers across multiple GPUs (size: LLAMA_MAX_DEVICES)
|
||||
|
||||
// Called with a progress value between 0.0 and 1.0. Pass NULL to disable.
|
||||
// If the provided progress_callback returns true, model loading continues.
|
||||
// If it returns false, model loading is immediately aborted.
|
||||
// called with a progress value between 0 and 1, pass NULL to disable
|
||||
llama_progress_callback progress_callback;
|
||||
|
||||
// context pointer passed to the progress callback
|
||||
void * progress_callback_user_data;
|
||||
|
||||
// override key-value pairs of the model meta data
|
||||
const struct llama_model_kv_override * kv_overrides;
|
||||
|
||||
// Keep the booleans together to avoid misalignment during copy-by-value.
|
||||
bool vocab_only; // only load the vocabulary, no weights
|
||||
bool use_mmap; // use mmap if possible
|
||||
@ -208,20 +185,17 @@ extern "C" {
|
||||
// ref: https://github.com/ggerganov/llama.cpp/pull/2054
|
||||
float rope_freq_base; // RoPE base frequency, 0 = from model
|
||||
float rope_freq_scale; // RoPE frequency scaling factor, 0 = from model
|
||||
float yarn_ext_factor; // YaRN extrapolation mix factor, negative = from model
|
||||
float yarn_ext_factor; // YaRN extrapolation mix factor, NaN = from model
|
||||
float yarn_attn_factor; // YaRN magnitude scaling factor
|
||||
float yarn_beta_fast; // YaRN low correction dim
|
||||
float yarn_beta_slow; // YaRN high correction dim
|
||||
uint32_t yarn_orig_ctx; // YaRN original context size
|
||||
|
||||
enum ggml_type type_k; // data type for K cache
|
||||
enum ggml_type type_v; // data type for V cache
|
||||
|
||||
// Keep the booleans together to avoid misalignment during copy-by-value.
|
||||
bool mul_mat_q; // if true, use experimental mul_mat_q kernels (DEPRECATED - always true)
|
||||
bool logits_all; // the llama_eval() call computes all logits, not just the last one (DEPRECATED - set llama_batch.logits instead)
|
||||
bool embedding; // embedding mode only
|
||||
bool offload_kqv; // whether to offload the KQV ops (including the KV cache) to GPU
|
||||
bool mul_mat_q; // if true, use experimental mul_mat_q kernels (DEPRECATED - always true)
|
||||
bool f16_kv; // use fp16 for KV cache, fp32 otherwise
|
||||
bool logits_all; // the llama_eval() call computes all logits, not just the last one
|
||||
bool embedding; // embedding mode only
|
||||
};
|
||||
|
||||
// model quantization parameters
|
||||
@ -316,9 +290,7 @@ extern "C" {
|
||||
|
||||
LLAMA_API const struct llama_model * llama_get_model(const struct llama_context * ctx);
|
||||
|
||||
// TODO: become more consistent with returned int types across the API
|
||||
LLAMA_API uint32_t llama_n_ctx (const struct llama_context * ctx);
|
||||
LLAMA_API uint32_t llama_n_batch (const struct llama_context * ctx);
|
||||
LLAMA_API int llama_n_ctx (const struct llama_context * ctx);
|
||||
|
||||
LLAMA_API enum llama_vocab_type llama_vocab_type(const struct llama_model * model);
|
||||
|
||||
@ -329,23 +301,6 @@ extern "C" {
|
||||
// Get the model's RoPE frequency scaling factor
|
||||
LLAMA_API float llama_rope_freq_scale_train(const struct llama_model * model);
|
||||
|
||||
// Functions to access the model's GGUF metadata scalar values
|
||||
// - The functions return the length of the string on success, or -1 on failure
|
||||
// - The output string is always null-terminated and cleared on failure
|
||||
// - GGUF array values are not supported by these functions
|
||||
|
||||
// Get metadata value as a string by key name
|
||||
LLAMA_API int llama_model_meta_val_str(const struct llama_model * model, const char * key, char * buf, size_t buf_size);
|
||||
|
||||
// Get the number of metadata key/value pairs
|
||||
LLAMA_API int llama_model_meta_count(const struct llama_model * model);
|
||||
|
||||
// Get metadata key name by index
|
||||
LLAMA_API int llama_model_meta_key_by_index(const struct llama_model * model, int i, char * buf, size_t buf_size);
|
||||
|
||||
// Get metadata value as a string by index
|
||||
LLAMA_API int llama_model_meta_val_str_by_index(const struct llama_model * model, int i, char * buf, size_t buf_size);
|
||||
|
||||
// Get a string describing the model type
|
||||
LLAMA_API int llama_model_desc(const struct llama_model * model, char * buf, size_t buf_size);
|
||||
|
||||
@ -389,60 +344,9 @@ extern "C" {
|
||||
// KV cache
|
||||
//
|
||||
|
||||
// Information associated with an individual cell in the KV cache view.
|
||||
struct llama_kv_cache_view_cell {
|
||||
// The position for this cell. Takes KV cache shifts into account.
|
||||
// May be negative if the cell is not populated.
|
||||
llama_pos pos;
|
||||
};
|
||||
|
||||
// An updateable view of the KV cache.
|
||||
struct llama_kv_cache_view {
|
||||
// Number of KV cache cells. This will be the same as the context size.
|
||||
int32_t n_cells;
|
||||
|
||||
// Maximum number of sequences that can exist in a cell. It's not an error
|
||||
// if there are more sequences in a cell than this value, however they will
|
||||
// not be visible in the view cells_sequences.
|
||||
int32_t n_max_seq;
|
||||
|
||||
// Number of tokens in the cache. For example, if there are two populated
|
||||
// cells, the first with 1 sequence id in it and the second with 2 sequence
|
||||
// ids then you'll have 3 tokens.
|
||||
int32_t token_count;
|
||||
|
||||
// Number of populated cache cells.
|
||||
int32_t used_cells;
|
||||
|
||||
// Maximum contiguous empty slots in the cache.
|
||||
int32_t max_contiguous;
|
||||
|
||||
// Index to the start of the max_contiguous slot range. Can be negative
|
||||
// when cache is full.
|
||||
int32_t max_contiguous_idx;
|
||||
|
||||
// Information for an individual cell.
|
||||
struct llama_kv_cache_view_cell * cells;
|
||||
|
||||
// The sequences for each cell. There will be n_max_seq items per cell.
|
||||
llama_seq_id * cells_sequences;
|
||||
};
|
||||
|
||||
// Create an empty KV cache view. (use only for debugging purposes)
|
||||
LLAMA_API struct llama_kv_cache_view llama_kv_cache_view_init(const struct llama_context * ctx, int32_t n_max_seq);
|
||||
|
||||
// Free a KV cache view. (use only for debugging purposes)
|
||||
LLAMA_API void llama_kv_cache_view_free(struct llama_kv_cache_view * view);
|
||||
|
||||
// Update the KV cache view structure with the current state of the KV cache. (use only for debugging purposes)
|
||||
LLAMA_API void llama_kv_cache_view_update(const struct llama_context * ctx, struct llama_kv_cache_view * view);
|
||||
|
||||
// Returns the number of tokens in the KV cache (slow, use only for debug)
|
||||
// If a KV cell has multiple sequences assigned to it, it will be counted multiple times
|
||||
LLAMA_API int llama_get_kv_cache_token_count(const struct llama_context * ctx);
|
||||
|
||||
// Returns the number of used KV cells (i.e. have at least one sequence assigned to them)
|
||||
LLAMA_API int llama_get_kv_cache_used_cells(const struct llama_context * ctx);
|
||||
// Returns the number of tokens in the KV cache
|
||||
LLAMA_API DEPRECATED(int llama_get_kv_cache_token_count(const struct llama_context * ctx),
|
||||
"avoid using this, it will be removed in the future, instead - count the tokens in user code");
|
||||
|
||||
// Clear the KV cache
|
||||
LLAMA_API void llama_kv_cache_clear(
|
||||
@ -613,12 +517,6 @@ extern "C" {
|
||||
LLAMA_API llama_token llama_token_eos(const struct llama_model * model); // end-of-sentence
|
||||
LLAMA_API llama_token llama_token_nl (const struct llama_model * model); // next-line
|
||||
|
||||
// Returns -1 if unknown, 1 for true or 0 for false.
|
||||
LLAMA_API int llama_add_bos_token(const struct llama_model * model);
|
||||
|
||||
// Returns -1 if unknown, 1 for true or 0 for false.
|
||||
LLAMA_API int llama_add_eos_token(const struct llama_model * model);
|
||||
|
||||
// codellama infill tokens
|
||||
LLAMA_API llama_token llama_token_prefix(const struct llama_model * model); // Beginning of infill prefix
|
||||
LLAMA_API llama_token llama_token_middle(const struct llama_model * model); // Beginning of infill middle
|
||||
|
@ -53,7 +53,6 @@ struct whisper_params {
|
||||
int32_t capture_id = -1;
|
||||
int32_t max_tokens = 32;
|
||||
int32_t audio_ctx = 0;
|
||||
int32_t n_gpu_layers = 999;
|
||||
|
||||
float vad_thold = 0.6f;
|
||||
float freq_thold = 100.0f;
|
||||
@ -91,7 +90,6 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
|
||||
else if (arg == "-c" || arg == "--capture") { params.capture_id = std::stoi(argv[++i]); }
|
||||
else if (arg == "-mt" || arg == "--max-tokens") { params.max_tokens = std::stoi(argv[++i]); }
|
||||
else if (arg == "-ac" || arg == "--audio-ctx") { params.audio_ctx = std::stoi(argv[++i]); }
|
||||
else if (arg == "-ngl" || arg == "--n-gpu-layers") { params.n_gpu_layers = std::stoi(argv[++i]); }
|
||||
else if (arg == "-vth" || arg == "--vad-thold") { params.vad_thold = std::stof(argv[++i]); }
|
||||
else if (arg == "-fth" || arg == "--freq-thold") { params.freq_thold = std::stof(argv[++i]); }
|
||||
else if (arg == "-su" || arg == "--speed-up") { params.speed_up = true; }
|
||||
@ -136,7 +134,6 @@ void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & para
|
||||
fprintf(stderr, " -c ID, --capture ID [%-7d] capture device ID\n", params.capture_id);
|
||||
fprintf(stderr, " -mt N, --max-tokens N [%-7d] maximum number of tokens per audio chunk\n", params.max_tokens);
|
||||
fprintf(stderr, " -ac N, --audio-ctx N [%-7d] audio context size (0 - all)\n", params.audio_ctx);
|
||||
fprintf(stderr, " -ngl N, --n-gpu-layers N [%-7d] number of layers to store in VRAM\n", params.n_gpu_layers);
|
||||
fprintf(stderr, " -vth N, --vad-thold N [%-7.2f] voice activity detection threshold\n", params.vad_thold);
|
||||
fprintf(stderr, " -fth N, --freq-thold N [%-7.2f] high-pass frequency cutoff\n", params.freq_thold);
|
||||
fprintf(stderr, " -su, --speed-up [%-7s] speed up audio by x2 (reduced accuracy)\n", params.speed_up ? "true" : "false");
|
||||
@ -271,8 +268,6 @@ int main(int argc, char ** argv) {
|
||||
auto lmparams = llama_model_default_params();
|
||||
if (!params.use_gpu) {
|
||||
lmparams.n_gpu_layers = 0;
|
||||
} else {
|
||||
lmparams.n_gpu_layers = params.n_gpu_layers;
|
||||
}
|
||||
|
||||
struct llama_model * model_llama = llama_load_model_from_file(params.model_llama.c_str(), lmparams);
|
||||
@ -282,6 +277,7 @@ int main(int argc, char ** argv) {
|
||||
// tune these to your liking
|
||||
lcparams.n_ctx = 2048;
|
||||
lcparams.seed = 1;
|
||||
lcparams.f16_kv = true;
|
||||
lcparams.n_threads = params.n_threads;
|
||||
|
||||
struct llama_context * ctx_llama = llama_new_context_with_model(model_llama, lcparams);
|
||||
@ -685,8 +681,8 @@ int main(int argc, char ** argv) {
|
||||
}
|
||||
}
|
||||
|
||||
text_to_speak = ::replace(text_to_speak, "'", "'\"'\"'");
|
||||
int ret = system((params.speak + " " + std::to_string(voice_id) + " '" + text_to_speak + "'").c_str());
|
||||
text_to_speak = ::replace(text_to_speak, "\"", "");
|
||||
int ret = system((params.speak + " " + std::to_string(voice_id) + " \"" + text_to_speak + "\"").c_str());
|
||||
if (ret != 0) {
|
||||
fprintf(stderr, "%s: failed to speak\n", __func__);
|
||||
}
|
||||
|
@ -155,33 +155,33 @@ bool gpt2_model_load(const std::string & fname, gpt2_model & model, gpt_vocab &
|
||||
const int n_ctx = hparams.n_ctx;
|
||||
const int n_vocab = hparams.n_vocab;
|
||||
|
||||
ctx_size += ggml_row_size(GGML_TYPE_F32, n_embd); // ln_f_g
|
||||
ctx_size += ggml_row_size(GGML_TYPE_F32, n_embd); // ln_f_b
|
||||
ctx_size += n_embd*ggml_type_sizef(GGML_TYPE_F32); // ln_f_g
|
||||
ctx_size += n_embd*ggml_type_sizef(GGML_TYPE_F32); // ln_f_b
|
||||
|
||||
ctx_size += n_vocab*ggml_row_size(wtype, n_embd); // wte
|
||||
ctx_size += n_ctx*ggml_row_size(GGML_TYPE_F32, n_embd); // wpe
|
||||
ctx_size += n_vocab*ggml_row_size(wtype, n_embd); // lm_head
|
||||
ctx_size += n_vocab*n_embd*ggml_type_sizef(wtype); // wte
|
||||
ctx_size += n_ctx*n_embd*ggml_type_sizef(GGML_TYPE_F32); // wpe
|
||||
ctx_size += n_vocab*n_embd*ggml_type_sizef(wtype); // lm_head
|
||||
|
||||
ctx_size += n_layer*(ggml_row_size(GGML_TYPE_F32, n_embd)); // ln_1_g
|
||||
ctx_size += n_layer*(ggml_row_size(GGML_TYPE_F32, n_embd)); // ln_1_b
|
||||
ctx_size += n_layer*(n_embd*ggml_type_sizef(GGML_TYPE_F32)); // ln_1_g
|
||||
ctx_size += n_layer*(n_embd*ggml_type_sizef(GGML_TYPE_F32)); // ln_1_b
|
||||
|
||||
ctx_size += n_layer*(ggml_row_size(GGML_TYPE_F32, n_embd)); // ln_2_g
|
||||
ctx_size += n_layer*(ggml_row_size(GGML_TYPE_F32, n_embd)); // ln_2_b
|
||||
ctx_size += n_layer*(n_embd*ggml_type_sizef(GGML_TYPE_F32)); // ln_2_g
|
||||
ctx_size += n_layer*(n_embd*ggml_type_sizef(GGML_TYPE_F32)); // ln_2_b
|
||||
|
||||
ctx_size += n_layer*(ggml_row_size(wtype, 3*n_embd*n_embd)); // c_attn_attn_w
|
||||
ctx_size += n_layer*(ggml_row_size(GGML_TYPE_F32, 3*n_embd)); // c_attn_attn_b
|
||||
ctx_size += n_layer*(3*n_embd*n_embd*ggml_type_sizef(wtype)); // c_attn_attn_w
|
||||
ctx_size += n_layer*( 3*n_embd*ggml_type_sizef(GGML_TYPE_F32)); // c_attn_attn_b
|
||||
|
||||
ctx_size += n_layer*(ggml_row_size(wtype, n_embd*n_embd)); // c_attn_proj_w
|
||||
ctx_size += n_layer*(ggml_row_size(GGML_TYPE_F32, n_embd)); // c_attn_proj_b
|
||||
ctx_size += n_layer*(n_embd*n_embd*ggml_type_sizef(wtype)); // c_attn_proj_w
|
||||
ctx_size += n_layer*( n_embd*ggml_type_sizef(GGML_TYPE_F32)); // c_attn_proj_b
|
||||
|
||||
ctx_size += n_layer*(ggml_row_size(wtype, 4*n_embd*n_embd)); // c_mlp_fc_w
|
||||
ctx_size += n_layer*(ggml_row_size(GGML_TYPE_F32, 4*n_embd)); // c_mlp_fc_b
|
||||
ctx_size += n_layer*(4*n_embd*n_embd*ggml_type_sizef(wtype)); // c_mlp_fc_w
|
||||
ctx_size += n_layer*( 4*n_embd*ggml_type_sizef(GGML_TYPE_F32)); // c_mlp_fc_b
|
||||
|
||||
ctx_size += n_layer*(ggml_row_size(wtype, 4*n_embd*n_embd)); // c_mlp_proj_w
|
||||
ctx_size += n_layer*(ggml_row_size(GGML_TYPE_F32, n_embd)); // c_mlp_proj_b
|
||||
ctx_size += n_layer*(4*n_embd*n_embd*ggml_type_sizef(wtype)); // c_mlp_proj_w
|
||||
ctx_size += n_layer*( n_embd*ggml_type_sizef(GGML_TYPE_F32)); // c_mlp_proj_b
|
||||
|
||||
ctx_size += n_ctx*n_layer*ggml_row_size(GGML_TYPE_F32, n_embd); // memory_k
|
||||
ctx_size += n_ctx*n_layer*ggml_row_size(GGML_TYPE_F32, n_embd); // memory_v
|
||||
ctx_size += n_ctx*n_layer*n_embd*ggml_type_sizef(GGML_TYPE_F32); // memory_k
|
||||
ctx_size += n_ctx*n_layer*n_embd*ggml_type_sizef(GGML_TYPE_F32); // memory_v
|
||||
|
||||
ctx_size += (6 + 12*n_layer)*256; // object overhead
|
||||
|
||||
@ -524,7 +524,8 @@ bool gpt2_eval(
|
||||
struct ggml_tensor * KQ_scaled =
|
||||
ggml_scale(ctx0,
|
||||
KQ,
|
||||
1.0f/sqrt(float(n_embd)/n_head));
|
||||
ggml_new_f32(ctx0, 1.0f/sqrt(float(n_embd)/n_head))
|
||||
);
|
||||
|
||||
// KQ_masked = mask_past(KQ_scaled)
|
||||
// [n_past + N, N, 12]
|
||||
|
@ -155,33 +155,33 @@ bool gpt2_model_load(const std::string & fname, gpt2_model & model, gpt_vocab &
|
||||
const int n_ctx = hparams.n_ctx;
|
||||
const int n_vocab = hparams.n_vocab;
|
||||
|
||||
ctx_size += ggml_row_size(GGML_TYPE_F32, n_embd); // ln_f_g
|
||||
ctx_size += ggml_row_size(GGML_TYPE_F32, n_embd); // ln_f_b
|
||||
ctx_size += n_embd*ggml_type_sizef(GGML_TYPE_F32); // ln_f_g
|
||||
ctx_size += n_embd*ggml_type_sizef(GGML_TYPE_F32); // ln_f_b
|
||||
|
||||
ctx_size += n_vocab*ggml_row_size(wtype, n_embd); // wte
|
||||
ctx_size += n_ctx*ggml_row_size(GGML_TYPE_F32, n_embd); // wpe
|
||||
ctx_size += n_vocab*ggml_row_size(wtype, n_embd); // lm_head
|
||||
ctx_size += n_vocab*n_embd*ggml_type_sizef(wtype); // wte
|
||||
ctx_size += n_ctx*n_embd*ggml_type_sizef(GGML_TYPE_F32); // wpe
|
||||
ctx_size += n_vocab*n_embd*ggml_type_sizef(wtype); // lm_head
|
||||
|
||||
ctx_size += n_layer*(ggml_row_size(GGML_TYPE_F32, n_embd)); // ln_1_g
|
||||
ctx_size += n_layer*(ggml_row_size(GGML_TYPE_F32, n_embd)); // ln_1_b
|
||||
ctx_size += n_layer*(n_embd*ggml_type_sizef(GGML_TYPE_F32)); // ln_1_g
|
||||
ctx_size += n_layer*(n_embd*ggml_type_sizef(GGML_TYPE_F32)); // ln_1_b
|
||||
|
||||
ctx_size += n_layer*(ggml_row_size(GGML_TYPE_F32, n_embd)); // ln_2_g
|
||||
ctx_size += n_layer*(ggml_row_size(GGML_TYPE_F32, n_embd)); // ln_2_b
|
||||
ctx_size += n_layer*(n_embd*ggml_type_sizef(GGML_TYPE_F32)); // ln_2_g
|
||||
ctx_size += n_layer*(n_embd*ggml_type_sizef(GGML_TYPE_F32)); // ln_2_b
|
||||
|
||||
ctx_size += n_layer*(ggml_row_size(wtype, 3*n_embd*n_embd)); // c_attn_attn_w
|
||||
ctx_size += n_layer*(ggml_row_size(GGML_TYPE_F32, 3*n_embd)); // c_attn_attn_b
|
||||
ctx_size += n_layer*(3*n_embd*n_embd*ggml_type_sizef(wtype)); // c_attn_attn_w
|
||||
ctx_size += n_layer*( 3*n_embd*ggml_type_sizef(GGML_TYPE_F32)); // c_attn_attn_b
|
||||
|
||||
ctx_size += n_layer*(ggml_row_size(wtype, n_embd*n_embd)); // c_attn_proj_w
|
||||
ctx_size += n_layer*(ggml_row_size(GGML_TYPE_F32, n_embd)); // c_attn_proj_b
|
||||
ctx_size += n_layer*(n_embd*n_embd*ggml_type_sizef(wtype)); // c_attn_proj_w
|
||||
ctx_size += n_layer*( n_embd*ggml_type_sizef(GGML_TYPE_F32)); // c_attn_proj_b
|
||||
|
||||
ctx_size += n_layer*(ggml_row_size(wtype, 4*n_embd*n_embd)); // c_mlp_fc_w
|
||||
ctx_size += n_layer*(ggml_row_size(GGML_TYPE_F32, 4*n_embd)); // c_mlp_fc_b
|
||||
ctx_size += n_layer*(4*n_embd*n_embd*ggml_type_sizef(wtype)); // c_mlp_fc_w
|
||||
ctx_size += n_layer*( 4*n_embd*ggml_type_sizef(GGML_TYPE_F32)); // c_mlp_fc_b
|
||||
|
||||
ctx_size += n_layer*(ggml_row_size(wtype, 4*n_embd*n_embd)); // c_mlp_proj_w
|
||||
ctx_size += n_layer*(ggml_row_size(GGML_TYPE_F32, n_embd)); // c_mlp_proj_b
|
||||
ctx_size += n_layer*(4*n_embd*n_embd*ggml_type_sizef(wtype)); // c_mlp_proj_w
|
||||
ctx_size += n_layer*( n_embd*ggml_type_sizef(GGML_TYPE_F32)); // c_mlp_proj_b
|
||||
|
||||
ctx_size += n_ctx*n_layer*ggml_row_size(GGML_TYPE_F32, n_embd); // memory_k
|
||||
ctx_size += n_ctx*n_layer*ggml_row_size(GGML_TYPE_F32, n_embd); // memory_v
|
||||
ctx_size += n_ctx*n_layer*n_embd*ggml_type_sizef(GGML_TYPE_F32); // memory_k
|
||||
ctx_size += n_ctx*n_layer*n_embd*ggml_type_sizef(GGML_TYPE_F32); // memory_v
|
||||
|
||||
ctx_size += (6 + 12*n_layer)*256; // object overhead
|
||||
|
||||
@ -525,7 +525,8 @@ bool gpt2_eval(
|
||||
struct ggml_tensor * KQ_scaled =
|
||||
ggml_scale(ctx0,
|
||||
KQ,
|
||||
1.0f/sqrt(float(n_embd)/n_head));
|
||||
ggml_new_f32(ctx0, 1.0f/sqrt(float(n_embd)/n_head))
|
||||
);
|
||||
|
||||
// KQ_masked = mask_past(KQ_scaled)
|
||||
// [n_past + N, N, 12]
|
||||
|
@ -21,7 +21,7 @@ help()
|
||||
echo "Usage: ./twitch.sh -s [step] -m [model] -t [threads] [url]"
|
||||
echo "options:"
|
||||
echo "-s Step in seconds (default is $step)."
|
||||
echo "-m Choose model, options are: 'tiny.en' 'tiny' 'base.en' 'base' 'small.en' 'small' 'medium.en' 'medium' 'large-v1' 'large-v2' 'large-v3' (default is '$model')."
|
||||
echo "-m Choose model, options are: 'tiny.en' 'tiny' 'base.en' 'base' 'small.en' 'small' 'medium.en' 'medium' 'large-v1' 'large-v2' 'large' (default is '$model')."
|
||||
echo "-t Number of threads to use."
|
||||
echo "-h Print this help page."
|
||||
echo
|
||||
|
@ -1,9 +0,0 @@
|
||||
set(CMAKE_CXX_STANDARD 11)
|
||||
|
||||
add_subdirectory(libwchess)
|
||||
|
||||
if (EMSCRIPTEN)
|
||||
add_subdirectory(wchess.wasm)
|
||||
else()
|
||||
add_subdirectory(wchess.cmd)
|
||||
endif()
|
@ -1,45 +0,0 @@
|
||||
# wchess
|
||||
|
||||
Voice-controlled chess using Whisper
|
||||
|
||||
Online demo: https://whisper.ggerganov.com/wchess/
|
||||
|
||||
https://github.com/ggerganov/whisper.cpp/assets/1991296/c2b2f03c-9684-49f3-8106-357d2d4e67fa
|
||||
|
||||
## Command-line tool
|
||||
|
||||
```bash
|
||||
mkdir build && cd build
|
||||
cmake -DWHISPER_SDL2=1 ..
|
||||
make -j
|
||||
|
||||
./bin/wchess -m ../models/ggml-base.en.bin
|
||||
|
||||
Move: start
|
||||
|
||||
a b c d e f g h
|
||||
r n b q k b n r 8
|
||||
p p p p p p p p 7
|
||||
. * . * . * . * 6
|
||||
* . * . * . * . 5
|
||||
. * . * . * . * 4
|
||||
* . * . * . * . 3
|
||||
P P P P P P P P 2
|
||||
R N B Q K B N R 1
|
||||
|
||||
White's turn
|
||||
[(l)isten/(p)ause/(q)uit]:
|
||||
```
|
||||
|
||||
## TODO
|
||||
|
||||
- Fix bugs in the chess moves logic
|
||||
- Improve web-browser audio capture - sometimes it does not record the voice properly
|
||||
- Add support for more languages by making the generated grammar string multilingual
|
||||
- Explore ways to improve the dynamic grammar to be narrower
|
||||
|
||||
PRs welcome!
|
||||
|
||||
## Thanks
|
||||
|
||||
- [chessboardjs](https://chessboardjs.com) for the neat chessboard JS library used in this demo
|
@ -1,19 +0,0 @@
|
||||
add_library(wchess-core STATIC
|
||||
WChess.cpp
|
||||
WChess.h
|
||||
Chessboard.cpp
|
||||
Chessboard.h
|
||||
)
|
||||
|
||||
target_link_libraries(wchess-core
|
||||
PUBLIC
|
||||
whisper
|
||||
common
|
||||
)
|
||||
|
||||
target_include_directories(wchess-core
|
||||
PUBLIC
|
||||
"$<BUILD_INTERFACE:${CMAKE_CURRENT_SOURCE_DIR}>"
|
||||
)
|
||||
|
||||
# add_executable(test-chessboard test-chessboard.cpp Chessboard.cpp)
|
@ -1,803 +0,0 @@
|
||||
#include "Chessboard.h"
|
||||
|
||||
#include <array>
|
||||
#include <vector>
|
||||
#include <algorithm>
|
||||
#include <cstring>
|
||||
#include <set>
|
||||
#include <list>
|
||||
#include <chrono>
|
||||
|
||||
namespace {
|
||||
constexpr std::array<const char*, 64> positions = {
|
||||
"a1", "b1", "c1", "d1", "e1", "f1", "g1", "h1",
|
||||
"a2", "b2", "c2", "d2", "e2", "f2", "g2", "h2",
|
||||
"a3", "b3", "c3", "d3", "e3", "f3", "g3", "h3",
|
||||
"a4", "b4", "c4", "d4", "e4", "f4", "g4", "h4",
|
||||
"a5", "b5", "c5", "d5", "e5", "f5", "g5", "h5",
|
||||
"a6", "b6", "c6", "d6", "e6", "f6", "g6", "h6",
|
||||
"a7", "b7", "c7", "d7", "e7", "f7", "g7", "h7",
|
||||
"a8", "b8", "c8", "d8", "e8", "f8", "g8", "h8",
|
||||
};
|
||||
constexpr char INVALID_POS = positions.size();
|
||||
constexpr int R = 0; // rank index
|
||||
constexpr int F = 1; // file index
|
||||
#define FILE (c[F] - '1')
|
||||
#define RANK (c[R] - 'a')
|
||||
constexpr char operator ""_P(const char * c, size_t size) {
|
||||
return size < 2 || RANK < 0 || RANK > 7 ||
|
||||
FILE < 0 || FILE > 7 ? INVALID_POS : FILE * 8 + RANK;
|
||||
}
|
||||
#undef FILE
|
||||
#undef RANK
|
||||
|
||||
struct sview {
|
||||
const char * ptr = nullptr;
|
||||
size_t size = 0;
|
||||
|
||||
sview() = default;
|
||||
sview(const char * p, size_t s) : ptr(p), size(s) {}
|
||||
sview(const std::string& s) : ptr(s.data()), size(s.size()) {}
|
||||
|
||||
size_t find(char del, size_t pos) {
|
||||
while (pos < size && ptr[pos] != del) ++pos;
|
||||
return pos < size ? pos : std::string::npos;
|
||||
}
|
||||
};
|
||||
|
||||
std::vector<sview> split(sview str, char del) {
|
||||
std::vector<sview> res;
|
||||
size_t cur = 0;
|
||||
size_t last = 0;
|
||||
while (cur != std::string::npos) {
|
||||
if (str.ptr[last] == ' ') {
|
||||
++last;
|
||||
continue;
|
||||
}
|
||||
cur = str.find(del, last);
|
||||
size_t len = cur == std::string::npos ? str.size - last : cur - last;
|
||||
res.emplace_back(str.ptr + last, len);
|
||||
last = cur + 1;
|
||||
}
|
||||
return res;
|
||||
}
|
||||
|
||||
char strToPos(sview str) {
|
||||
return operator ""_P(str.ptr, str.size);
|
||||
}
|
||||
|
||||
constexpr std::array<const char*, 6> pieceNames = {
|
||||
"pawn", "knight", "bishop", "rook", "queen", "king",
|
||||
};
|
||||
|
||||
static constexpr std::array<char, 6> blackShort = {
|
||||
'p', 'n', 'b', 'r', 'q', 'k',
|
||||
};
|
||||
static constexpr std::array<char, 6> whiteShort = {
|
||||
'P', 'N', 'B', 'R', 'Q', 'K',
|
||||
};
|
||||
|
||||
char strToType(sview str) {
|
||||
auto it = std::find_if(pieceNames.begin(), pieceNames.end(), [str] (const char* name) { return strncmp(name, str.ptr, str.size) == 0; });
|
||||
return it != pieceNames.end() ? it - pieceNames.begin() : pieceNames.size();
|
||||
}
|
||||
|
||||
// directions
|
||||
using Direction = std::array<char, 2>;
|
||||
|
||||
constexpr Direction N = {(char) 0, (char) 1};
|
||||
constexpr Direction NNE = {(char) 1, (char) 2};
|
||||
constexpr Direction NE = {(char) 1, (char) 1};
|
||||
constexpr Direction ENE = {(char) 2, (char) 1};
|
||||
constexpr Direction E = {(char) 1, (char) 0};
|
||||
constexpr Direction ESE = {(char) 2, (char) -1};
|
||||
constexpr Direction SE = {(char) 1, (char) -1};
|
||||
constexpr Direction SSE = {(char) 1, (char) -2};
|
||||
constexpr Direction S = {(char) 0, (char) -1};
|
||||
constexpr Direction SSW = {(char) -1, (char) -2};
|
||||
constexpr Direction SW = {(char) -1, (char) -1};
|
||||
constexpr Direction WSW = {(char) -2, (char) -1};
|
||||
constexpr Direction W = {(char) -1, (char) 0};
|
||||
constexpr Direction WNW = {(char) -2, (char) 1};
|
||||
constexpr Direction NW = {(char) -1, (char) 1};
|
||||
constexpr Direction NNW = {(char) -1, (char) 2};
|
||||
|
||||
char makeStep(char pos, const Direction& d) {
|
||||
char next[2] = { char(positions[pos][R] + d[R]) , char(positions[pos][F] + d[F]) };
|
||||
return strToPos(sview{next, sizeof(next)});
|
||||
}
|
||||
|
||||
template<class Modifier>
|
||||
char traverse(char pos, const Direction& d, const Modifier& m, int count = 8) {
|
||||
while (--count >= 0) {
|
||||
pos = makeStep(pos, d);
|
||||
if (pos == INVALID_POS || m(pos)) break;
|
||||
}
|
||||
return pos;
|
||||
}
|
||||
|
||||
Direction normalize(const Direction& distance) {
|
||||
//return {char((distance[R] > 0) - (distance[R] < 0)), char((distance[F] > 0) - (distance[F] < 0))};
|
||||
const int drp = distance[R] > 0 ? 1 : 0;
|
||||
const int drn = distance[R] < 0 ? 1 : 0;
|
||||
const int dfp = distance[F] > 0 ? 1 : 0;
|
||||
const int dfn = distance[F] < 0 ? 1 : 0;
|
||||
return {char(drp - drn), char(dfp - dfn)};
|
||||
}
|
||||
|
||||
struct Pin {
|
||||
Direction d;
|
||||
Piece* pinner;
|
||||
Piece* pinned;
|
||||
};
|
||||
using Pins = std::list<Pin>;
|
||||
using Board = std::array<Piece*, 64>;
|
||||
|
||||
std::vector<Direction> filter(const Direction& pin, std::initializer_list<Direction> directions) {
|
||||
if (pin[R] == 0 && pin[F] == 0) return directions;
|
||||
std::vector<Direction> result;
|
||||
for (auto& d : directions) {
|
||||
if ((d[R] == pin[R] || d[R] == -pin[R]) && (d[F] == pin[F] || d[F] == -pin[F])) result.push_back(d);
|
||||
}
|
||||
return result;
|
||||
}
|
||||
}
|
||||
|
||||
class Piece {
|
||||
public:
|
||||
enum Types : char {
|
||||
Pawn,
|
||||
Knight,
|
||||
Bishop,
|
||||
Rook,
|
||||
Queen,
|
||||
King,
|
||||
//
|
||||
NUM_PIECES
|
||||
};
|
||||
|
||||
enum Colors : char {
|
||||
White,
|
||||
Black,
|
||||
};
|
||||
|
||||
const char* name() const;
|
||||
char initial() const;
|
||||
Types type() const { return m_type; }
|
||||
Colors color() const { return m_color; }
|
||||
char pos() const { return m_pos; }
|
||||
void setPos(char pos) {
|
||||
m_pos = pos;
|
||||
invalidate();
|
||||
}
|
||||
const char* coord() const;
|
||||
const std::set<char>& allowed() const { return m_allowed; }
|
||||
bool canReach(char pos) const;
|
||||
virtual bool movePattern(char pos) const = 0;
|
||||
void take();
|
||||
virtual void reinit(const State& state) = 0;
|
||||
void invalidate();
|
||||
protected:
|
||||
Piece(Types type, Colors color, char pos, std::set<char> allowed)
|
||||
: m_type(type), m_color(color), m_pos(pos), m_allowed(std::move(allowed)) {}
|
||||
Piece(const Piece&) = delete;
|
||||
~Piece() = default;
|
||||
|
||||
const Types m_type;
|
||||
const Colors m_color;
|
||||
char m_pos;
|
||||
std::set<char> m_allowed;
|
||||
bool m_update = false;
|
||||
};
|
||||
|
||||
struct Pawn : public Piece {
|
||||
Pawn(Colors color, char pos, std::set<char> next) : Piece(Types::Pawn, color, pos, std::move(next)) {}
|
||||
|
||||
bool is_first_move() const {
|
||||
return m_color ? coord()[F] == '7' : coord()[F] == '2';
|
||||
}
|
||||
|
||||
virtual bool movePattern(char pos) const override {
|
||||
if (m_pos == INVALID_POS) return false;
|
||||
auto cur = coord();
|
||||
auto next = positions[pos];
|
||||
Direction distance = {char(next[R] - cur[R]), char(next[F] - cur[F])};
|
||||
char forward = m_color ? -1 : 1;
|
||||
return (forward == distance[F] && distance[R] * distance[R] <= 1)
|
||||
|| (is_first_move() && 2 * forward == distance[F] && distance[R] == 0);
|
||||
}
|
||||
|
||||
virtual void reinit(const State& state) override;
|
||||
};
|
||||
|
||||
struct Knight : public Piece {
|
||||
Knight(Colors color, char pos, std::set<char> next) : Piece(Types::Knight, color, pos, std::move(next)) {}
|
||||
|
||||
virtual bool movePattern(char pos) const override {
|
||||
if (m_pos == INVALID_POS) return false;
|
||||
auto cur = coord();
|
||||
auto next = positions[pos];
|
||||
Direction diff = {char(next[R] - cur[R]), char(next[F] - cur[F])};
|
||||
return diff[R]*diff[R] + diff[F]*diff[F] == 5;
|
||||
}
|
||||
|
||||
virtual void reinit(const State& state) override;
|
||||
};
|
||||
|
||||
struct Bishop : public Piece {
|
||||
Bishop(Colors color, char pos) : Piece(Types::Bishop, color, pos, {}) {}
|
||||
|
||||
virtual bool movePattern(char pos) const override {
|
||||
if (m_pos == INVALID_POS) return false;
|
||||
auto cur = coord();
|
||||
auto next = positions[pos];
|
||||
return cur[R] - cur[F] == next[R] - next[F] || cur[R] + cur[F] == next[R] + next[F];
|
||||
}
|
||||
|
||||
virtual void reinit(const State& state) override;
|
||||
};
|
||||
|
||||
struct Rook : public Piece {
|
||||
Rook(Colors color, char pos) : Piece(Types::Rook, color, pos, {}) {}
|
||||
|
||||
virtual bool movePattern(char pos) const override {
|
||||
if (m_pos == INVALID_POS) return false;
|
||||
auto cur = coord();
|
||||
auto next = positions[pos];
|
||||
return cur[R] == next[R] || cur[F] == next[F];
|
||||
}
|
||||
|
||||
virtual void reinit(const State& state) override;
|
||||
};
|
||||
|
||||
struct Queen : public Piece {
|
||||
Queen(Colors color, char pos) : Piece(Types::Queen, color, pos, {}) {}
|
||||
|
||||
virtual bool movePattern(char pos) const override {
|
||||
if (m_pos == INVALID_POS) return false;
|
||||
auto cur = coord();
|
||||
auto next = positions[pos];
|
||||
return cur[R] == next[R] || cur[F] == next[F] || cur[R] - cur[F] == next[R] - next[F] || cur[R] + cur[F] == next[R] + next[F];
|
||||
}
|
||||
|
||||
virtual void reinit(const State& state) override;
|
||||
};
|
||||
|
||||
struct King : public Piece {
|
||||
King(Colors color, char pos) : Piece(Types::King, color, pos, {}) {}
|
||||
|
||||
virtual bool movePattern(char pos) const override {
|
||||
if (m_pos == INVALID_POS) return false;
|
||||
auto cur = coord();
|
||||
auto next = positions[pos];
|
||||
Direction diff = {char(next[R] - cur[R]), char(next[F] - cur[F])};
|
||||
return diff[R]*diff[R] + diff[F]*diff[F] <= 2;
|
||||
}
|
||||
|
||||
virtual void reinit(const State& state) override;
|
||||
};
|
||||
|
||||
struct PieceSet {
|
||||
Piece* begin() { return &p1; }
|
||||
Piece* end() { return &r2 + 1; }
|
||||
const Piece* begin() const { return &p1; }
|
||||
const Piece* end() const { return &r2 + 1; }
|
||||
Piece& operator[](int i) { return *(begin() + i); }
|
||||
const Piece& operator[](int i) const { return *(begin() + i); }
|
||||
|
||||
Pawn p1;
|
||||
Pawn p2;
|
||||
Pawn p3;
|
||||
Pawn p4;
|
||||
Pawn p5;
|
||||
Pawn p6;
|
||||
Pawn p7;
|
||||
Pawn p8;
|
||||
Rook r1;
|
||||
Knight n1;
|
||||
Bishop b1;
|
||||
Queen q;
|
||||
King k;
|
||||
Bishop b2;
|
||||
Knight n2;
|
||||
Rook r2;
|
||||
};
|
||||
|
||||
struct State {
|
||||
State();
|
||||
PieceSet blacks;
|
||||
PieceSet whites;
|
||||
Board board;
|
||||
Pins blackPins;
|
||||
Pins whitePins;
|
||||
};
|
||||
|
||||
Direction findPin(const Piece& piece, const State& state) {
|
||||
auto& pins = piece.color() ? state.blackPins : state.whitePins;
|
||||
auto it = std::find_if(pins.begin(), pins.end(), [&] (const Pin& pin) { return pin.pinned == &piece; });
|
||||
if (it != pins.end()) return it->d;
|
||||
return {0, 0};
|
||||
}
|
||||
|
||||
struct Find {
|
||||
Find(const Board& board) : m_board(board) {}
|
||||
bool operator() (char pos) const { return m_board[pos]; }
|
||||
const Board& m_board;
|
||||
};
|
||||
|
||||
struct Add {
|
||||
Add(const Board& board, std::set<char>& moves, Piece::Colors color) : m_board(board), m_moves(moves), m_color(color) {}
|
||||
bool operator() (char pos) const {
|
||||
if (!m_board[pos] || m_board[pos]->color() != m_color) m_moves.insert(pos);
|
||||
return m_board[pos];
|
||||
}
|
||||
const Board& m_board;
|
||||
std::set<char>& m_moves;
|
||||
Piece::Colors m_color;
|
||||
};
|
||||
|
||||
void Pawn::reinit(const State& state) {
|
||||
if (m_pos == INVALID_POS) return;
|
||||
if (!m_update) return;
|
||||
m_update = false;
|
||||
m_allowed.clear();
|
||||
|
||||
auto pin = findPin(*this, state);
|
||||
|
||||
auto & left = m_color ? SW : NW;
|
||||
auto & right = m_color ? SE : NE;
|
||||
|
||||
for (auto& direction : filter(pin, { left, right })) {
|
||||
auto pos = makeStep(m_pos, direction);
|
||||
if (pos != INVALID_POS && state.board[pos] && state.board[pos]->color() != m_color) m_allowed.insert(pos);
|
||||
}
|
||||
|
||||
auto & forward = m_color ? S : N;
|
||||
if (!filter(pin, {forward}).empty()) {
|
||||
traverse(m_pos, forward, [&] (char pos) {
|
||||
if (!state.board[pos]) m_allowed.insert(pos);
|
||||
return state.board[pos] || !is_first_move();
|
||||
}, 2);
|
||||
}
|
||||
}
|
||||
|
||||
void Knight::reinit(const State& state) {
|
||||
if (m_pos == INVALID_POS) return;
|
||||
if (!m_update) return;
|
||||
m_update = false;
|
||||
m_allowed.clear();
|
||||
auto pin = findPin(*this, state);
|
||||
if (pin[R] != 0 || pin[F] != 0) return;
|
||||
for (auto& direction : { NNE, ENE, ESE, SSE, SSW, WSW, WNW, NNW }) {
|
||||
auto pos = makeStep(m_pos, direction);
|
||||
if (pos != INVALID_POS && (!state.board[pos] || state.board[pos]->color() != m_color)) m_allowed.insert(pos);
|
||||
}
|
||||
}
|
||||
|
||||
void Bishop::reinit(const State& state) {
|
||||
if (m_pos == INVALID_POS) return;
|
||||
if (!m_update) return;
|
||||
m_update = false;
|
||||
m_allowed.clear();
|
||||
auto pin = findPin(*this, state);
|
||||
for (auto& direction : filter(pin, { NE, SE, SW, NW })) {
|
||||
traverse(m_pos, direction, Add(state.board, m_allowed, m_color));
|
||||
}
|
||||
}
|
||||
|
||||
void Rook::reinit(const State& state) {
|
||||
if (m_pos == INVALID_POS) return;
|
||||
if (!m_update) return;
|
||||
m_update = false;
|
||||
m_allowed.clear();
|
||||
auto pin = findPin(*this, state);
|
||||
for (auto& direction : filter(pin, { N, E, S, W })) {
|
||||
traverse(m_pos, direction, Add(state.board, m_allowed, m_color));
|
||||
}
|
||||
}
|
||||
|
||||
void Queen::reinit(const State& state) {
|
||||
if (m_pos == INVALID_POS) return;
|
||||
if (!m_update) return;
|
||||
m_update = false;
|
||||
m_allowed.clear();
|
||||
auto pin = findPin(*this, state);
|
||||
for (auto& direction : filter(pin, { N, NE, E, SE, S, SW, W, NW })) {
|
||||
traverse(m_pos, direction, Add(state.board, m_allowed, m_color));
|
||||
}
|
||||
}
|
||||
|
||||
void King::reinit(const State& state) {
|
||||
if (m_pos == INVALID_POS) return;
|
||||
if (!m_update) return;
|
||||
m_update = false;
|
||||
m_allowed.clear();
|
||||
auto& enemyPieces = m_color ? state.whites : state.blacks;
|
||||
auto& pawnAttackLeft = m_color ? SW : NW;
|
||||
auto& pawnAttackRight = m_color ? SE : NE;
|
||||
for (auto& direction : { N, NE, E, SE, S, SW, W, NW }) {
|
||||
auto pos = makeStep(m_pos, direction);
|
||||
bool accept = pos != INVALID_POS && !(state.board[pos] && state.board[pos]->color() == m_color);
|
||||
if (accept) {
|
||||
for (auto& p : enemyPieces) {
|
||||
if (!p.movePattern(pos)) continue;
|
||||
if (p.type() == Piece::Knight || p.type() == Piece::King) {
|
||||
accept = false;
|
||||
break;
|
||||
}
|
||||
else if (p.type() == Piece::Pawn) {
|
||||
auto from = positions[pos];
|
||||
auto to = p.coord();
|
||||
Direction d {char(to[R] - from[R]), char(to[F] - from[F])};
|
||||
if (d == pawnAttackLeft || d == pawnAttackRight) {
|
||||
accept = false;
|
||||
break;
|
||||
}
|
||||
}
|
||||
else {
|
||||
auto from = positions[pos];
|
||||
auto to = p.coord();
|
||||
Direction d = normalize({char(to[R] - from[R]), char(to[F] - from[F])});
|
||||
auto reached = traverse(pos, d, Find(state.board));
|
||||
if (p.pos() == reached) {
|
||||
accept = false;
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
if (accept) m_allowed.insert(pos);
|
||||
}
|
||||
}
|
||||
|
||||
const char* Piece::name() const {
|
||||
static_assert(pieceNames.size() == Piece::NUM_PIECES, "Mismatch between piece names and types");
|
||||
return pieceNames[m_type];
|
||||
}
|
||||
|
||||
char Piece::initial() const {
|
||||
static_assert(blackShort.size() == Piece::NUM_PIECES, "Mismatch between piece names and types");
|
||||
static_assert(whiteShort.size() == Piece::NUM_PIECES, "Mismatch between piece names and types");
|
||||
return m_color ? blackShort[m_type] : whiteShort[m_type];
|
||||
}
|
||||
|
||||
void Piece::invalidate() {
|
||||
m_update = true;
|
||||
}
|
||||
|
||||
|
||||
const char* Piece::coord() const {
|
||||
if (m_pos == INVALID_POS) return "";
|
||||
return positions[m_pos];
|
||||
}
|
||||
|
||||
bool Piece::canReach(char pos) const {
|
||||
return movePattern(pos) && m_allowed.count(pos);
|
||||
}
|
||||
|
||||
void Piece::take() {
|
||||
m_pos = INVALID_POS;
|
||||
m_allowed = {};
|
||||
}
|
||||
|
||||
State::State()
|
||||
: blacks {
|
||||
{Piece::Black, "a7"_P, {"a5"_P, "a6"_P} },
|
||||
{Piece::Black, "b7"_P, {"b5"_P, "b6"_P} },
|
||||
{Piece::Black, "c7"_P, {"c5"_P, "c6"_P} },
|
||||
{Piece::Black, "d7"_P, {"d5"_P, "d6"_P} },
|
||||
{Piece::Black, "e7"_P, {"e5"_P, "e6"_P} },
|
||||
{Piece::Black, "f7"_P, {"f5"_P, "f6"_P} },
|
||||
{Piece::Black, "g7"_P, {"g5"_P, "g6"_P} },
|
||||
{Piece::Black, "h7"_P, {"h5"_P, "h6"_P} },
|
||||
{Piece::Black, "a8"_P},
|
||||
{Piece::Black, "b8"_P, {"a6"_P, "c6"_P} },
|
||||
{Piece::Black, "c8"_P},
|
||||
{Piece::Black, "d8"_P},
|
||||
{Piece::Black, "e8"_P},
|
||||
{Piece::Black, "f8"_P},
|
||||
{Piece::Black, "g8"_P, {"f6"_P, "h6"_P} },
|
||||
{Piece::Black, "h8"_P},
|
||||
}
|
||||
, whites {
|
||||
{Piece::White, "a2"_P, {"a3"_P, "a4"_P} },
|
||||
{Piece::White, "b2"_P, {"b3"_P, "b4"_P} },
|
||||
{Piece::White, "c2"_P, {"c3"_P, "c4"_P} },
|
||||
{Piece::White, "d2"_P, {"d3"_P, "d4"_P} },
|
||||
{Piece::White, "e2"_P, {"e3"_P, "e4"_P} },
|
||||
{Piece::White, "f2"_P, {"f3"_P, "f4"_P} },
|
||||
{Piece::White, "g2"_P, {"g3"_P, "g4"_P} },
|
||||
{Piece::White, "h2"_P, {"h3"_P, "h4"_P} },
|
||||
{Piece::White, "a1"_P},
|
||||
{Piece::White, "b1"_P, {"a3"_P, "c3"_P} },
|
||||
{Piece::White, "c1"_P},
|
||||
{Piece::White, "d1"_P},
|
||||
{Piece::White, "e1"_P},
|
||||
{Piece::White, "f1"_P},
|
||||
{Piece::White, "g1"_P, {"f3"_P, "h3"_P} },
|
||||
{Piece::White, "h1"_P},
|
||||
}
|
||||
, board {{
|
||||
&whites[ 8], &whites[ 9], &whites[10], &whites[11], &whites[12], &whites[13], &whites[14], &whites[15],
|
||||
&whites[ 0], &whites[ 1], &whites[ 2], &whites[ 3], &whites[ 4], &whites[ 5], &whites[ 6], &whites[ 7],
|
||||
nullptr, nullptr, nullptr, nullptr, nullptr, nullptr, nullptr, nullptr,
|
||||
nullptr, nullptr, nullptr, nullptr, nullptr, nullptr, nullptr, nullptr,
|
||||
nullptr, nullptr, nullptr, nullptr, nullptr, nullptr, nullptr, nullptr,
|
||||
nullptr, nullptr, nullptr, nullptr, nullptr, nullptr, nullptr, nullptr,
|
||||
&blacks[ 0], &blacks[ 1], &blacks[ 2], &blacks[ 3], &blacks[ 4], &blacks[ 5], &blacks[ 6], &blacks[ 7],
|
||||
&blacks[ 8], &blacks[ 9], &blacks[10], &blacks[11], &blacks[12], &blacks[13], &blacks[14], &blacks[15],
|
||||
}}
|
||||
{}
|
||||
|
||||
Chessboard::Chessboard()
|
||||
: m_state(new State())
|
||||
{
|
||||
setGrammar();
|
||||
}
|
||||
|
||||
Chessboard::~Chessboard() = default;
|
||||
|
||||
void Chessboard::setPrompt(const std::string& prompt) {
|
||||
m_prompt = prompt;
|
||||
setGrammar();
|
||||
}
|
||||
|
||||
void Chessboard::setGrammar() {
|
||||
m_grammar.clear();
|
||||
|
||||
std::string result;
|
||||
if (m_prompt.empty()) {
|
||||
result += "move ::= \" \" ((piece | frompos) \" \" \"to \"?)? topos\n";
|
||||
//result += "move ::= \" \" frompos \" \" \"to \"? topos\n";
|
||||
}
|
||||
else {
|
||||
// result += "move ::= prompt \" \" ((piece | frompos) \" \" \"to \"?)? topos\n"
|
||||
result += "move ::= prompt \" \" frompos \" \" \"to \"? topos\n"
|
||||
"prompt ::= \" " + m_prompt + "\"\n";
|
||||
}
|
||||
|
||||
std::set<Piece::Types> pieceTypes;
|
||||
std::set<char> from_pos;
|
||||
std::set<char> to_pos;
|
||||
auto& pieces = m_moveCounter % 2 ? m_state->blacks : m_state->whites;
|
||||
std::set<size_t> flags;
|
||||
for (auto& p : pieces) {
|
||||
if (p.allowed().empty()) continue;
|
||||
bool addPiece = false;
|
||||
if (!m_inCheck || p.type() == Piece::King) {
|
||||
to_pos.insert(p.allowed().begin(), p.allowed().end());
|
||||
addPiece = !p.allowed().empty();
|
||||
}
|
||||
else {
|
||||
for (auto move : p.allowed()) {
|
||||
if (m_allowedInCheck.count(move)) {
|
||||
to_pos.insert(move);
|
||||
addPiece = true;
|
||||
}
|
||||
}
|
||||
}
|
||||
if (addPiece) {
|
||||
pieceTypes.insert(p.type());
|
||||
from_pos.insert(p.pos());
|
||||
}
|
||||
}
|
||||
if (pieceTypes.empty()) return;
|
||||
|
||||
result += "piece ::= (";
|
||||
for (auto& p : pieceTypes) result += " \"" + std::string(pieceNames[p]) + "\" |";
|
||||
result.pop_back();
|
||||
result += ")\n\n";
|
||||
|
||||
result += "frompos ::= (";
|
||||
for (auto& p : from_pos) result += " \"" + std::string(positions[p]) + "\" |";
|
||||
result.pop_back();
|
||||
result += ")\n";
|
||||
|
||||
result += "topos ::= (";
|
||||
for (auto& p : to_pos) result += " \"" + std::string(positions[p]) + "\" |";
|
||||
result.pop_back();
|
||||
result += ")\n";
|
||||
|
||||
m_grammar = std::move(result);
|
||||
}
|
||||
|
||||
std::string Chessboard::stringifyBoard() {
|
||||
std::string result;
|
||||
result.reserve(16 + 2 * 64 + 16);
|
||||
for (char rank = 'a'; rank <= 'h'; ++rank) {
|
||||
result.push_back(rank);
|
||||
result.push_back(' ');
|
||||
}
|
||||
result.back() = '\n';
|
||||
for (int i = 7; i >= 0; --i) {
|
||||
for (int j = 0; j < 8; ++j) {
|
||||
auto p = m_state->board[i * 8 + j];
|
||||
if (p) result.push_back(p->initial());
|
||||
else result.push_back((i + j) % 2 ? '.' : '*');
|
||||
result.push_back(' ');
|
||||
}
|
||||
result.push_back('0' + i + 1);
|
||||
result.push_back('\n');
|
||||
}
|
||||
return result;
|
||||
}
|
||||
|
||||
std::string Chessboard::process(const std::string& command) {
|
||||
const auto t_start = std::chrono::high_resolution_clock::now();
|
||||
auto color = Piece::Colors(m_moveCounter % 2);
|
||||
Piece* piece = nullptr;
|
||||
auto pos_to = INVALID_POS;
|
||||
if (!parseCommand(command, piece, pos_to)) return "";
|
||||
|
||||
auto pos_from = piece->pos();
|
||||
|
||||
if (!move(*piece, pos_to)) return "";
|
||||
|
||||
flagUpdates(pos_from, pos_to);
|
||||
|
||||
detectChecks();
|
||||
|
||||
auto& enemyPieces = color ? m_state->whites : m_state->blacks;
|
||||
for (auto& p : enemyPieces) p.reinit(*m_state); // only enemy moves needed next
|
||||
|
||||
std::string result = {positions[pos_from][R], positions[pos_from][F], '-', positions[pos_to][R], positions[pos_to][F]};
|
||||
++m_moveCounter;
|
||||
setGrammar();
|
||||
const auto t_end = std::chrono::high_resolution_clock::now();
|
||||
auto t_ms = std::chrono::duration_cast<std::chrono::milliseconds>(t_end - t_start).count();
|
||||
fprintf(stdout, "%s: Move '%s%s%s', (t = %d ms)\n", __func__, "\033[1m", result.data(), "\033[0m", (int) t_ms);
|
||||
if (m_grammar.empty()) result.push_back('#');
|
||||
return result;
|
||||
}
|
||||
|
||||
bool Chessboard::parseCommand(const std::string& command, Piece*& piece, char& pos_to) {
|
||||
auto color = Piece::Colors(m_moveCounter % 2);
|
||||
fprintf(stdout, "%s: Command to %s: '%s%.*s%s'\n", __func__, (color ? "Black" : "White"), "\033[1m", int(command.size()), command.data(), "\033[0m");
|
||||
|
||||
if (command.empty()) return false;
|
||||
auto tokens = split(command, ' ');
|
||||
auto pos_from = INVALID_POS;
|
||||
auto type = Piece::Types::NUM_PIECES;
|
||||
if (tokens.size() == 1) {
|
||||
type = Piece::Types::Pawn;
|
||||
pos_to = strToPos(tokens.front());
|
||||
}
|
||||
else {
|
||||
pos_from = strToPos(tokens.front());
|
||||
if (pos_from == INVALID_POS) type = Piece::Types(strToType(tokens.front()));
|
||||
pos_to = strToPos(tokens.back());
|
||||
}
|
||||
if (pos_to == INVALID_POS) return false;
|
||||
if (pos_from == INVALID_POS) {
|
||||
if (type == Piece::Types::NUM_PIECES) return false;
|
||||
auto& pieces = color ? m_state->blacks : m_state->whites;
|
||||
for (auto& p : pieces) {
|
||||
if (p.type() == type && p.canReach(pos_to)) {
|
||||
pos_from = p.pos();
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
if (pos_from == INVALID_POS) return false;
|
||||
if (m_state->board[pos_from] == nullptr) return false;
|
||||
piece = m_state->board[pos_from];
|
||||
if (piece->color() != color) return false;
|
||||
return true;
|
||||
}
|
||||
|
||||
void Chessboard::flagUpdates(char pos_from, char pos_to) {
|
||||
auto color = Piece::Colors(m_moveCounter % 2);
|
||||
auto& enemyPieces = color ? m_state->whites : m_state->blacks;
|
||||
auto& ownPieces = color ? m_state->blacks : m_state->whites;
|
||||
for (auto& p : enemyPieces) {
|
||||
if (p.movePattern(pos_to) || p.movePattern(pos_from)) {
|
||||
updatePins(p);
|
||||
p.invalidate();
|
||||
}
|
||||
}
|
||||
|
||||
for (auto& p : ownPieces) {
|
||||
if (p.movePattern(pos_to) || p.movePattern(pos_from)) {
|
||||
updatePins(p);
|
||||
p.invalidate();
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
void Chessboard::updatePins(Piece& piece) {
|
||||
if (piece.type() == Piece::Pawn || piece.type() == Piece::Knight || piece.type() == Piece::King) return;
|
||||
auto& enemyPieces = piece.color() ? m_state->whites : m_state->blacks;
|
||||
auto& enemyPins = piece.color() ? m_state->whitePins : m_state->blackPins;
|
||||
auto& king = enemyPieces.k;
|
||||
auto it = std::find_if(enemyPins.begin(), enemyPins.end(), [&] (const Pin& pin) { return pin.pinner == &piece; });
|
||||
if (it != enemyPins.end()) {
|
||||
it->pinned->invalidate();
|
||||
enemyPins.erase(it);
|
||||
}
|
||||
if (piece.movePattern(king.pos())) {
|
||||
auto to = positions[king.pos()];
|
||||
auto from = piece.coord();
|
||||
Direction d = normalize({char(to[R] - from[R]), char(to[F] - from[F])});
|
||||
|
||||
auto reached = traverse(piece.pos(), d, Find(m_state->board));
|
||||
auto foundPiece = m_state->board[reached];
|
||||
if (&king == foundPiece) {
|
||||
// check
|
||||
king.invalidate();
|
||||
}
|
||||
else if (foundPiece && foundPiece->color() != piece.color()) {
|
||||
reached = traverse(reached, d, Find(m_state->board));
|
||||
if (&king == m_state->board[reached]) {
|
||||
enemyPins.push_back({d, &piece, foundPiece});
|
||||
foundPiece->invalidate();
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
void Chessboard::detectChecks() {
|
||||
auto color = Piece::Colors(m_moveCounter % 2);
|
||||
auto& enemyPieces = color ? m_state->whites : m_state->blacks;
|
||||
auto& ownPieces = color ? m_state->blacks : m_state->whites;
|
||||
auto& king = enemyPieces.k;
|
||||
auto& pawnAttackLeft = color ? SW : NW;
|
||||
auto& pawnAttackRight = color ? SE : NE;
|
||||
for (auto& p : ownPieces) {
|
||||
if (!p.movePattern(king.pos())) continue;
|
||||
auto to = positions[king.pos()];
|
||||
auto from = p.coord();
|
||||
|
||||
if (p.type() == Piece::Knight) {
|
||||
if (!m_inCheck) {
|
||||
m_allowedInCheck = { p.pos() };
|
||||
}
|
||||
else {
|
||||
m_allowedInCheck.clear();
|
||||
}
|
||||
m_inCheck = true;
|
||||
}
|
||||
else if (p.type() == Piece::Pawn) {
|
||||
Direction d {char(to[R] - from[R]), char(to[F] - from[F])};
|
||||
if (d == pawnAttackLeft || d == pawnAttackRight) {
|
||||
if (!m_inCheck) {
|
||||
m_allowedInCheck = { p.pos() };
|
||||
}
|
||||
else {
|
||||
m_allowedInCheck.clear();
|
||||
}
|
||||
m_inCheck = true;
|
||||
}
|
||||
}
|
||||
else {
|
||||
Direction d = normalize({char(to[R] - from[R]), char(to[F] - from[F])});
|
||||
std::set<char> tmp;
|
||||
auto pos = traverse(p.pos(), d, Add(m_state->board, tmp, king.color()));
|
||||
if (pos == king.pos()) {
|
||||
tmp.insert(p.pos());
|
||||
if (!m_inCheck) {
|
||||
m_allowedInCheck = std::move(tmp);
|
||||
}
|
||||
else {
|
||||
m_allowedInCheck.clear();
|
||||
}
|
||||
m_inCheck = true;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
bool Chessboard::move(Piece& piece, char pos_to) {
|
||||
auto& allowed = piece.allowed();
|
||||
|
||||
if (allowed.count(pos_to) == 0 || (m_inCheck && piece.type() != Piece::King && m_allowedInCheck.count(pos_to) == 0)) return false;
|
||||
if (m_state->board[pos_to] && m_state->board[pos_to]->color() == piece.color()) return false;
|
||||
if (m_state->board[pos_to]) m_state->board[pos_to]->take();
|
||||
m_state->board[piece.pos()] = nullptr;
|
||||
m_state->board[pos_to] = &piece;
|
||||
piece.setPos(pos_to);
|
||||
|
||||
m_inCheck = false;
|
||||
m_allowedInCheck.clear();
|
||||
|
||||
return true;
|
||||
}
|
@ -1,33 +0,0 @@
|
||||
#pragma once
|
||||
#include <string>
|
||||
#include <set>
|
||||
#include <memory>
|
||||
|
||||
// just basic validation
|
||||
// fixme: missing en passant, castling, promotion, etc.
|
||||
struct State;
|
||||
class Piece;
|
||||
class Chessboard {
|
||||
public:
|
||||
Chessboard();
|
||||
~Chessboard();
|
||||
std::string process(const std::string& command);
|
||||
std::string stringifyBoard();
|
||||
const std::string& grammar() { return m_grammar; }
|
||||
const std::string& prompt() { return m_prompt; }
|
||||
void setPrompt(const std::string& prompt);
|
||||
private:
|
||||
bool parseCommand(const std::string& command, Piece*& piece, char& pos_to);
|
||||
bool move(Piece& piece, char pos);
|
||||
void flagUpdates(char pos_from, char pos_to);
|
||||
void updatePins(Piece& piece);
|
||||
void detectChecks();
|
||||
void setGrammar();
|
||||
|
||||
std::unique_ptr<State> m_state;
|
||||
std::set<char> m_allowedInCheck;
|
||||
bool m_inCheck = false;
|
||||
int m_moveCounter = 0;
|
||||
std::string m_grammar;
|
||||
std::string m_prompt;
|
||||
};
|
@ -1,193 +0,0 @@
|
||||
#include "WChess.h"
|
||||
#include "Chessboard.h"
|
||||
#include "grammar-parser.h"
|
||||
#include "common.h"
|
||||
#include <thread>
|
||||
|
||||
WChess::WChess(whisper_context * ctx,
|
||||
const whisper_full_params & wparams,
|
||||
callbacks cb,
|
||||
settings s)
|
||||
: m_ctx(ctx)
|
||||
, m_wparams(wparams)
|
||||
, m_cb(cb)
|
||||
, m_settings(s)
|
||||
, m_board(new Chessboard())
|
||||
{}
|
||||
|
||||
WChess::~WChess() = default;
|
||||
|
||||
void WChess::set_move(const std::string& moves, float prob) const {
|
||||
if (m_cb.set_move) (*m_cb.set_move)(moves, prob);
|
||||
}
|
||||
|
||||
void WChess::set_grammar(const std::string& grammar) const {
|
||||
if (m_cb.set_grammar) (*m_cb.set_grammar)(grammar);
|
||||
}
|
||||
|
||||
bool WChess::get_audio(std::vector<float>& pcmf32) const {
|
||||
if (m_cb.get_audio) return (*m_cb.get_audio)(pcmf32);
|
||||
return false;
|
||||
}
|
||||
|
||||
std::string WChess::stringify_board() const {
|
||||
return m_board->stringifyBoard();
|
||||
}
|
||||
|
||||
std::string WChess::get_grammar() const {
|
||||
return m_board->grammar();
|
||||
}
|
||||
|
||||
void WChess::run() {
|
||||
bool have_prompt = true;
|
||||
bool ask_prompt = !have_prompt;
|
||||
|
||||
float logprob_min = 0.0f;
|
||||
|
||||
float logprob_sum = 0.0f;
|
||||
|
||||
int n_tokens = 0;
|
||||
|
||||
std::vector<float> pcmf32_cur;
|
||||
std::vector<float> pcmf32_prompt;
|
||||
|
||||
const std::string k_prompt = have_prompt ? "" : "rook to d4, f3";
|
||||
int64_t t_ms = 0;
|
||||
|
||||
if (ask_prompt) {
|
||||
fprintf(stdout, "\n");
|
||||
fprintf(stdout, "%s: Say the following phrase: '%s%s%s'\n", __func__, "\033[1m", k_prompt.c_str(), "\033[0m");
|
||||
fprintf(stdout, "\n");
|
||||
|
||||
ask_prompt = false;
|
||||
}
|
||||
|
||||
while (get_audio(pcmf32_cur)) {
|
||||
if (!pcmf32_cur.empty()) {
|
||||
// fprintf(stdout, "%s: Processing ...\n", __func__);
|
||||
|
||||
if (!have_prompt) {
|
||||
const auto txt = ::trim(transcribe(pcmf32_cur, logprob_min, logprob_sum, n_tokens, t_ms));
|
||||
|
||||
fprintf(stdout, "%s: Heard '%s%s%s', (t = %d ms)\n", __func__, "\033[1m", txt.c_str(), "\033[0m", (int) t_ms);
|
||||
|
||||
const float sim = similarity(txt, k_prompt);
|
||||
|
||||
if (txt.length() < 0.8*k_prompt.length() || txt.length() > 1.2*k_prompt.length() || sim < 0.8f) {
|
||||
fprintf(stdout, "%s: WARNING: prompt not recognized, try again\n", __func__);
|
||||
ask_prompt = true;
|
||||
} else {
|
||||
fprintf(stdout, "\n");
|
||||
fprintf(stdout, "%s: The prompt has been recognized!\n", __func__);
|
||||
fprintf(stdout, "%s: Waiting for voice commands ...\n", __func__);
|
||||
fprintf(stdout, "\n");
|
||||
|
||||
// save the audio for the prompt
|
||||
pcmf32_prompt = pcmf32_cur;
|
||||
have_prompt = true;
|
||||
m_board->setPrompt(k_prompt);
|
||||
}
|
||||
} else {
|
||||
if (!pcmf32_prompt.empty()) pcmf32_cur.insert(pcmf32_cur.begin(), pcmf32_prompt.begin(), pcmf32_prompt.end());
|
||||
constexpr size_t MIN_SIZE = 1.2 * WHISPER_SAMPLE_RATE;
|
||||
if (MIN_SIZE > pcmf32_cur.size()) pcmf32_cur.insert(pcmf32_cur.begin(), MIN_SIZE - pcmf32_cur.size(), 0.0f);
|
||||
|
||||
// fprintf(stdout, "%s: grammar rules:\n'%s'\n", __func__, m_board->grammar().c_str());
|
||||
|
||||
auto grammar_parsed = grammar_parser::parse(m_board->grammar().c_str());
|
||||
auto grammar_rules = grammar_parsed.c_rules();
|
||||
|
||||
m_wparams.grammar_rules = grammar_rules.data();
|
||||
m_wparams.n_grammar_rules = grammar_rules.size();
|
||||
|
||||
m_wparams.i_start_rule = grammar_parsed.symbol_ids.at("move");
|
||||
auto txt = ::trim(transcribe(pcmf32_cur, logprob_min, logprob_sum, n_tokens, t_ms));
|
||||
|
||||
const float p = 100.0f * std::exp(logprob_min);
|
||||
|
||||
fprintf(stdout, "%s: heard '%s'\n", __func__, txt.c_str());
|
||||
|
||||
// find the prompt in the text
|
||||
float best_sim = 0.0f;
|
||||
size_t best_len = 0;
|
||||
for (int n = 0.8*k_prompt.size(); n <= 1.2*k_prompt.size(); ++n) {
|
||||
const auto prompt = txt.substr(0, n);
|
||||
|
||||
const float sim = similarity(prompt, k_prompt);
|
||||
|
||||
//fprintf(stderr, "%s: prompt = '%s', sim = %f\n", __func__, prompt.c_str(), sim);
|
||||
|
||||
if (sim > best_sim) {
|
||||
best_sim = sim;
|
||||
best_len = n;
|
||||
}
|
||||
}
|
||||
|
||||
fprintf(stdout, "%s: DEBUG: txt = '%s', prob = %.2f%%\n", __func__, txt.c_str(), p);
|
||||
std::string command = ::trim(txt.substr(best_len));
|
||||
|
||||
fprintf(stdout, "%s: Command '%s%s%s', (t = %d ms)\n", __func__, "\033[1m", command.c_str(), "\033[0m", (int) t_ms);
|
||||
fprintf(stdout, "\n");
|
||||
|
||||
if (!command.empty()) {
|
||||
set_move(m_board->process(command), p);
|
||||
set_grammar(m_board->grammar());
|
||||
}
|
||||
if (m_board->grammar().empty()) {
|
||||
fprintf(stdout, "%s: No more moves possible\n", __func__);
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if (ask_prompt) {
|
||||
fprintf(stdout, "\n");
|
||||
fprintf(stdout, "%s: Say the following phrase: '%s%s%s'\n", __func__, "\033[1m", k_prompt.c_str(), "\033[0m");
|
||||
fprintf(stdout, "\n");
|
||||
|
||||
ask_prompt = false;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
std::string WChess::transcribe(
|
||||
const std::vector<float> & pcmf32,
|
||||
float & logprob_min,
|
||||
float & logprob_sum,
|
||||
int & n_tokens,
|
||||
int64_t & t_ms) {
|
||||
const auto t_start = std::chrono::high_resolution_clock::now();
|
||||
|
||||
logprob_min = 0.0f;
|
||||
logprob_sum = 0.0f;
|
||||
n_tokens = 0;
|
||||
t_ms = 0;
|
||||
|
||||
if (whisper_full(m_ctx, m_wparams, pcmf32.data(), pcmf32.size()) != 0) {
|
||||
return {};
|
||||
}
|
||||
|
||||
std::string result;
|
||||
|
||||
const int n_segments = whisper_full_n_segments(m_ctx);
|
||||
for (int i = 0; i < n_segments; ++i) {
|
||||
const char * text = whisper_full_get_segment_text(m_ctx, i);
|
||||
|
||||
result += text;
|
||||
|
||||
const int n = whisper_full_n_tokens(m_ctx, i);
|
||||
for (int j = 0; j < n; ++j) {
|
||||
const auto token = whisper_full_get_token_data(m_ctx, i, j);
|
||||
|
||||
if(token.plog > 0.0f) return {};
|
||||
logprob_min = std::min(logprob_min, token.plog);
|
||||
logprob_sum += token.plog;
|
||||
++n_tokens;
|
||||
}
|
||||
}
|
||||
|
||||
const auto t_end = std::chrono::high_resolution_clock::now();
|
||||
t_ms = std::chrono::duration_cast<std::chrono::milliseconds>(t_end - t_start).count();
|
||||
|
||||
return result;
|
||||
}
|
@ -1,63 +0,0 @@
|
||||
#pragma once
|
||||
#include "whisper.h"
|
||||
#include <string>
|
||||
#include <vector>
|
||||
#include <memory>
|
||||
|
||||
class Chessboard;
|
||||
|
||||
class WChess {
|
||||
public:
|
||||
using CheckRunningCb = bool (*)();
|
||||
using GetAudioCb = bool (*)(std::vector<float> &);
|
||||
using SetMovesCb = void (*)(const std::string &, float);
|
||||
using SetGrammarCb = void (*)(const std::string &);
|
||||
using ClearAudioCb = void (*)();
|
||||
|
||||
struct callbacks {
|
||||
GetAudioCb get_audio = nullptr;
|
||||
SetMovesCb set_move = nullptr;
|
||||
SetGrammarCb set_grammar = nullptr;
|
||||
};
|
||||
|
||||
struct settings {
|
||||
int32_t vad_ms = 2000;
|
||||
int32_t prompt_ms = 5000;
|
||||
int32_t command_ms = 4000;
|
||||
float vad_thold = 0.2f;
|
||||
float freq_thold = 100.0f;
|
||||
bool print_energy = false;
|
||||
};
|
||||
|
||||
WChess(
|
||||
whisper_context * ctx,
|
||||
const whisper_full_params & wparams,
|
||||
callbacks cb,
|
||||
settings s
|
||||
);
|
||||
~WChess();
|
||||
|
||||
void run();
|
||||
|
||||
std::string stringify_board() const;
|
||||
|
||||
std::string get_grammar() const;
|
||||
|
||||
private:
|
||||
bool get_audio(std::vector<float>& pcmf32) const;
|
||||
void set_move(const std::string& moves, float prob) const;
|
||||
void set_grammar(const std::string& grammar) const;
|
||||
|
||||
std::string transcribe(
|
||||
const std::vector<float> & pcmf32,
|
||||
float & logprob_min,
|
||||
float & logprob_sum,
|
||||
int & n_tokens,
|
||||
int64_t & t_ms);
|
||||
|
||||
whisper_context * m_ctx;
|
||||
whisper_full_params m_wparams;
|
||||
const callbacks m_cb;
|
||||
const settings m_settings;
|
||||
std::unique_ptr<Chessboard> m_board;
|
||||
};
|
@ -1,117 +0,0 @@
|
||||
#include "Chessboard.h"
|
||||
|
||||
#define ASSERT(x) \
|
||||
do { \
|
||||
if (!(x)) { \
|
||||
fprintf(stderr, "ASSERT: %s:%d: %s\n", __FILE__, __LINE__, #x); \
|
||||
fflush(stderr); \
|
||||
exit(1); \
|
||||
} \
|
||||
} while (0)
|
||||
|
||||
|
||||
int main() {
|
||||
{
|
||||
Chessboard chess;
|
||||
|
||||
ASSERT(chess.process("pawn to d4") == "d2-d4");
|
||||
ASSERT(chess.process("e5") == "e7-e5");
|
||||
ASSERT(chess.process("c1 h6") == "c1-h6");
|
||||
ASSERT(chess.process("queen h4") == "d8-h4");
|
||||
ASSERT(chess.process("bishop to g5") == "h6-g5");
|
||||
ASSERT(chess.process("bishop to b4") == "f8-b4");
|
||||
ASSERT(chess.process("c4") == "");
|
||||
ASSERT(chess.process("knight c3") == "b1-c3");
|
||||
ASSERT(chess.process("knight c6") == "b8-c6");
|
||||
ASSERT(chess.process("f3") == "");
|
||||
}
|
||||
|
||||
{
|
||||
Chessboard chess;
|
||||
|
||||
ASSERT(chess.process("d4") == "d2-d4");
|
||||
ASSERT(chess.process("e5") == "e7-e5");
|
||||
ASSERT(chess.process("e4") == "e2-e4");
|
||||
ASSERT(chess.process("queen h4") == "d8-h4");
|
||||
ASSERT(chess.process("queen h5") == "d1-h5");
|
||||
ASSERT(chess.process("f5") == "");
|
||||
ASSERT(chess.process("g6") == "g7-g6");
|
||||
ASSERT(chess.process("knight e2") == "g1-e2");
|
||||
ASSERT(chess.process("f5") == "f7-f5");
|
||||
ASSERT(chess.process("knight g3") == "e2-g3");
|
||||
ASSERT(chess.process("g5") == "");
|
||||
ASSERT(chess.process("king e7") == "e8-e7");
|
||||
ASSERT(chess.process("f4") == "f2-f4");
|
||||
ASSERT(chess.process("g5") == "g6-g5");
|
||||
}
|
||||
|
||||
{
|
||||
Chessboard chess;
|
||||
|
||||
ASSERT(chess.process("e4") == "e2-e4");
|
||||
ASSERT(chess.process("c5") == "c7-c5");
|
||||
ASSERT(chess.process("e5") == "e4-e5");
|
||||
ASSERT(chess.process("c4") == "c5-c4");
|
||||
ASSERT(chess.process("e6") == "e5-e6");
|
||||
ASSERT(chess.process("c3") == "c4-c3");
|
||||
ASSERT(chess.process("e7") == "");
|
||||
ASSERT(chess.process("f7") == "e6-f7");
|
||||
ASSERT(chess.process("d2") == "");
|
||||
ASSERT(chess.process("king to f7") == "e8-f7");
|
||||
ASSERT(chess.process("f4") == "f2-f4");
|
||||
ASSERT(chess.process("d2") == "c3-d2");
|
||||
ASSERT(chess.process("f5") == "");
|
||||
ASSERT(chess.process("king to e2") == "e1-e2");
|
||||
ASSERT(chess.process("king to g6") == "f7-g6");
|
||||
ASSERT(chess.process("f5") == "f4-f5");
|
||||
ASSERT(chess.process("e6") == "");
|
||||
ASSERT(chess.process("king to h5") == "g6-h5");
|
||||
ASSERT(chess.process("g4") == "g2-g4");
|
||||
ASSERT(chess.process("king to g5") == "h5-g5");
|
||||
ASSERT(chess.process("h4") == "h2-h4");
|
||||
ASSERT(chess.process("king to h5") == "");
|
||||
ASSERT(chess.process("king to g6") == "");
|
||||
ASSERT(chess.process("king to h6") == "g5-h6");
|
||||
ASSERT(chess.process("bishop to d2") == "c1-d2");
|
||||
ASSERT(chess.process("king to g5") == "");
|
||||
ASSERT(chess.process("g5") == "g7-g5");
|
||||
}
|
||||
|
||||
{
|
||||
Chessboard chess;
|
||||
ASSERT(chess.process("f4") == "f2-f4");
|
||||
ASSERT(chess.process("e5") == "e7-e5");
|
||||
ASSERT(chess.process("g4") == "g2-g4");
|
||||
ASSERT(chess.process("queen to h4") == "d8-h4#");
|
||||
ASSERT(chess.process("knight f3") == "");
|
||||
ASSERT(chess.grammar().empty());
|
||||
}
|
||||
|
||||
{
|
||||
Chessboard chess;
|
||||
ASSERT(chess.process("f4") == "f2-f4");
|
||||
ASSERT(chess.process("e5") == "e7-e5");
|
||||
ASSERT(chess.process("g4") == "g2-g4");
|
||||
ASSERT(chess.process("d5") == "d7-d5");
|
||||
ASSERT(chess.process("g1 f3") == "g1-f3");
|
||||
ASSERT(chess.process("queen to h4") == "d8-h4");
|
||||
ASSERT(!chess.grammar().empty());
|
||||
}
|
||||
|
||||
{
|
||||
Chessboard chess;
|
||||
ASSERT(chess.process("knight c3") == "b1-c3");
|
||||
ASSERT(chess.process("knight c6") == "b8-c6");
|
||||
ASSERT(chess.process("knight b5") == "c3-b5");
|
||||
ASSERT(chess.process("knight f6") == "g8-f6");
|
||||
ASSERT(chess.process("knight d6") == "b5-d6");
|
||||
ASSERT(chess.process("knight d4") == "");
|
||||
ASSERT(chess.process("d6") == "c7-d6");
|
||||
ASSERT(chess.process("e4") == "e2-e4");
|
||||
ASSERT(chess.process("knight d4") == "c6-d4");
|
||||
ASSERT(chess.process("d3") == "d2-d3");
|
||||
ASSERT(chess.process("knight e4") == "f6-e4");
|
||||
ASSERT(chess.process("king to e2") == "");
|
||||
ASSERT(chess.process("king to d2") == "");
|
||||
}
|
||||
}
|
@ -1,8 +0,0 @@
|
||||
if (WHISPER_SDL2)
|
||||
set(TARGET wchess)
|
||||
add_executable(${TARGET} wchess.cmd.cpp)
|
||||
|
||||
include(DefaultTargetOptions)
|
||||
|
||||
target_link_libraries(${TARGET} PRIVATE wchess-core common-sdl ${CMAKE_THREAD_LIBS_INIT})
|
||||
endif ()
|
@ -1,247 +0,0 @@
|
||||
// Command line voice assisted chess
|
||||
//
|
||||
// Speak chess move commands to the microphone.
|
||||
// The moves will translated to chessboard positions.
|
||||
//
|
||||
//
|
||||
|
||||
#include "WChess.h"
|
||||
#include "common-sdl.h"
|
||||
#include <iostream>
|
||||
|
||||
#include <memory>
|
||||
#include <thread>
|
||||
|
||||
// command-line parameters
|
||||
struct whisper_params {
|
||||
int32_t n_threads = std::min(4, (int32_t) std::thread::hardware_concurrency());
|
||||
int32_t prompt_ms = 5000;
|
||||
int32_t command_ms = 8000;
|
||||
int32_t capture_id = -1;
|
||||
int32_t max_tokens = 32;
|
||||
int32_t audio_ctx = 0;
|
||||
|
||||
float vad_thold = 0.6f;
|
||||
float freq_thold = 100.0f;
|
||||
|
||||
float grammar_penalty = 100.0f;
|
||||
|
||||
bool speed_up = false;
|
||||
bool translate = false;
|
||||
bool print_special = false;
|
||||
bool print_energy = false;
|
||||
bool no_timestamps = true;
|
||||
bool use_gpu = true;
|
||||
|
||||
std::string language = "en";
|
||||
std::string model = "models/ggml-base.en.bin";
|
||||
std::string fname_out;
|
||||
std::string commands;
|
||||
std::string prompt;
|
||||
std::string context;
|
||||
std::string grammar;
|
||||
};
|
||||
|
||||
void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & params) {
|
||||
fprintf(stderr, "\n");
|
||||
fprintf(stderr, "usage: %s [options]\n", argv[0]);
|
||||
fprintf(stderr, "\n");
|
||||
fprintf(stderr, "options:\n");
|
||||
fprintf(stderr, " -h, --help [default] show this help message and exit\n");
|
||||
fprintf(stderr, " -t N, --threads N [%-7d] number of threads to use during computation\n", params.n_threads);
|
||||
fprintf(stderr, " -pms N, --prompt-ms N [%-7d] prompt duration in milliseconds\n", params.prompt_ms);
|
||||
fprintf(stderr, " -cms N, --command-ms N [%-7d] command duration in milliseconds\n", params.command_ms);
|
||||
fprintf(stderr, " -c ID, --capture ID [%-7d] capture device ID\n", params.capture_id);
|
||||
fprintf(stderr, " -mt N, --max-tokens N [%-7d] maximum number of tokens per audio chunk\n", params.max_tokens);
|
||||
fprintf(stderr, " -ac N, --audio-ctx N [%-7d] audio context size (0 - all)\n", params.audio_ctx);
|
||||
fprintf(stderr, " -vth N, --vad-thold N [%-7.2f] voice activity detection threshold\n", params.vad_thold);
|
||||
fprintf(stderr, " -fth N, --freq-thold N [%-7.2f] high-pass frequency cutoff\n", params.freq_thold);
|
||||
fprintf(stderr, " -su, --speed-up [%-7s] speed up audio by x2 (reduced accuracy)\n", params.speed_up ? "true" : "false");
|
||||
fprintf(stderr, " -tr, --translate [%-7s] translate from source language to english\n", params.translate ? "true" : "false");
|
||||
fprintf(stderr, " -ps, --print-special [%-7s] print special tokens\n", params.print_special ? "true" : "false");
|
||||
fprintf(stderr, " -pe, --print-energy [%-7s] print sound energy (for debugging)\n", params.print_energy ? "true" : "false");
|
||||
fprintf(stderr, " -ng, --no-gpu [%-7s] disable GPU\n", params.use_gpu ? "false" : "true");
|
||||
fprintf(stderr, " -l LANG, --language LANG [%-7s] spoken language\n", params.language.c_str());
|
||||
fprintf(stderr, " -m FNAME, --model FNAME [%-7s] model path\n", params.model.c_str());
|
||||
fprintf(stderr, " -f FNAME, --file FNAME [%-7s] text output file name\n", params.fname_out.c_str());
|
||||
fprintf(stderr, " -cmd FNAME, --commands FNAME [%-7s] text file with allowed commands\n", params.commands.c_str());
|
||||
fprintf(stderr, " -p, --prompt [%-7s] the required activation prompt\n", params.prompt.c_str());
|
||||
fprintf(stderr, " -ctx, --context [%-7s] sample text to help the transcription\n", params.context.c_str());
|
||||
fprintf(stderr, " --grammar-penalty N [%-7.1f] scales down logits of nongrammar tokens\n", params.grammar_penalty);
|
||||
fprintf(stderr, "\n");
|
||||
}
|
||||
|
||||
bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
|
||||
for (int i = 1; i < argc; i++) {
|
||||
std::string arg = argv[i];
|
||||
|
||||
if (arg == "-h" || arg == "--help") {
|
||||
whisper_print_usage(argc, argv, params);
|
||||
exit(0);
|
||||
}
|
||||
else if (arg == "-t" || arg == "--threads") { params.n_threads = std::stoi(argv[++i]); }
|
||||
else if (arg == "-pms" || arg == "--prompt-ms") { params.prompt_ms = std::stoi(argv[++i]); }
|
||||
else if (arg == "-cms" || arg == "--command-ms") { params.command_ms = std::stoi(argv[++i]); }
|
||||
else if (arg == "-c" || arg == "--capture") { params.capture_id = std::stoi(argv[++i]); }
|
||||
else if (arg == "-mt" || arg == "--max-tokens") { params.max_tokens = std::stoi(argv[++i]); }
|
||||
else if (arg == "-ac" || arg == "--audio-ctx") { params.audio_ctx = std::stoi(argv[++i]); }
|
||||
else if (arg == "-vth" || arg == "--vad-thold") { params.vad_thold = std::stof(argv[++i]); }
|
||||
else if (arg == "-fth" || arg == "--freq-thold") { params.freq_thold = std::stof(argv[++i]); }
|
||||
else if (arg == "-su" || arg == "--speed-up") { params.speed_up = true; }
|
||||
else if (arg == "-tr" || arg == "--translate") { params.translate = true; }
|
||||
else if (arg == "-ps" || arg == "--print-special") { params.print_special = true; }
|
||||
else if (arg == "-pe" || arg == "--print-energy") { params.print_energy = true; }
|
||||
else if (arg == "-ng" || arg == "--no-gpu") { params.use_gpu = false; }
|
||||
else if (arg == "-l" || arg == "--language") { params.language = argv[++i]; }
|
||||
else if (arg == "-m" || arg == "--model") { params.model = argv[++i]; }
|
||||
else if (arg == "-f" || arg == "--file") { params.fname_out = argv[++i]; }
|
||||
else if (arg == "-cmd" || arg == "--commands") { params.commands = argv[++i]; }
|
||||
else if (arg == "-p" || arg == "--prompt") { params.prompt = argv[++i]; }
|
||||
else if (arg == "-ctx" || arg == "--context") { params.context = argv[++i]; }
|
||||
else if ( arg == "--grammar-penalty") { params.grammar_penalty = std::stof(argv[++i]); }
|
||||
else {
|
||||
fprintf(stderr, "error: unknown argument: %s\n", arg.c_str());
|
||||
whisper_print_usage(argc, argv, params);
|
||||
exit(0);
|
||||
}
|
||||
}
|
||||
|
||||
return true;
|
||||
}
|
||||
|
||||
std::unique_ptr<WChess> g_wchess;
|
||||
int g_moveCount = 0;
|
||||
void set_move(const std::string & move, float) {
|
||||
if (!move.empty()) {
|
||||
g_moveCount++;
|
||||
fprintf(stdout, "Move: %s\n\n", move.c_str());
|
||||
}
|
||||
else fprintf(stdout, "Move rejected\n\n");
|
||||
fprintf(stdout, "%s\n", g_wchess->stringify_board().c_str());
|
||||
fprintf(stdout, "%s\n", g_moveCount ? "White's turn" : "Black's turn");
|
||||
}
|
||||
|
||||
audio_async g_audio(30*1000);
|
||||
bool g_listening = false;
|
||||
std::vector<float> g_pcmf32;
|
||||
|
||||
bool read_input() {
|
||||
std::string input;
|
||||
while (true) {
|
||||
fprintf(stdout, "[(l)isten/(p)ause/(q)uit]: ");
|
||||
std::cin >> input;
|
||||
fprintf(stdout, "\n");
|
||||
if (input[0] == 'q') {
|
||||
fprintf(stdout, "Quitting\n");
|
||||
return false;
|
||||
}
|
||||
if (input[0] == 'l') {
|
||||
if (!g_listening) {
|
||||
fprintf(stdout, "Listening\n");
|
||||
g_listening = true;
|
||||
g_pcmf32.clear();
|
||||
g_audio.resume();
|
||||
g_audio.clear();
|
||||
}
|
||||
else fprintf(stdout, "Still listening\n");
|
||||
return true;
|
||||
}
|
||||
else {
|
||||
if (g_listening) {
|
||||
g_listening = false;
|
||||
g_audio.get(0, g_pcmf32);
|
||||
g_audio.pause();
|
||||
fprintf(stdout, "Processing\n");
|
||||
}
|
||||
else fprintf(stdout, "Not listening\n");
|
||||
return true;
|
||||
}
|
||||
}
|
||||
return true;
|
||||
}
|
||||
|
||||
bool get_audio(std::vector<float> & pcmf32_cur) {
|
||||
if (!read_input()) return false;
|
||||
if (!g_pcmf32.empty()) pcmf32_cur = std::move(g_pcmf32);
|
||||
else pcmf32_cur.clear();
|
||||
return true;
|
||||
}
|
||||
|
||||
int main(int argc, char ** argv) {
|
||||
whisper_params params;
|
||||
|
||||
if (whisper_params_parse(argc, argv, params) == false) {
|
||||
return 1;
|
||||
}
|
||||
|
||||
if (whisper_lang_id(params.language.c_str()) == -1) {
|
||||
fprintf(stderr, "error: unknown language '%s'\n", params.language.c_str());
|
||||
whisper_print_usage(argc, argv, params);
|
||||
exit(0);
|
||||
}
|
||||
|
||||
// whisper init
|
||||
|
||||
struct whisper_context_params cparams;
|
||||
cparams.use_gpu = params.use_gpu;
|
||||
|
||||
struct whisper_context * ctx = whisper_init_from_file_with_params(params.model.c_str(), cparams);
|
||||
if (!ctx) {
|
||||
fprintf(stderr, "%s: whisper_init_from_file_with_params() failed!\n", __func__);
|
||||
return 1;
|
||||
}
|
||||
|
||||
// init audio
|
||||
|
||||
if (!g_audio.init(params.capture_id, WHISPER_SAMPLE_RATE)) {
|
||||
fprintf(stderr, "%s: audio.init() failed!\n", __func__);
|
||||
return 1;
|
||||
}
|
||||
|
||||
struct whisper_full_params wparams = whisper_full_default_params(whisper_sampling_strategy::WHISPER_SAMPLING_GREEDY);
|
||||
wparams.offset_ms = 0;
|
||||
wparams.translate = false;
|
||||
wparams.no_context = true;
|
||||
wparams.single_segment = true;
|
||||
wparams.print_realtime = false;
|
||||
wparams.print_progress = false;
|
||||
wparams.print_timestamps = true;
|
||||
wparams.print_special = false;
|
||||
wparams.no_timestamps = true;
|
||||
|
||||
wparams.max_tokens = 32;
|
||||
wparams.audio_ctx = 768; // partial encoder context for better performance
|
||||
|
||||
wparams.temperature = 0.0f;
|
||||
wparams.temperature_inc = 2.0f;
|
||||
wparams.greedy.best_of = 1;
|
||||
|
||||
wparams.beam_search.beam_size = 1;
|
||||
|
||||
wparams.language = "en";
|
||||
|
||||
wparams.grammar_penalty = 100.0;
|
||||
|
||||
wparams.initial_prompt = params.context.data();
|
||||
|
||||
WChess::callbacks cb;
|
||||
cb.get_audio = get_audio;
|
||||
cb.set_move = set_move;
|
||||
|
||||
WChess::settings s;
|
||||
s.vad_ms = 2000;
|
||||
s.prompt_ms = params.prompt_ms;
|
||||
s.command_ms = params.command_ms;
|
||||
s.vad_thold = params.vad_thold;
|
||||
s.freq_thold = params.freq_thold;
|
||||
s.print_energy = params.print_energy;
|
||||
|
||||
g_wchess.reset(new WChess(ctx, wparams, cb, s));
|
||||
set_move("start", 0);
|
||||
g_wchess->run();
|
||||
|
||||
whisper_print_timings(ctx);
|
||||
whisper_free(ctx);
|
||||
|
||||
return 0;
|
||||
}
|
@ -1,51 +0,0 @@
|
||||
set(TARGET wchess.wasm)
|
||||
|
||||
add_executable(${TARGET}
|
||||
wchess.wasm.cpp
|
||||
)
|
||||
|
||||
include(DefaultTargetOptions)
|
||||
|
||||
target_link_libraries(${TARGET} PRIVATE
|
||||
common
|
||||
wchess-core
|
||||
)
|
||||
|
||||
unset(EXTRA_FLAGS)
|
||||
|
||||
if (WHISPER_WASM_SINGLE_FILE)
|
||||
set(EXTRA_FLAGS "-s SINGLE_FILE=1")
|
||||
message(STATUS "Embedding WASM inside chess.js")
|
||||
|
||||
add_custom_command(
|
||||
TARGET ${TARGET} POST_BUILD
|
||||
COMMAND ${CMAKE_COMMAND} -E copy
|
||||
${CMAKE_BINARY_DIR}/bin/${TARGET}.js
|
||||
${CMAKE_RUNTIME_OUTPUT_DIRECTORY}/${TARGET}/js/chess.js
|
||||
)
|
||||
endif()
|
||||
|
||||
set_target_properties(${TARGET} PROPERTIES LINK_FLAGS " \
|
||||
--bind \
|
||||
-s USE_PTHREADS=1 \
|
||||
-s PTHREAD_POOL_SIZE=8 \
|
||||
-s INITIAL_MEMORY=1024MB \
|
||||
-s TOTAL_MEMORY=1024MB \
|
||||
-s FORCE_FILESYSTEM=1 \
|
||||
-s EXPORTED_RUNTIME_METHODS=\"['print', 'printErr', 'ccall', 'cwrap']\" \
|
||||
${EXTRA_FLAGS} \
|
||||
")
|
||||
|
||||
|
||||
add_custom_command(
|
||||
TARGET ${TARGET} POST_BUILD
|
||||
COMMAND ${CMAKE_COMMAND} -E copy_directory
|
||||
${CMAKE_CURRENT_SOURCE_DIR}/chessboardjs-1.0.0
|
||||
${CMAKE_RUNTIME_OUTPUT_DIRECTORY}/${TARGET}/
|
||||
COMMAND ${CMAKE_COMMAND} -E copy
|
||||
${CMAKE_CURRENT_SOURCE_DIR}/jquery-3.7.1.min.js
|
||||
${CMAKE_RUNTIME_OUTPUT_DIRECTORY}/${TARGET}/js/
|
||||
)
|
||||
|
||||
configure_file(${CMAKE_CURRENT_SOURCE_DIR}/index-tmpl.html ${CMAKE_RUNTIME_OUTPUT_DIRECTORY}/${TARGET}/index.html @ONLY)
|
||||
configure_file(${CMAKE_SOURCE_DIR}/examples/helpers.js ${CMAKE_RUNTIME_OUTPUT_DIRECTORY}/${TARGET}/js/helpers.js @ONLY)
|
@ -1,54 +0,0 @@
|
||||
/*! chessboard.js v1.0.0 | (c) 2019 Chris Oakman | MIT License chessboardjs.com/license */
|
||||
|
||||
.clearfix-7da63 {
|
||||
clear: both;
|
||||
}
|
||||
|
||||
.board-b72b1 {
|
||||
border: 2px solid #404040;
|
||||
box-sizing: content-box;
|
||||
}
|
||||
|
||||
.square-55d63 {
|
||||
float: left;
|
||||
position: relative;
|
||||
|
||||
/* disable any native browser highlighting */
|
||||
-webkit-touch-callout: none;
|
||||
-webkit-user-select: none;
|
||||
-khtml-user-select: none;
|
||||
-moz-user-select: none;
|
||||
-ms-user-select: none;
|
||||
user-select: none;
|
||||
}
|
||||
|
||||
.white-1e1d7 {
|
||||
background-color: #f0d9b5;
|
||||
color: #b58863;
|
||||
}
|
||||
|
||||
.black-3c85d {
|
||||
background-color: #b58863;
|
||||
color: #f0d9b5;
|
||||
}
|
||||
|
||||
.highlight1-32417, .highlight2-9c5d2 {
|
||||
box-shadow: inset 0 0 3px 3px yellow;
|
||||
}
|
||||
|
||||
.notation-322f9 {
|
||||
cursor: default;
|
||||
font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
|
||||
font-size: 14px;
|
||||
position: absolute;
|
||||
}
|
||||
|
||||
.alpha-d2270 {
|
||||
bottom: 1px;
|
||||
right: 3px;
|
||||
}
|
||||
|
||||
.numeric-fc462 {
|
||||
top: 2px;
|
||||
left: 2px;
|
||||
}
|
@ -1,2 +0,0 @@
|
||||
/*! chessboard.js v1.0.0 | (c) 2019 Chris Oakman | MIT License chessboardjs.com/license */
|
||||
.clearfix-7da63{clear:both}.board-b72b1{border:2px solid #404040;box-sizing:content-box}.square-55d63{float:left;position:relative;-webkit-touch-callout:none;-webkit-user-select:none;-khtml-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none}.white-1e1d7{background-color:#f0d9b5;color:#b58863}.black-3c85d{background-color:#b58863;color:#f0d9b5}.highlight1-32417,.highlight2-9c5d2{box-shadow:inset 0 0 3px 3px #ff0}.notation-322f9{cursor:default;font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:14px;position:absolute}.alpha-d2270{bottom:1px;right:3px}.numeric-fc462{top:2px;left:2px}
|
Before Width: | Height: | Size: 1.4 KiB |
Before Width: | Height: | Size: 2.9 KiB |
Before Width: | Height: | Size: 1.8 KiB |
Before Width: | Height: | Size: 777 B |
Before Width: | Height: | Size: 2.6 KiB |
Before Width: | Height: | Size: 748 B |
Before Width: | Height: | Size: 2.3 KiB |
Before Width: | Height: | Size: 2.8 KiB |
Before Width: | Height: | Size: 2.3 KiB |
Before Width: | Height: | Size: 1.5 KiB |
Before Width: | Height: | Size: 3.7 KiB |
Before Width: | Height: | Size: 1.1 KiB |
@ -1,32 +0,0 @@
|
||||
# chessboard.js Change Log
|
||||
|
||||
All notable changes to this project will be documented in this file.
|
||||
|
||||
## [1.0.0] - 2019-06-11
|
||||
- Orientation methods now return current orientation. [Issue #64]
|
||||
- Drop support for IE8
|
||||
- Do not check for `window.JSON` (Error #1004)
|
||||
- Rename `ChessBoard` to `Chessboard` (`ChessBoard` is still supported, however)
|
||||
- id query selectors are now supported as the first argument to `Chessboard()`
|
||||
- Remove Error #1002
|
||||
- Format code according to [StandardJS]
|
||||
- Bump minimum jQuery version to 1.8.3
|
||||
- Throttle piece drag functions
|
||||
|
||||
## [0.3.0] - 2013-08-10
|
||||
- Added `appearSpeed` animation config property
|
||||
- Added `onSnapbackEnd` event
|
||||
- Added `onMoveEnd` event
|
||||
|
||||
## [0.2.0] - 2013-08-05
|
||||
- Added `onMouseoverSquare` and `onMouseoutSquare` events
|
||||
- Added `onSnapEnd` event
|
||||
- Added square code as CSS class on the squares
|
||||
- Added [chess.js] integration examples
|
||||
|
||||
## [0.1.0] - 2013-05-21
|
||||
- Initial release
|
||||
|
||||
[chess.js]:https://github.com/jhlywa/chess.js
|
||||
[Issue #64]:https://github.com/oakmac/chessboardjs/issues/64
|
||||
[StandardJS]:https://standardjs.com/
|
@ -1,20 +0,0 @@
|
||||
Copyright 2019 Chris Oakman
|
||||
|
||||
Permission is hereby granted, free of charge, to any person obtaining
|
||||
a copy of this software and associated documentation files (the
|
||||
"Software"), to deal in the Software without restriction, including
|
||||
without limitation the rights to use, copy, modify, merge, publish,
|
||||
distribute, sublicense, and/or sell copies of the Software, and to
|
||||
permit persons to whom the Software is furnished to do so, subject to
|
||||
the following conditions:
|
||||
|
||||
The above copyright notice and this permission notice shall be
|
||||
included in all copies or substantial portions of the Software.
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
|
||||
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
|
||||
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
|
||||
NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
|
||||
LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
|
||||
OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
|
||||
WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
|
@ -1,82 +0,0 @@
|
||||
# chessboard.js
|
||||
|
||||
chessboard.js is a JavaScript chessboard component. It depends on [jQuery].
|
||||
|
||||
Please see [chessboardjs.com] for documentation and examples.
|
||||
|
||||
## What is chessboard.js?
|
||||
|
||||
chessboard.js is a JavaScript chessboard component with a flexible "just a
|
||||
board" API that
|
||||
|
||||
chessboard.js is a standalone JavaScript Chess Board. It is designed to be "just
|
||||
a board" and expose a powerful API so that it can be used in different ways.
|
||||
Here's a non-exhaustive list of things you can do with chessboard.js:
|
||||
|
||||
- Use chessboard.js to show game positions alongside your expert commentary.
|
||||
- Use chessboard.js to have a tactics website where users have to guess the best
|
||||
move.
|
||||
- Integrate chessboard.js and [chess.js] with a PGN database and allow people to
|
||||
search and playback games (see [Example 5000])
|
||||
- Build a chess server and have users play their games out using the
|
||||
chessboard.js board.
|
||||
|
||||
chessboard.js is flexible enough to handle any of these situations with relative
|
||||
ease.
|
||||
|
||||
## What can chessboard.js **not** do?
|
||||
|
||||
The scope of chessboard.js is limited to "just a board." This is intentional and
|
||||
makes chessboard.js flexible for handling a multitude of chess-related problems.
|
||||
|
||||
This is a common source of confusion for new users. [remove?]
|
||||
|
||||
Specifically, chessboard.js does not understand anything about how the game of
|
||||
chess is played: how a knight moves, who's turn is it, is White in check?, etc.
|
||||
|
||||
Fortunately, the powerful [chess.js] library deals with exactly this sort of
|
||||
problem domain and plays nicely with chessboard.js's flexible API. Some examples
|
||||
of chessboard.js combined with chess.js: 5000, 5001, 5002
|
||||
|
||||
Please see the powerful [chess.js] library for an API to deal with these sorts
|
||||
of questions.
|
||||
|
||||
|
||||
This logic is distinct from the logic of the board. Please see the powerful
|
||||
[chess.js] library for this aspect of your application.
|
||||
|
||||
|
||||
|
||||
Here is a list of things that chessboard.js is **not**:
|
||||
|
||||
- A chess engine
|
||||
- A legal move validator
|
||||
- A PGN parser
|
||||
|
||||
chessboard.js is designed to work well with any of those things, but the idea
|
||||
behind chessboard.js is that the logic that controls the board should be
|
||||
independent of those other problems.
|
||||
|
||||
## Docs and Examples
|
||||
|
||||
- Docs - <http://chessboardjs.com/docs>
|
||||
- Examples - <http://chessboardjs.com/examples>
|
||||
|
||||
## Developer Tools
|
||||
|
||||
```sh
|
||||
# create a build in the build/ directory
|
||||
npm run build
|
||||
|
||||
# re-build the website
|
||||
npm run website
|
||||
```
|
||||
|
||||
## License
|
||||
|
||||
[MIT License](LICENSE.md)
|
||||
|
||||
[jQuery]:https://jquery.com/
|
||||
[chessboardjs.com]:http://chessboardjs.com
|
||||
[chess.js]:https://github.com/jhlywa/chess.js
|
||||
[Example 5000]:http://chessboardjs.com/examples#5000
|
@ -1,29 +0,0 @@
|
||||
{
|
||||
"author": "Chris Oakman <chris@oakmac.com> (http://chrisoakman.com/)",
|
||||
"name": "@chrisoakman/chessboardjs",
|
||||
"description": "JavaScript chessboard widget",
|
||||
"homepage": "https://chessboardjs.com",
|
||||
"license": "MIT",
|
||||
"version": "1.0.0",
|
||||
"repository": {
|
||||
"type": "git",
|
||||
"url": "git://github.com/oakmac/chessboardjs.git"
|
||||
},
|
||||
"files": ["dist/"],
|
||||
"dependencies": {
|
||||
"jquery": ">=3.4.1"
|
||||
},
|
||||
"devDependencies": {
|
||||
"csso": "3.5.1",
|
||||
"fs-plus": "3.1.1",
|
||||
"kidif": "1.1.0",
|
||||
"mustache": "2.3.0",
|
||||
"standard": "10.0.2",
|
||||
"uglify-js": "3.6.0"
|
||||
},
|
||||
"scripts": {
|
||||
"build": "standard lib/chessboard.js && node scripts/build.js",
|
||||
"standard": "standard --fix lib/*.js website/js/*.js",
|
||||
"website": "node scripts/website.js"
|
||||
}
|
||||
}
|
@ -1,499 +0,0 @@
|
||||
<!doctype html>
|
||||
<html lang="en-us">
|
||||
<head>
|
||||
<title>wchess : voice-controlled chess using Whisper + WebAssembly</title>
|
||||
<script src="https://cdnjs.cloudflare.com/ajax/libs/iframe-resizer/4.3.1/iframeResizer.contentWindow.min.js"></script>
|
||||
|
||||
<meta name="viewport" content="width=device-width, initial-scale=0.7, maximum-scale=1, minimum-scale=0.7, user-scalable=no"/>
|
||||
<meta name="apple-mobile-web-app-capable" content="yes" />
|
||||
|
||||
<style>
|
||||
#output {
|
||||
width: 100%;
|
||||
height: 100%;
|
||||
margin: 0 auto;
|
||||
margin-top: 10px;
|
||||
border-left: 0px;
|
||||
border-right: 0px;
|
||||
padding-left: 0px;
|
||||
padding-right: 0px;
|
||||
display: block;
|
||||
background-color: black;
|
||||
color: white;
|
||||
font-size: 10px;
|
||||
font-family: 'Lucida Console', Monaco, monospace;
|
||||
outline: none;
|
||||
white-space: pre;
|
||||
overflow-wrap: normal;
|
||||
overflow-x: scroll;
|
||||
}
|
||||
.button {
|
||||
background-color: #000000;
|
||||
color: #FFFFFF;
|
||||
padding: 20px;
|
||||
border-radius: 10px;
|
||||
-moz-border-radius: 10px;
|
||||
-webkit-border-radius: 10px;
|
||||
margin:10px;
|
||||
width: 100px;
|
||||
height: 50px;
|
||||
-webkit-touch-callout: none; /* Safari */
|
||||
-webkit-user-select: none; /* Chrome */
|
||||
-moz-user-select: none; /* Firefox */
|
||||
-ms-user-select: none; /* Internet Explorer/Edge */
|
||||
user-select: none;
|
||||
}
|
||||
button[disabled]{
|
||||
background-color: #cccccc;
|
||||
color: #666666;
|
||||
padding: 20px;
|
||||
border-radius: 10px;
|
||||
-moz-border-radius: 10px;
|
||||
-webkit-border-radius: 10px;
|
||||
margin:10px;
|
||||
width: 100px;
|
||||
}
|
||||
.center {
|
||||
display: flex;
|
||||
justify-content: center;
|
||||
align-items: center;
|
||||
width: 500px;
|
||||
}
|
||||
#description {
|
||||
width: 500px;
|
||||
}
|
||||
</style>
|
||||
<link rel="stylesheet" href="css/chessboard-1.0.0.min.css" integrity="sha384-q94+BZtLrkL1/ohfjR8c6L+A6qzNH9R2hBLwyoAfu3i/WCvQjzL2RQJ3uNHDISdU" crossorigin="anonymous">
|
||||
</head>
|
||||
<body>
|
||||
<div id="main-container">
|
||||
<div id="description">
|
||||
<b>wchess : voice-controlled chess using Whisper + WebAssembly</b>
|
||||
|
||||
<br><br>
|
||||
|
||||
This is a demonstration of using Whisper to recognize voice commands in the browser.
|
||||
|
||||
<br><br>
|
||||
|
||||
Usage:<br>
|
||||
|
||||
<ul>
|
||||
<li>Select a Whisper model</li>
|
||||
<li>Accept the microphone permission request if prompted</li>
|
||||
<li>Hold the button and say a chess move (e.g. "Knight to c3")</li>
|
||||
<li>Release the button and wait for the move to be recognized</li>
|
||||
<li>Repeat</li>
|
||||
</ul>
|
||||
|
||||
Examples:<br>
|
||||
|
||||
<ul>
|
||||
<li><b>"d4"</b></li>
|
||||
<li><b>"e2 e4"</b></li>
|
||||
<li><b>"Knight f3"</b></li>
|
||||
<li><b>"Bishop to b5"</b></li>
|
||||
</ul>
|
||||
|
||||
Features:<br>
|
||||
|
||||
<ul>
|
||||
<li>Model quantization for reduced memory footprint (~42MB)</li>
|
||||
<li><a href="https://github.com/ggerganov/whisper.cpp/pull/1229">Grammar-based sampling</a> for improved recognition accuracy</li>
|
||||
</ul>
|
||||
|
||||
<b>
|
||||
Note that not all chess moves are supported. For example, castling and pawn promotion
|
||||
currently do not work, but can be easily implemented. There could also be some bugs in
|
||||
the move handling logic in general. The main reason for that is to keep the implementation
|
||||
simple. The assumption is that a real application would already have a proper move
|
||||
validation logic in place.<br><br>
|
||||
|
||||
The main purpose of this example is to demonstrate the capabilities of whisper.cpp and
|
||||
its application in the browser for voice recognition locally on your device.
|
||||
</b>
|
||||
|
||||
<br><br>
|
||||
|
||||
You can find more about this project on <a href="https://github.com/ggerganov/whisper.cpp/tree/master/examples/wchess">GitHub</a>.
|
||||
|
||||
<br><br>
|
||||
|
||||
<b>More examples:</b>
|
||||
<a href="https://whisper.ggerganov.com/">main</a> |
|
||||
<a href="https://whisper.ggerganov.com/bench">bench</a> |
|
||||
<a href="https://whisper.ggerganov.com/stream">stream</a> |
|
||||
<a href="https://whisper.ggerganov.com/command">command</a> |
|
||||
<a href="https://whisper.ggerganov.com/talk">talk</a> |
|
||||
|
||||
<br><br>
|
||||
|
||||
</div>
|
||||
|
||||
<hr>
|
||||
|
||||
<div id="model-whisper">
|
||||
Whisper model: <span id="model-whisper-status"></span>
|
||||
<button id="fetch-whisper-tiny-en" onclick="loadWhisper()">tiny.en (Q8_0, 42 MB)</button>
|
||||
<span id="fetch-whisper-progress"></span>
|
||||
<br><br>
|
||||
<button id="clear" onclick="clearCache()">Clear browser cache</button>
|
||||
<!--
|
||||
<input type="file" id="file" name="file" onchange="loadFile(event, 'whisper.bin')" />
|
||||
-->
|
||||
</div>
|
||||
|
||||
<div id="game">
|
||||
<br>
|
||||
<div id="chessboard" style="width: 500px"></div>
|
||||
<script src="js/jquery-3.7.1.min.js"></script>
|
||||
<script src="js/chessboard-1.0.0.min.js"></script>
|
||||
<script>
|
||||
var board = Chessboard('chessboard', 'start')
|
||||
var move_count = 0;
|
||||
</script>
|
||||
|
||||
<br>
|
||||
|
||||
<div id="state">
|
||||
Status: <b><span id="state-status">select model</span></b>
|
||||
|
||||
<div id="input" class="center">
|
||||
<button id="toggler" class="button" onselectstart="return false" style="display: none">Hold</button>
|
||||
</div>
|
||||
|
||||
<pre id="state-grammar">[The grammar will be displayed here]</pre>
|
||||
|
||||
<pre id="state-moves">[The moves will be displayed here]</pre>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<hr>
|
||||
|
||||
Debug output:
|
||||
<textarea id="output" rows="20"></textarea>
|
||||
|
||||
<br>
|
||||
|
||||
<b>Troubleshooting</b>
|
||||
|
||||
<br><br>
|
||||
|
||||
The page does some heavy computations, so make sure:
|
||||
|
||||
<ul>
|
||||
<li>To use a modern web browser (e.g. Chrome, Firefox)</li>
|
||||
<li>Your browser supports WASM <a href="https://webassembly.org/roadmap/">Fixed-width SIMD</a></li>
|
||||
</ul>
|
||||
|
||||
<div class="cell-version">
|
||||
<span>
|
||||
|
|
||||
Build time: <span class="nav-link">@GIT_DATE@</span> |
|
||||
Commit hash: <a class="nav-link" href="https://github.com/ggerganov/whisper.cpp/commit/@GIT_SHA1@">@GIT_SHA1@</a> |
|
||||
Commit subject: <span class="nav-link">@GIT_COMMIT_SUBJECT@</span> |
|
||||
<a class="nav-link" href="https://github.com/ggerganov/whisper.cpp/tree/master/examples/command.wasm">Source Code</a> |
|
||||
</span>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<script type="text/javascript" src="js/helpers.js"></script>
|
||||
<script type='text/javascript'>
|
||||
// web audio context
|
||||
var context = null;
|
||||
|
||||
// the command instance
|
||||
var instance = null;
|
||||
|
||||
// model name
|
||||
var model_whisper = null;
|
||||
var model_file = null;
|
||||
|
||||
var module_ready = null;
|
||||
|
||||
var Module = {
|
||||
print: printTextarea,
|
||||
printErr: printTextarea,
|
||||
setStatus: function(text) {
|
||||
printTextarea('js: ' + text);
|
||||
},
|
||||
monitorRunDependencies: function(left) {
|
||||
},
|
||||
preRun: function() {
|
||||
printTextarea('js: Preparing ...');
|
||||
},
|
||||
postRun: function() {
|
||||
printTextarea('js: Module initialized successfully!');
|
||||
module_ready = true;
|
||||
initInstance();
|
||||
}
|
||||
};
|
||||
|
||||
function initInstance() {
|
||||
if (!module_ready || !model_file || instance) return
|
||||
|
||||
instance = Module.init(model_file);
|
||||
|
||||
if (instance) {
|
||||
setStatus('Ready');
|
||||
printTextarea("js: whisper initialized, instance: " + instance);
|
||||
}
|
||||
else {
|
||||
printTextarea("js: failed to initialize whisper");
|
||||
}
|
||||
}
|
||||
|
||||
function setStatus(text) {
|
||||
document.getElementById('state-status').innerHTML = text;
|
||||
}
|
||||
|
||||
//
|
||||
// fetch models
|
||||
//
|
||||
|
||||
let dbVersion = 1
|
||||
let dbName = 'whisper.ggerganov.com';
|
||||
let indexedDB = window.indexedDB || window.mozIndexedDB || window.webkitIndexedDB || window.msIndexedDB
|
||||
|
||||
function storeFS(fname, buf) {
|
||||
// write to WASM file using FS_createDataFile
|
||||
// if the file exists, delete it
|
||||
try {
|
||||
Module.FS_unlink(fname);
|
||||
} catch (e) {
|
||||
// ignore
|
||||
}
|
||||
|
||||
Module.FS_createDataFile("/", fname, buf, true, true);
|
||||
|
||||
printTextarea('storeFS: stored model: ' + fname + ' size: ' + buf.length);
|
||||
|
||||
document.getElementById('model-whisper-status').innerHTML = 'loaded "' + model_whisper + '"!';
|
||||
|
||||
model_file = fname;
|
||||
initInstance();
|
||||
}
|
||||
|
||||
function loadWhisper() {
|
||||
setStatus('Loading')
|
||||
//let url = 'https://whisper.ggerganov.com/ggml-model-whisper-tiny.en-q8_0.bin';
|
||||
let url = 'https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-tiny.en-q8_0.bin';
|
||||
let dst = 'whisper.bin';
|
||||
let size_mb = 42;
|
||||
|
||||
model_whisper = 'tiny.en-q8_0';
|
||||
|
||||
document.getElementById('model-whisper-status').innerHTML = 'loading "' + model_whisper + '" ... ';
|
||||
document.getElementById('fetch-whisper-tiny-en').style.display = 'none';
|
||||
|
||||
cbProgress = function(p) {
|
||||
let el = document.getElementById('fetch-whisper-progress');
|
||||
el.innerHTML = Math.round(100*p) + '%';
|
||||
};
|
||||
|
||||
cbCancel = function() {
|
||||
var el;
|
||||
el = document.getElementById('model-whisper-status'); if (el) el.innerHTML = '';
|
||||
};
|
||||
|
||||
loadRemote(url, dst, size_mb, cbProgress, storeFS, cbCancel, printTextarea);
|
||||
|
||||
// init audio capture so that the user receives a permission request
|
||||
{
|
||||
let context = new AudioContext({
|
||||
sampleRate: 16000,
|
||||
channelCount: 1,
|
||||
echoCancellation: false,
|
||||
autoGainControl: true,
|
||||
noiseSuppression: true,
|
||||
});
|
||||
navigator.mediaDevices.getUserMedia({audio: true, video: false})
|
||||
.then(function(s) {
|
||||
stream = s;
|
||||
stream.getTracks().forEach(function(track) {
|
||||
track.stop();
|
||||
});
|
||||
})
|
||||
.catch(function(err) {
|
||||
printTextarea('js: error getting audio stream: ' + err);
|
||||
});
|
||||
context.close();
|
||||
}
|
||||
|
||||
document.getElementById('toggler').style.display = 'block';
|
||||
}
|
||||
|
||||
//
|
||||
// microphone
|
||||
//
|
||||
|
||||
const kSampleRate = 16000;
|
||||
const kRestartRecording_s = 120;
|
||||
const kIntervalAudio_ms = 250; // pass the recorded audio to the C++ instance at this rate
|
||||
|
||||
var mediaRecorder = null;
|
||||
var doRecording = false;
|
||||
var startTime = 0;
|
||||
|
||||
window.AudioContext = window.AudioContext || window.webkitAudioContext;
|
||||
window.OfflineAudioContext = window.OfflineAudioContext || window.webkitOfflineAudioContext;
|
||||
|
||||
function stopRecording() {
|
||||
if (mediaRecorder) {
|
||||
mediaRecorder.stop();
|
||||
}
|
||||
}
|
||||
|
||||
function startRecording() {
|
||||
if (!context) {
|
||||
context = new AudioContext({
|
||||
sampleRate: kSampleRate,
|
||||
channelCount: 1,
|
||||
echoCancellation: false,
|
||||
autoGainControl: true,
|
||||
noiseSuppression: true,
|
||||
});
|
||||
}
|
||||
|
||||
startTime = Date.now();
|
||||
|
||||
var chunks = [];
|
||||
var stream = null;
|
||||
|
||||
navigator.mediaDevices.getUserMedia({audio: true, video: false})
|
||||
.then(function(s) {
|
||||
stream = s;
|
||||
mediaRecorder = new MediaRecorder(stream);
|
||||
mediaRecorder.ondataavailable = function(e) {
|
||||
chunks.push(e.data);
|
||||
|
||||
var blob = new Blob(chunks, { 'type' : 'audio/ogg; codecs=opus' });
|
||||
var reader = new FileReader();
|
||||
|
||||
reader.onload = function(event) {
|
||||
var buf = new Uint8Array(reader.result);
|
||||
context.decodeAudioData(buf.buffer, function(audioBuffer) {
|
||||
var offlineContext = new OfflineAudioContext(audioBuffer.numberOfChannels, audioBuffer.length, audioBuffer.sampleRate);
|
||||
var source = offlineContext.createBufferSource();
|
||||
source.buffer = audioBuffer;
|
||||
source.connect(offlineContext.destination);
|
||||
source.start(0);
|
||||
|
||||
offlineContext.startRendering().then(function(renderedBuffer) {
|
||||
let audio = renderedBuffer.getChannelData(0);
|
||||
printTextarea('js: number of samples: ' + audio.length);
|
||||
Module.set_audio(instance, audio);
|
||||
});
|
||||
|
||||
mediaRecorder = null;
|
||||
context = null;
|
||||
});
|
||||
}
|
||||
|
||||
reader.readAsArrayBuffer(blob);
|
||||
};
|
||||
|
||||
mediaRecorder.onstop = function(e) {
|
||||
stream.getTracks().forEach(function(track) {
|
||||
track.stop();
|
||||
});
|
||||
};
|
||||
|
||||
mediaRecorder.start();
|
||||
})
|
||||
.catch(function(err) {
|
||||
printTextarea('js: error getting audio stream: ' + err);
|
||||
});
|
||||
}
|
||||
|
||||
//
|
||||
// main
|
||||
//
|
||||
|
||||
var nLines = 0;
|
||||
var movesAll = '';
|
||||
|
||||
// document.body.addEventListener('keydown', function(event) {
|
||||
// if (event.keyCode === 32) {
|
||||
// document.getElementById('toggler').innerText = "";
|
||||
// onStart();
|
||||
// }
|
||||
// }, true);
|
||||
|
||||
// document.body.addEventListener('keyup', function(event) {
|
||||
// if (event.keyCode === 32) {
|
||||
// document.getElementById('toggler').innerText = "Hold";
|
||||
// onStop();
|
||||
// }
|
||||
// }, true);
|
||||
|
||||
document.getElementById('toggler').addEventListener("touchstart", function(event){
|
||||
this.innerText = "";
|
||||
onStart();
|
||||
}, true);
|
||||
|
||||
document.getElementById('toggler').addEventListener("touchend", function(event){
|
||||
this.innerText = "Hold";
|
||||
onStop();
|
||||
}, true)
|
||||
|
||||
document.getElementById('toggler').addEventListener('mousedown', function(event) {
|
||||
this.innerText = "";
|
||||
onStart();
|
||||
}, true);
|
||||
|
||||
document.getElementById('toggler').addEventListener('mouseup', function(event) {
|
||||
this.innerText = "Hold";
|
||||
onStop();
|
||||
}, true);
|
||||
|
||||
function onStart() {
|
||||
if (!instance) return;
|
||||
setStatus('Listening');
|
||||
|
||||
startRecording();
|
||||
}
|
||||
|
||||
function onStop() {
|
||||
setStatus('Processing');
|
||||
printTextarea('js: stopping recording ...');
|
||||
stopRecording();
|
||||
}
|
||||
|
||||
function setMove(move, prob) {
|
||||
if (move != null && move.length > 1) {
|
||||
let gameOver = move[move.length - 1] === '#';
|
||||
if (gameOver) {
|
||||
move = move.substring(0, move.length - 1);
|
||||
document.getElementById('toggler').disabled = true;
|
||||
}
|
||||
board.move(move);
|
||||
|
||||
movesAll += move + ', prob = ' + prob.toFixed(2) + '% <br>';
|
||||
nLines++;
|
||||
|
||||
// if more than 10 lines, remove the first line
|
||||
if (nLines > 10) {
|
||||
var i = movesAll.indexOf('<br>');
|
||||
if (i > 0) {
|
||||
movesAll = movesAll.substring(i + 4);
|
||||
nLines--;
|
||||
}
|
||||
}
|
||||
++move_count;
|
||||
setStatus(gameOver ? 'Done' : move_count % 2 ? 'Black\'s turn' : 'White\'s turn');
|
||||
document.getElementById('state-moves').innerHTML = movesAll;
|
||||
}
|
||||
else {
|
||||
setStatus('Failed. ' + (move_count % 2 ? 'Black\'s turn' : 'White\'s turn'));
|
||||
}
|
||||
}
|
||||
|
||||
function setGrammar(grammar) {
|
||||
document.getElementById('state-grammar').innerHTML = grammar;
|
||||
}
|
||||
|
||||
</script>
|
||||
<script type="text/javascript" src="js/chess.js"></script>
|
||||
</body>
|
||||
</html>
|
@ -1,141 +0,0 @@
|
||||
#include <WChess.h>
|
||||
#include <emscripten.h>
|
||||
#include <emscripten/bind.h>
|
||||
|
||||
#include <thread>
|
||||
|
||||
constexpr int N_THREAD = 8;
|
||||
|
||||
std::vector<struct whisper_context *> g_contexts(4, nullptr);
|
||||
|
||||
std::mutex g_mutex;
|
||||
std::thread g_worker;
|
||||
|
||||
std::condition_variable g_cv;
|
||||
|
||||
bool g_running(false);
|
||||
std::vector<float> g_pcmf32;
|
||||
|
||||
void set_move(const std::string & move, float prob) {
|
||||
MAIN_THREAD_EM_ASM({
|
||||
setMove(UTF8ToString($0), $1)
|
||||
}, move.c_str(), prob);
|
||||
}
|
||||
|
||||
void set_grammar(const std::string & grammar) {
|
||||
MAIN_THREAD_EM_ASM({
|
||||
setGrammar(UTF8ToString($0))
|
||||
}, grammar.c_str());
|
||||
}
|
||||
|
||||
bool get_audio(std::vector<float> & audio) {
|
||||
std::unique_lock<std::mutex> lock(g_mutex);
|
||||
g_cv.wait(lock, [] { return !g_running || !g_pcmf32.empty(); });
|
||||
if (!g_running) return false;
|
||||
audio = std::move(g_pcmf32);
|
||||
return true;
|
||||
}
|
||||
|
||||
void wchess_main(size_t i) {
|
||||
struct whisper_full_params wparams = whisper_full_default_params(whisper_sampling_strategy::WHISPER_SAMPLING_GREEDY);
|
||||
|
||||
wparams.n_threads = std::min(N_THREAD, (int) std::thread::hardware_concurrency());
|
||||
wparams.offset_ms = 0;
|
||||
wparams.translate = false;
|
||||
wparams.no_context = true;
|
||||
wparams.single_segment = true;
|
||||
wparams.print_realtime = false;
|
||||
wparams.print_progress = false;
|
||||
wparams.print_timestamps = true;
|
||||
wparams.print_special = false;
|
||||
wparams.no_timestamps = true;
|
||||
|
||||
wparams.max_tokens = 32;
|
||||
wparams.audio_ctx = 1280; // partial encoder context for better performance
|
||||
|
||||
wparams.temperature = 0.0f;
|
||||
wparams.temperature_inc = 2.0f;
|
||||
wparams.greedy.best_of = 1;
|
||||
|
||||
wparams.beam_search.beam_size = 1;
|
||||
|
||||
wparams.language = "en";
|
||||
|
||||
wparams.grammar_penalty = 100.0;
|
||||
wparams.initial_prompt = "bishop to c3, rook to d4, knight to e5, d4 d5, knight to c3, c3, queen to d4, king b1, pawn to a1, bishop to b2, knight to c3,";
|
||||
|
||||
printf("command: using %d threads\n", wparams.n_threads);
|
||||
|
||||
WChess::callbacks cb;
|
||||
cb.get_audio = get_audio;
|
||||
cb.set_move = set_move;
|
||||
cb.set_grammar = set_grammar;
|
||||
|
||||
WChess(g_contexts[i], wparams, cb, {}).run();
|
||||
|
||||
if (i < g_contexts.size()) {
|
||||
whisper_free(g_contexts[i]);
|
||||
g_contexts[i] = nullptr;
|
||||
}
|
||||
}
|
||||
|
||||
EMSCRIPTEN_BINDINGS(command) {
|
||||
emscripten::function("init", emscripten::optional_override([](const std::string & path_model) {
|
||||
for (size_t i = 0; i < g_contexts.size(); ++i) {
|
||||
if (g_contexts[i] == nullptr) {
|
||||
g_contexts[i] = whisper_init_from_file_with_params(path_model.c_str(), whisper_context_default_params());
|
||||
if (g_contexts[i] != nullptr) {
|
||||
g_running = true;
|
||||
if (g_worker.joinable()) {
|
||||
g_worker.join();
|
||||
}
|
||||
g_worker = std::thread([i]() {
|
||||
wchess_main(i);
|
||||
});
|
||||
|
||||
return i + 1;
|
||||
} else {
|
||||
return (size_t) 0;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return (size_t) 0;
|
||||
}));
|
||||
|
||||
emscripten::function("free", emscripten::optional_override([](size_t /* index */) {
|
||||
{
|
||||
std::unique_lock<std::mutex> lock(g_mutex);
|
||||
g_running = false;
|
||||
}
|
||||
g_cv.notify_one();
|
||||
}));
|
||||
|
||||
emscripten::function("set_audio", emscripten::optional_override([](size_t index, const emscripten::val & audio) {
|
||||
--index;
|
||||
|
||||
if (index >= g_contexts.size()) {
|
||||
return -1;
|
||||
}
|
||||
|
||||
if (g_contexts[index] == nullptr) {
|
||||
return -2;
|
||||
}
|
||||
|
||||
{
|
||||
std::lock_guard<std::mutex> lock(g_mutex);
|
||||
const int n = audio["length"].as<int>();
|
||||
|
||||
emscripten::val heap = emscripten::val::module_property("HEAPU8");
|
||||
emscripten::val memory = heap["buffer"];
|
||||
|
||||
g_pcmf32.resize(n);
|
||||
|
||||
emscripten::val memoryView = audio["constructor"].new_(memory, reinterpret_cast<uintptr_t>(g_pcmf32.data()), n);
|
||||
memoryView.call<void>("set", audio);
|
||||
}
|
||||
g_cv.notify_one();
|
||||
|
||||
return 0;
|
||||
}));
|
||||
}
|
15
examples/whisper.android.java/.gitignore
vendored
@ -1,15 +0,0 @@
|
||||
*.iml
|
||||
.gradle
|
||||
/local.properties
|
||||
/.idea/caches
|
||||
/.idea/libraries
|
||||
/.idea/modules.xml
|
||||
/.idea/workspace.xml
|
||||
/.idea/navEditor.xml
|
||||
/.idea/assetWizardSettings.xml
|
||||
.DS_Store
|
||||
/build
|
||||
/captures
|
||||
.externalNativeBuild
|
||||
.cxx
|
||||
local.properties
|
@ -1,20 +0,0 @@
|
||||
A sample Android app using java code and [whisper.cpp](https://github.com/ggerganov/whisper.cpp/) to do voice-to-text transcriptions.
|
||||
|
||||
To use:
|
||||
|
||||
1. Select a model from the [whisper.cpp repository](https://github.com/ggerganov/whisper.cpp/tree/master/models).[^1]
|
||||
2. Copy the model to the "app/src/main/assets/models" folder.
|
||||
3. Select a sample audio file (for example, [jfk.wav](https://github.com/ggerganov/whisper.cpp/raw/master/samples/jfk.wav)).
|
||||
4. Copy the sample to the "app/src/main/assets/samples" folder.
|
||||
5. Modify the modelFilePath in the WhisperService.java
|
||||
6. Modify the sampleFilePath in the WhisperService.java
|
||||
7. Select the "release" active build variant, and use Android Studio to run and deploy to your device.
|
||||
[^1]: I recommend the tiny or base models for running on an Android device.
|
||||
|
||||
PS:
|
||||
1. Do not move this android project folder individually to other folders, because this android project folder depends on the files of the whole project.
|
||||
2. The cpp code is compiled during the build process
|
||||
3. If you want to import a compiled cpp project in your Android project, please refer to the https://github.com/litongjava/whisper.cpp.android.java.demo
|
||||
|
||||

|
||||
|
Before Width: | Height: | Size: 67 KiB |
1
examples/whisper.android.java/app/.gitignore
vendored
@ -1 +0,0 @@
|
||||
/build
|
@ -1,58 +0,0 @@
|
||||
plugins {
|
||||
id 'com.android.application'
|
||||
}
|
||||
|
||||
android {
|
||||
compileSdkVersion 30
|
||||
buildToolsVersion '30.0.3'
|
||||
|
||||
defaultConfig {
|
||||
applicationId "com.litongjava.whisper.android.java"
|
||||
minSdkVersion 21
|
||||
targetSdkVersion 30
|
||||
versionCode 1
|
||||
versionName "1.0"
|
||||
|
||||
testInstrumentationRunner "androidx.test.runner.AndroidJUnitRunner"
|
||||
externalNativeBuild {
|
||||
cmake {
|
||||
cppFlags ""
|
||||
}
|
||||
}
|
||||
ndk {
|
||||
abiFilters 'arm64-v8a', 'armeabi-v7a', 'x86', 'x86_64'
|
||||
}
|
||||
}
|
||||
|
||||
buildTypes {
|
||||
release {
|
||||
signingConfig signingConfigs.debug
|
||||
minifyEnabled true
|
||||
proguardFiles getDefaultProguardFile('proguard-android-optimize.txt'), 'proguard-rules.pro'
|
||||
}
|
||||
}
|
||||
externalNativeBuild {
|
||||
cmake {
|
||||
path "src/main/jni/whisper/CMakeLists.txt"
|
||||
}
|
||||
}
|
||||
ndkVersion "25.2.9519653"
|
||||
compileOptions {
|
||||
sourceCompatibility JavaVersion.VERSION_1_8
|
||||
targetCompatibility JavaVersion.VERSION_1_8
|
||||
}
|
||||
}
|
||||
|
||||
dependencies {
|
||||
implementation 'androidx.appcompat:appcompat:1.1.0'
|
||||
implementation 'com.google.android.material:material:1.1.0'
|
||||
implementation 'androidx.constraintlayout:constraintlayout:1.1.3'
|
||||
testImplementation 'junit:junit:4.+'
|
||||
androidTestImplementation 'androidx.test.ext:junit:1.1.5'
|
||||
androidTestImplementation 'androidx.test.espresso:espresso-core:3.5.1'
|
||||
|
||||
//litongjava
|
||||
implementation 'com.litongjava:android-view-inject:1.0'
|
||||
implementation 'com.litongjava:jfinal-aop:1.0.1'
|
||||
implementation 'com.litongjava:litongjava-android-utils:1.0.0'
|
||||
}
|
@ -1,21 +0,0 @@
|
||||
# Add project specific ProGuard rules here.
|
||||
# You can control the set of applied configuration files using the
|
||||
# proguardFiles setting in build.gradle.
|
||||
#
|
||||
# For more details, see
|
||||
# http://developer.android.com/guide/developing/tools/proguard.html
|
||||
|
||||
# If your project uses WebView with JS, uncomment the following
|
||||
# and specify the fully qualified class name to the JavaScript interface
|
||||
# class:
|
||||
#-keepclassmembers class fqcn.of.javascript.interface.for.webview {
|
||||
# public *;
|
||||
#}
|
||||
|
||||
# Uncomment this to preserve the line number information for
|
||||
# debugging stack traces.
|
||||
#-keepattributes SourceFile,LineNumberTable
|
||||
|
||||
# If you keep the line number information, uncomment this to
|
||||
# hide the original source file name.
|
||||
#-renamesourcefileattribute SourceFile
|
@ -1,26 +0,0 @@
|
||||
package com.litongjava.whisper.android.java;
|
||||
|
||||
import android.content.Context;
|
||||
|
||||
import androidx.test.platform.app.InstrumentationRegistry;
|
||||
import androidx.test.ext.junit.runners.AndroidJUnit4;
|
||||
|
||||
import org.junit.Test;
|
||||
import org.junit.runner.RunWith;
|
||||
|
||||
import static org.junit.Assert.*;
|
||||
|
||||
/**
|
||||
* Instrumented test, which will execute on an Android device.
|
||||
*
|
||||
* @see <a href="http://d.android.com/tools/testing">Testing documentation</a>
|
||||
*/
|
||||
@RunWith(AndroidJUnit4.class)
|
||||
public class ExampleInstrumentedTest {
|
||||
@Test
|
||||
public void useAppContext() {
|
||||
// Context of the app under test.
|
||||
Context appContext = InstrumentationRegistry.getInstrumentation().getTargetContext();
|
||||
assertEquals("com.litongjava.whisper.android.java", appContext.getPackageName());
|
||||
}
|
||||
}
|
@ -1,22 +0,0 @@
|
||||
<?xml version="1.0" encoding="utf-8"?>
|
||||
<manifest xmlns:android="http://schemas.android.com/apk/res/android"
|
||||
package="com.litongjava.whisper.android.java">
|
||||
|
||||
<application
|
||||
android:allowBackup="true"
|
||||
android:name=".app.App"
|
||||
android:icon="@mipmap/ic_launcher"
|
||||
android:label="@string/app_name"
|
||||
android:roundIcon="@mipmap/ic_launcher_round"
|
||||
android:supportsRtl="true"
|
||||
android:theme="@style/Theme.Whisperandroidjava">
|
||||
<activity android:name=".MainActivity">
|
||||
<intent-filter>
|
||||
<action android:name="android.intent.action.MAIN" />
|
||||
|
||||
<category android:name="android.intent.category.LAUNCHER" />
|
||||
</intent-filter>
|
||||
</activity>
|
||||
</application>
|
||||
|
||||
</manifest>
|
@ -1,40 +0,0 @@
|
||||
<?xml version="1.0" encoding="UTF-8" ?>
|
||||
<configuration debug="false" xmlns="http://ch.qos.logback/xml/ns/logback"
|
||||
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
|
||||
xsi:schemaLocation="http://ch.qos.logback/xml/ns/logback https://raw.githubusercontent.com/enricopulatzo/logback-XSD/master/src/main/xsd/logback.xsd
|
||||
http://ch.qos.logback/xml/ns/logback ">
|
||||
<!--Define the storage address of the log file Do not use relative paths in the LogBack configuration. -->
|
||||
<property name="LOG_HOME" value="logs" />
|
||||
<!--Formatted output: %d means the date, %-6level: log level from the left display 6 characters wide, %m: log message, %n is a newline character -->
|
||||
<property name="CONSOLE_LOG_PATTERN"
|
||||
value="%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] %-6level%logger{0}.%M:%L - %m%n" />
|
||||
|
||||
<!-- console output -->
|
||||
<appender name="STDOUT" class="ch.qos.logback.core.ConsoleAppender">
|
||||
<encoder class="ch.qos.logback.classic.encoder.PatternLayoutEncoder">
|
||||
<pattern>${CONSOLE_LOG_PATTERN}</pattern>
|
||||
</encoder>
|
||||
</appender>
|
||||
|
||||
<!-- Generate log files on a daily basis -->
|
||||
<appender name="FILE" class="ch.qos.logback.core.rolling.RollingFileAppender">
|
||||
<encoder class="ch.qos.logback.classic.encoder.PatternLayoutEncoder">
|
||||
<pattern>${CONSOLE_LOG_PATTERN}</pattern>
|
||||
</encoder>
|
||||
<rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
|
||||
<!--File name for log file output -->
|
||||
<fileNamePattern>${LOG_HOME}/project-name-%d{yyyy-MM-dd}.log</fileNamePattern>
|
||||
<!--Maximum size of log file -->
|
||||
<maxHistory>180</maxHistory>
|
||||
</rollingPolicy>
|
||||
<!--日志文件最大的大小 -->
|
||||
<triggeringPolicy class="ch.qos.logback.core.rolling.SizeBasedTriggeringPolicy">
|
||||
<maxFileSize>10MB</maxFileSize>
|
||||
</triggeringPolicy>
|
||||
</appender>
|
||||
<!-- Log output level and source-->
|
||||
<root level="info">
|
||||
<appender-ref ref="STDOUT" />
|
||||
<appender-ref ref="FILE" />
|
||||
</root>
|
||||
</configuration>
|
@ -1,107 +0,0 @@
|
||||
package com.litongjava.whisper.android.java;
|
||||
|
||||
import androidx.annotation.RequiresApi;
|
||||
import androidx.appcompat.app.AppCompatActivity;
|
||||
|
||||
import android.content.Context;
|
||||
import android.os.Build;
|
||||
import android.os.Bundle;
|
||||
import android.os.Handler;
|
||||
import android.os.Looper;
|
||||
import android.view.View;
|
||||
import android.widget.TextView;
|
||||
|
||||
import com.blankj.utilcode.util.ThreadUtils;
|
||||
import com.litongjava.android.view.inject.annotation.FindViewById;
|
||||
import com.litongjava.android.view.inject.annotation.FindViewByIdLayout;
|
||||
import com.litongjava.android.view.inject.annotation.OnClick;
|
||||
import com.litongjava.android.view.inject.utils.ViewInjectUtils;
|
||||
import com.litongjava.jfinal.aop.Aop;
|
||||
import com.litongjava.jfinal.aop.AopManager;
|
||||
import com.litongjava.whisper.android.java.services.WhisperService;
|
||||
import com.litongjava.whisper.android.java.task.LoadModelTask;
|
||||
import com.litongjava.whisper.android.java.task.TranscriptionTask;
|
||||
import com.litongjava.whisper.android.java.utils.AssetUtils;
|
||||
import com.whispercpp.java.whisper.WhisperLib;
|
||||
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
|
||||
import java.io.File;
|
||||
|
||||
|
||||
@FindViewByIdLayout(R.layout.activity_main)
|
||||
public class MainActivity extends AppCompatActivity {
|
||||
|
||||
@FindViewById(R.id.sample_text)
|
||||
private TextView tv;
|
||||
|
||||
Logger log = LoggerFactory.getLogger(this.getClass());
|
||||
private WhisperService whisperService = Aop.get(WhisperService.class);
|
||||
|
||||
@RequiresApi(api = Build.VERSION_CODES.O)
|
||||
@Override
|
||||
protected void onCreate(Bundle savedInstanceState) {
|
||||
super.onCreate(savedInstanceState);
|
||||
//setContentView(R.layout.activity_main);
|
||||
ViewInjectUtils.injectActivity(this, this);
|
||||
initAopBean();
|
||||
showSystemInfo();
|
||||
}
|
||||
|
||||
private void initAopBean() {
|
||||
Handler mainHandler = new Handler(Looper.getMainLooper());
|
||||
AopManager.me().addSingletonObject(mainHandler);
|
||||
}
|
||||
|
||||
@RequiresApi(api = Build.VERSION_CODES.O)
|
||||
@OnClick(R.id.loadModelBtn)
|
||||
public void loadModelBtn_OnClick(View v) {
|
||||
Context context = getBaseContext();
|
||||
ThreadUtils.executeByIo(new LoadModelTask(tv));
|
||||
}
|
||||
|
||||
@OnClick(R.id.transcriptSampleBtn)
|
||||
public void transcriptSampleBtn_OnClick(View v) {
|
||||
Context context = getBaseContext();
|
||||
|
||||
long start = System.currentTimeMillis();
|
||||
String sampleFilePath = "samples/jfk.wav";
|
||||
File filesDir = context.getFilesDir();
|
||||
File sampleFile = AssetUtils.copyFileIfNotExists(context, filesDir, sampleFilePath);
|
||||
long end = System.currentTimeMillis();
|
||||
String msg = "copy file:" + (end - start) + "ms";
|
||||
outputMsg(tv, msg);
|
||||
ThreadUtils.executeByIo(new TranscriptionTask(tv, sampleFile));
|
||||
}
|
||||
|
||||
private void outputMsg(TextView tv, String msg) {
|
||||
tv.append(msg + "\n");
|
||||
log.info(msg);
|
||||
}
|
||||
|
||||
|
||||
@RequiresApi(api = Build.VERSION_CODES.O)
|
||||
@OnClick(R.id.systemInfoBtn)
|
||||
public void systemInfoBtn_OnClick(View v) {
|
||||
showSystemInfo();
|
||||
}
|
||||
|
||||
@RequiresApi(api = Build.VERSION_CODES.O)
|
||||
public void showSystemInfo() {
|
||||
String systemInfo = WhisperLib.getSystemInfo();
|
||||
tv.append(systemInfo + "\n");
|
||||
}
|
||||
|
||||
@OnClick(R.id.clearBtn)
|
||||
public void clearBtn_OnClick(View v) {
|
||||
tv.setText("");
|
||||
}
|
||||
|
||||
@RequiresApi(api = Build.VERSION_CODES.O)
|
||||
@Override
|
||||
protected void onDestroy() {
|
||||
super.onDestroy();
|
||||
whisperService.release();
|
||||
}
|
||||
}
|
@ -1,13 +0,0 @@
|
||||
package com.litongjava.whisper.android.java.app;
|
||||
|
||||
import android.app.Application;
|
||||
|
||||
import com.blankj.utilcode.util.Utils;
|
||||
|
||||
public class App extends Application {
|
||||
@Override
|
||||
public void onCreate() {
|
||||
super.onCreate();
|
||||
Utils.init(this);
|
||||
}
|
||||
}
|
@ -1,47 +0,0 @@
|
||||
package com.litongjava.whisper.android.java.bean;
|
||||
|
||||
/**
|
||||
* Created by litonglinux@qq.com on 10/21/2023_7:48 AM
|
||||
*/
|
||||
public class WhisperSegment {
|
||||
private long start, end;
|
||||
private String sentence;
|
||||
|
||||
public WhisperSegment() {
|
||||
}
|
||||
|
||||
public WhisperSegment(long start, long end, String sentence) {
|
||||
this.start = start;
|
||||
this.end = end;
|
||||
this.sentence = sentence;
|
||||
}
|
||||
|
||||
public long getStart() {
|
||||
return start;
|
||||
}
|
||||
|
||||
public long getEnd() {
|
||||
return end;
|
||||
}
|
||||
|
||||
public String getSentence() {
|
||||
return sentence;
|
||||
}
|
||||
|
||||
public void setStart(long start) {
|
||||
this.start = start;
|
||||
}
|
||||
|
||||
public void setEnd(long end) {
|
||||
this.end = end;
|
||||
}
|
||||
|
||||
public void setSentence(String sentence) {
|
||||
this.sentence = sentence;
|
||||
}
|
||||
|
||||
@Override
|
||||
public String toString() {
|
||||
return "["+start+" --> "+end+"]:"+sentence;
|
||||
}
|
||||
}
|
@ -1,101 +0,0 @@
|
||||
package com.litongjava.whisper.android.java.services;
|
||||
|
||||
import android.content.Context;
|
||||
import android.os.Build;
|
||||
import android.os.Handler;
|
||||
import android.widget.TextView;
|
||||
import android.widget.Toast;
|
||||
|
||||
import androidx.annotation.RequiresApi;
|
||||
|
||||
import com.blankj.utilcode.util.ToastUtils;
|
||||
import com.blankj.utilcode.util.Utils;
|
||||
import com.litongjava.android.utils.dialog.AlertDialogUtils;
|
||||
import com.litongjava.jfinal.aop.Aop;
|
||||
import com.litongjava.whisper.android.java.bean.WhisperSegment;
|
||||
import com.litongjava.whisper.android.java.single.LocalWhisper;
|
||||
import com.litongjava.whisper.android.java.utils.WaveEncoder;
|
||||
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
|
||||
import java.io.File;
|
||||
import java.io.IOException;
|
||||
import java.util.List;
|
||||
import java.util.concurrent.ExecutionException;
|
||||
|
||||
public class WhisperService {
|
||||
private Logger log = LoggerFactory.getLogger(this.getClass());
|
||||
|
||||
private final Object lock = new Object();
|
||||
|
||||
@RequiresApi(api = Build.VERSION_CODES.O)
|
||||
public void loadModel(TextView tv) {
|
||||
String modelFilePath = LocalWhisper.modelFilePath;
|
||||
String msg = "load model from :" + modelFilePath + "\n";
|
||||
outputMsg(tv, msg);
|
||||
|
||||
long start = System.currentTimeMillis();
|
||||
LocalWhisper.INSTANCE.init();
|
||||
long end = System.currentTimeMillis();
|
||||
msg = "model load successful:" + (end - start) + "ms";
|
||||
outputMsg(tv, msg);
|
||||
ToastUtils.showLong(msg);
|
||||
|
||||
}
|
||||
|
||||
@RequiresApi(api = Build.VERSION_CODES.O)
|
||||
public void transcribeSample(TextView tv, File sampleFile) {
|
||||
String msg = "";
|
||||
msg = "transcribe file from :" + sampleFile.getAbsolutePath();
|
||||
outputMsg(tv, msg);
|
||||
|
||||
Long start = System.currentTimeMillis();
|
||||
float[] audioData = new float[0]; // 读取音频样本
|
||||
try {
|
||||
audioData = WaveEncoder.decodeWaveFile(sampleFile);
|
||||
} catch (IOException e) {
|
||||
e.printStackTrace();
|
||||
return;
|
||||
}
|
||||
long end = System.currentTimeMillis();
|
||||
msg = "decode wave file:" + (end - start) + "ms";
|
||||
outputMsg(tv, msg);
|
||||
|
||||
start = System.currentTimeMillis();
|
||||
List<WhisperSegment> transcription = null;
|
||||
try {
|
||||
//transcription = LocalWhisper.INSTANCE.transcribeData(audioData);
|
||||
transcription = LocalWhisper.INSTANCE.transcribeDataWithTime(audioData);
|
||||
} catch (ExecutionException e) {
|
||||
e.printStackTrace();
|
||||
} catch (InterruptedException e) {
|
||||
e.printStackTrace();
|
||||
}
|
||||
end = System.currentTimeMillis();
|
||||
if(transcription!=null){
|
||||
ToastUtils.showLong(transcription.toString());
|
||||
msg = "Transcript successful:" + (end - start) + "ms";
|
||||
outputMsg(tv, msg);
|
||||
|
||||
outputMsg(tv, transcription.toString());
|
||||
|
||||
}else{
|
||||
msg = "Transcript failed:" + (end - start) + "ms";
|
||||
outputMsg(tv, msg);
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
private void outputMsg(TextView tv, String msg) {
|
||||
log.info(msg);
|
||||
if(tv!=null){
|
||||
Aop.get(Handler.class).post(()->{ tv.append(msg + "\n");});
|
||||
}
|
||||
}
|
||||
|
||||
@RequiresApi(api = Build.VERSION_CODES.O)
|
||||
public void release() {
|
||||
//noting to do
|
||||
}
|
||||
}
|
@ -1,66 +0,0 @@
|
||||
package com.litongjava.whisper.android.java.single;
|
||||
|
||||
import android.app.Application;
|
||||
import android.os.Build;
|
||||
import android.os.Handler;
|
||||
|
||||
import androidx.annotation.RequiresApi;
|
||||
|
||||
import com.blankj.utilcode.util.ToastUtils;
|
||||
import com.blankj.utilcode.util.Utils;
|
||||
import com.litongjava.jfinal.aop.Aop;
|
||||
import com.litongjava.whisper.android.java.bean.WhisperSegment;
|
||||
import com.litongjava.whisper.android.java.utils.AssetUtils;
|
||||
import com.whispercpp.java.whisper.WhisperContext;
|
||||
|
||||
import java.io.File;
|
||||
import java.util.List;
|
||||
import java.util.concurrent.ExecutionException;
|
||||
|
||||
|
||||
@RequiresApi(api = Build.VERSION_CODES.O)
|
||||
public enum LocalWhisper {
|
||||
INSTANCE;
|
||||
|
||||
public static final String modelFilePath = "models/ggml-tiny.bin";
|
||||
private WhisperContext whisperContext;
|
||||
|
||||
@RequiresApi(api = Build.VERSION_CODES.O)
|
||||
LocalWhisper() {
|
||||
Application context = Utils.getApp();
|
||||
File filesDir = context.getFilesDir();
|
||||
File modelFile = AssetUtils.copyFileIfNotExists(context, filesDir, modelFilePath);
|
||||
String realModelFilePath = modelFile.getAbsolutePath();
|
||||
whisperContext = WhisperContext.createContextFromFile(realModelFilePath);
|
||||
}
|
||||
|
||||
public synchronized String transcribeData(float[] data) throws ExecutionException, InterruptedException {
|
||||
if(whisperContext==null){
|
||||
toastModelLoading();
|
||||
return null;
|
||||
}else{
|
||||
return whisperContext.transcribeData(data);
|
||||
}
|
||||
}
|
||||
|
||||
private static void toastModelLoading() {
|
||||
Aop.get(Handler.class).post(()->{
|
||||
ToastUtils.showShort("please wait for model loading");
|
||||
});
|
||||
}
|
||||
|
||||
public List<WhisperSegment> transcribeDataWithTime(float[] audioData) throws ExecutionException, InterruptedException {
|
||||
if(whisperContext==null){
|
||||
toastModelLoading();
|
||||
return null;
|
||||
}else{
|
||||
return whisperContext.transcribeDataWithTime(audioData);
|
||||
}
|
||||
}
|
||||
|
||||
public void init() {
|
||||
//noting to do.but init
|
||||
}
|
||||
|
||||
|
||||
}
|
@ -1,44 +0,0 @@
|
||||
package com.litongjava.whisper.android.java.task;
|
||||
|
||||
import android.content.Context;
|
||||
import android.os.Build;
|
||||
import android.os.Handler;
|
||||
import android.widget.TextView;
|
||||
|
||||
import com.blankj.utilcode.util.ThreadUtils;
|
||||
import com.litongjava.jfinal.aop.Aop;
|
||||
import com.litongjava.whisper.android.java.services.WhisperService;
|
||||
|
||||
import java.io.File;
|
||||
|
||||
public class LoadModelTask extends ThreadUtils.Task<Object> {
|
||||
private final TextView tv;
|
||||
public LoadModelTask(TextView tv) {
|
||||
this.tv = tv;
|
||||
}
|
||||
|
||||
@Override
|
||||
public Object doInBackground() {
|
||||
if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.O) {
|
||||
Aop.get(WhisperService.class).loadModel(tv);
|
||||
}else{
|
||||
Aop.get(Handler.class).post(()->{
|
||||
tv.append("not supported android devices");
|
||||
});
|
||||
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
@Override
|
||||
public void onSuccess(Object result) {
|
||||
}
|
||||
|
||||
@Override
|
||||
public void onCancel() {
|
||||
}
|
||||
|
||||
@Override
|
||||
public void onFail(Throwable t) {
|
||||
}
|
||||
}
|
@ -1,44 +0,0 @@
|
||||
package com.litongjava.whisper.android.java.task;
|
||||
|
||||
import android.content.Context;
|
||||
import android.os.Build;
|
||||
import android.widget.TextView;
|
||||
|
||||
import com.blankj.utilcode.util.ThreadUtils;
|
||||
import com.litongjava.jfinal.aop.Aop;
|
||||
import com.litongjava.whisper.android.java.services.WhisperService;
|
||||
|
||||
import java.io.File;
|
||||
|
||||
public class TranscriptionTask extends ThreadUtils.Task<Object> {
|
||||
private final TextView tv;
|
||||
private final File sampleFile;
|
||||
|
||||
public TranscriptionTask(TextView tv, File sampleFile) {
|
||||
this.tv = tv;
|
||||
this.sampleFile = sampleFile;
|
||||
|
||||
}
|
||||
|
||||
@Override
|
||||
public Object doInBackground() {
|
||||
if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.O) {
|
||||
Aop.get(WhisperService.class).transcribeSample(tv, sampleFile);
|
||||
}else{
|
||||
tv.append("not supported android devices");
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
@Override
|
||||
public void onSuccess(Object result) {
|
||||
}
|
||||
|
||||
@Override
|
||||
public void onCancel() {
|
||||
}
|
||||
|
||||
@Override
|
||||
public void onFail(Throwable t) {
|
||||
}
|
||||
}
|
@ -1,91 +0,0 @@
|
||||
package com.litongjava.whisper.android.java.utils;
|
||||
|
||||
import android.content.Context;
|
||||
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
|
||||
import java.io.BufferedInputStream;
|
||||
import java.io.BufferedOutputStream;
|
||||
import java.io.File;
|
||||
import java.io.FileNotFoundException;
|
||||
import java.io.FileOutputStream;
|
||||
import java.io.IOException;
|
||||
import java.io.InputStream;
|
||||
import java.io.OutputStream;
|
||||
|
||||
public class AssetUtils {
|
||||
private static Logger log = LoggerFactory.getLogger(AssetUtils.class);
|
||||
|
||||
public static File copyFileIfNotExists(Context context, File distDir, String filename) {
|
||||
File dstFile = new File(distDir, filename);
|
||||
if (dstFile.exists()) {
|
||||
return dstFile;
|
||||
} else {
|
||||
File parentFile = dstFile.getParentFile();
|
||||
log.info("parentFile:{}", parentFile);
|
||||
if (!parentFile.exists()) {
|
||||
parentFile.mkdirs();
|
||||
}
|
||||
AssetUtils.copyFileFromAssets(context, filename, dstFile);
|
||||
}
|
||||
return dstFile;
|
||||
}
|
||||
|
||||
public static void copyDirectoryFromAssets(Context appCtx, String srcDir, String dstDir) {
|
||||
if (srcDir.isEmpty() || dstDir.isEmpty()) {
|
||||
return;
|
||||
}
|
||||
try {
|
||||
if (!new File(dstDir).exists()) {
|
||||
new File(dstDir).mkdirs();
|
||||
}
|
||||
for (String fileName : appCtx.getAssets().list(srcDir)) {
|
||||
String srcSubPath = srcDir + File.separator + fileName;
|
||||
String dstSubPath = dstDir + File.separator + fileName;
|
||||
if (new File(srcSubPath).isDirectory()) {
|
||||
copyDirectoryFromAssets(appCtx, srcSubPath, dstSubPath);
|
||||
} else {
|
||||
copyFileFromAssets(appCtx, srcSubPath, dstSubPath);
|
||||
}
|
||||
}
|
||||
} catch (Exception e) {
|
||||
e.printStackTrace();
|
||||
}
|
||||
}
|
||||
|
||||
public static void copyFileFromAssets(Context appCtx, String srcPath, String dstPath) {
|
||||
File dstFile = new File(dstPath);
|
||||
copyFileFromAssets(appCtx, srcPath, dstFile);
|
||||
}
|
||||
|
||||
public static void copyFileFromAssets(Context appCtx, String srcPath, File dstFile) {
|
||||
if (srcPath.isEmpty()) {
|
||||
return;
|
||||
}
|
||||
InputStream is = null;
|
||||
OutputStream os = null;
|
||||
try {
|
||||
is = new BufferedInputStream(appCtx.getAssets().open(srcPath));
|
||||
|
||||
os = new BufferedOutputStream(new FileOutputStream(dstFile));
|
||||
byte[] buffer = new byte[1024];
|
||||
int length = 0;
|
||||
while ((length = is.read(buffer)) != -1) {
|
||||
os.write(buffer, 0, length);
|
||||
}
|
||||
} catch (FileNotFoundException e) {
|
||||
e.printStackTrace();
|
||||
} catch (IOException e) {
|
||||
e.printStackTrace();
|
||||
} finally {
|
||||
try {
|
||||
os.close();
|
||||
is.close();
|
||||
} catch (IOException e) {
|
||||
e.printStackTrace();
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
}
|
@ -1,105 +0,0 @@
|
||||
package com.litongjava.whisper.android.java.utils;
|
||||
|
||||
import java.io.ByteArrayOutputStream;
|
||||
import java.io.File;
|
||||
import java.io.FileInputStream;
|
||||
import java.io.FileOutputStream;
|
||||
import java.io.IOException;
|
||||
import java.nio.ByteBuffer;
|
||||
import java.nio.ByteOrder;
|
||||
import java.nio.ShortBuffer;
|
||||
|
||||
public class WaveEncoder {
|
||||
|
||||
public static float[] decodeWaveFile(File file) throws IOException {
|
||||
ByteArrayOutputStream baos = new ByteArrayOutputStream();
|
||||
try (FileInputStream fis = new FileInputStream(file)) {
|
||||
byte[] buffer = new byte[1024];
|
||||
int bytesRead;
|
||||
while ((bytesRead = fis.read(buffer)) != -1) {
|
||||
baos.write(buffer, 0, bytesRead);
|
||||
}
|
||||
}
|
||||
ByteBuffer byteBuffer = ByteBuffer.wrap(baos.toByteArray());
|
||||
byteBuffer.order(ByteOrder.LITTLE_ENDIAN);
|
||||
|
||||
int channel = byteBuffer.getShort(22);
|
||||
byteBuffer.position(44);
|
||||
|
||||
ShortBuffer shortBuffer = byteBuffer.asShortBuffer();
|
||||
short[] shortArray = new short[shortBuffer.limit()];
|
||||
shortBuffer.get(shortArray);
|
||||
|
||||
float[] output = new float[shortArray.length / channel];
|
||||
|
||||
for (int index = 0; index < output.length; index++) {
|
||||
if (channel == 1) {
|
||||
output[index] = Math.max(-1f, Math.min(1f, shortArray[index] / 32767.0f));
|
||||
} else {
|
||||
output[index] = Math.max(-1f, Math.min(1f, (shortArray[2 * index] + shortArray[2 * index + 1]) / 32767.0f / 2.0f));
|
||||
}
|
||||
}
|
||||
return output;
|
||||
}
|
||||
|
||||
public static void encodeWaveFile(File file, short[] data) throws IOException {
|
||||
try (FileOutputStream fos = new FileOutputStream(file)) {
|
||||
fos.write(headerBytes(data.length * 2));
|
||||
|
||||
ByteBuffer buffer = ByteBuffer.allocate(data.length * 2);
|
||||
buffer.order(ByteOrder.LITTLE_ENDIAN);
|
||||
buffer.asShortBuffer().put(data);
|
||||
|
||||
byte[] bytes = new byte[buffer.limit()];
|
||||
buffer.get(bytes);
|
||||
|
||||
fos.write(bytes);
|
||||
}
|
||||
}
|
||||
|
||||
private static byte[] headerBytes(int totalLength) {
|
||||
if (totalLength < 44)
|
||||
throw new IllegalArgumentException("Total length must be at least 44 bytes");
|
||||
|
||||
ByteBuffer buffer = ByteBuffer.allocate(44);
|
||||
buffer.order(ByteOrder.LITTLE_ENDIAN);
|
||||
|
||||
buffer.put((byte) 'R');
|
||||
buffer.put((byte) 'I');
|
||||
buffer.put((byte) 'F');
|
||||
buffer.put((byte) 'F');
|
||||
|
||||
buffer.putInt(totalLength - 8);
|
||||
|
||||
buffer.put((byte) 'W');
|
||||
buffer.put((byte) 'A');
|
||||
buffer.put((byte) 'V');
|
||||
buffer.put((byte) 'E');
|
||||
|
||||
buffer.put((byte) 'f');
|
||||
buffer.put((byte) 'm');
|
||||
buffer.put((byte) 't');
|
||||
buffer.put((byte) ' ');
|
||||
|
||||
buffer.putInt(16);
|
||||
buffer.putShort((short) 1);
|
||||
buffer.putShort((short) 1);
|
||||
buffer.putInt(16000);
|
||||
buffer.putInt(32000);
|
||||
buffer.putShort((short) 2);
|
||||
buffer.putShort((short) 16);
|
||||
|
||||
buffer.put((byte) 'd');
|
||||
buffer.put((byte) 'a');
|
||||
buffer.put((byte) 't');
|
||||
buffer.put((byte) 'a');
|
||||
|
||||
buffer.putInt(totalLength - 44);
|
||||
buffer.position(0);
|
||||
|
||||
byte[] bytes = new byte[buffer.limit()];
|
||||
buffer.get(bytes);
|
||||
|
||||
return bytes;
|
||||
}
|
||||
}
|
@ -1,121 +0,0 @@
|
||||
package com.whispercpp.java.whisper;
|
||||
|
||||
import android.os.Build;
|
||||
import android.util.Log;
|
||||
|
||||
import androidx.annotation.RequiresApi;
|
||||
|
||||
import java.io.BufferedReader;
|
||||
import java.io.FileReader;
|
||||
import java.io.IOException;
|
||||
import java.util.ArrayList;
|
||||
import java.util.HashMap;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
|
||||
public class CpuInfo {
|
||||
private static final String LOG_TAG = "WhisperCpuConfig";
|
||||
|
||||
private List<String> lines;
|
||||
|
||||
public CpuInfo(List<String> lines) {
|
||||
this.lines = lines;
|
||||
}
|
||||
|
||||
@RequiresApi(api = Build.VERSION_CODES.N)
|
||||
public int getHighPerfCpuCount0() {
|
||||
try {
|
||||
return getHighPerfCpuCountByFrequencies();
|
||||
} catch (Exception e) {
|
||||
Log.d(LOG_TAG, "Couldn't read CPU frequencies", e);
|
||||
return getHighPerfCpuCountByVariant();
|
||||
}
|
||||
}
|
||||
|
||||
@RequiresApi(api = Build.VERSION_CODES.N)
|
||||
private int getHighPerfCpuCountByFrequencies() {
|
||||
List<Integer> frequencies = getCpuValues("processor", line -> {
|
||||
try {
|
||||
return getMaxCpuFrequency(Integer.parseInt(line.trim()));
|
||||
} catch (IOException e) {
|
||||
e.printStackTrace();
|
||||
}
|
||||
return 0;
|
||||
}
|
||||
);
|
||||
Log.d(LOG_TAG, "Binned cpu frequencies (frequency, count): " + binnedValues(frequencies));
|
||||
return countDroppingMin(frequencies);
|
||||
}
|
||||
|
||||
@RequiresApi(api = Build.VERSION_CODES.N)
|
||||
private int getHighPerfCpuCountByVariant() {
|
||||
List<Integer> variants = getCpuValues("CPU variant", line -> Integer.parseInt(line.trim().substring(line.indexOf("0x") + 2), 16));
|
||||
Log.d(LOG_TAG, "Binned cpu variants (variant, count): " + binnedValues(variants));
|
||||
return countKeepingMin(variants);
|
||||
}
|
||||
|
||||
@RequiresApi(api = Build.VERSION_CODES.N)
|
||||
private Map<Integer, Integer> binnedValues(List<Integer> values) {
|
||||
Map<Integer, Integer> countMap = new HashMap<>();
|
||||
for (int value : values) {
|
||||
countMap.put(value, countMap.getOrDefault(value, 0) + 1);
|
||||
}
|
||||
return countMap;
|
||||
}
|
||||
|
||||
@RequiresApi(api = Build.VERSION_CODES.N)
|
||||
private List<Integer> getCpuValues(String property, Mapper mapper) {
|
||||
List<Integer> values = new ArrayList<>();
|
||||
for (String line : lines) {
|
||||
if (line.startsWith(property)) {
|
||||
values.add(mapper.map(line.substring(line.indexOf(':') + 1)));
|
||||
}
|
||||
}
|
||||
values.sort(Integer::compareTo);
|
||||
return values;
|
||||
}
|
||||
|
||||
@RequiresApi(api = Build.VERSION_CODES.N)
|
||||
private int countDroppingMin(List<Integer> values) {
|
||||
int min = values.stream().mapToInt(i -> i).min().orElse(Integer.MAX_VALUE);
|
||||
return (int) values.stream().filter(value -> value > min).count();
|
||||
}
|
||||
|
||||
@RequiresApi(api = Build.VERSION_CODES.N)
|
||||
private int countKeepingMin(List<Integer> values) {
|
||||
int min = values.stream().mapToInt(i -> i).min().orElse(Integer.MAX_VALUE);
|
||||
return (int) values.stream().filter(value -> value.equals(min)).count();
|
||||
}
|
||||
|
||||
@RequiresApi(api = Build.VERSION_CODES.N)
|
||||
public static int getHighPerfCpuCount() {
|
||||
try {
|
||||
return readCpuInfo().getHighPerfCpuCount0();
|
||||
} catch (Exception e) {
|
||||
Log.d(LOG_TAG, "Couldn't read CPU info", e);
|
||||
return Math.max(Runtime.getRuntime().availableProcessors() - 4, 0);
|
||||
}
|
||||
}
|
||||
|
||||
private static CpuInfo readCpuInfo() throws IOException {
|
||||
try (BufferedReader reader = new BufferedReader(new FileReader("/proc/cpuinfo"))) {
|
||||
List<String> lines = new ArrayList<>();
|
||||
String line;
|
||||
while ((line = reader.readLine()) != null) {
|
||||
lines.add(line);
|
||||
}
|
||||
return new CpuInfo(lines);
|
||||
}
|
||||
}
|
||||
|
||||
private static int getMaxCpuFrequency(int cpuIndex) throws IOException {
|
||||
String path = "/sys/devices/system/cpu/cpu" + cpuIndex + "/cpufreq/cpuinfo_max_freq";
|
||||
try (BufferedReader reader = new BufferedReader(new FileReader(path))) {
|
||||
return Integer.parseInt(reader.readLine());
|
||||
}
|
||||
}
|
||||
|
||||
private interface Mapper {
|
||||
int map(String line);
|
||||
}
|
||||
}
|
@ -1,138 +0,0 @@
|
||||
package com.whispercpp.java.whisper;
|
||||
|
||||
import android.content.res.AssetManager;
|
||||
import android.os.Build;
|
||||
import android.util.Log;
|
||||
|
||||
import androidx.annotation.RequiresApi;
|
||||
|
||||
import com.litongjava.whisper.android.java.bean.WhisperSegment;
|
||||
|
||||
import java.io.InputStream;
|
||||
import java.util.ArrayList;
|
||||
import java.util.List;
|
||||
import java.util.concurrent.Callable;
|
||||
import java.util.concurrent.ExecutionException;
|
||||
import java.util.concurrent.ExecutorService;
|
||||
import java.util.concurrent.Executors;
|
||||
|
||||
public class WhisperContext {
|
||||
|
||||
private static final String LOG_TAG = "LibWhisper";
|
||||
private long ptr;
|
||||
private final ExecutorService executorService;
|
||||
|
||||
private WhisperContext(long ptr) {
|
||||
this.ptr = ptr;
|
||||
this.executorService = Executors.newSingleThreadExecutor();
|
||||
}
|
||||
|
||||
public String transcribeData(float[] data) throws ExecutionException, InterruptedException {
|
||||
return executorService.submit(new Callable<String>() {
|
||||
@RequiresApi(api = Build.VERSION_CODES.O)
|
||||
@Override
|
||||
public String call() throws Exception {
|
||||
if (ptr == 0L) {
|
||||
throw new IllegalStateException();
|
||||
}
|
||||
int numThreads = WhisperCpuConfig.getPreferredThreadCount();
|
||||
Log.d(LOG_TAG, "Selecting " + numThreads + " threads");
|
||||
|
||||
StringBuilder result = new StringBuilder();
|
||||
synchronized (this) {
|
||||
|
||||
WhisperLib.fullTranscribe(ptr, numThreads, data);
|
||||
int textCount = WhisperLib.getTextSegmentCount(ptr);
|
||||
for (int i = 0; i < textCount; i++) {
|
||||
String sentence = WhisperLib.getTextSegment(ptr, i);
|
||||
result.append(sentence);
|
||||
}
|
||||
}
|
||||
return result.toString();
|
||||
}
|
||||
}).get();
|
||||
}
|
||||
|
||||
public List<WhisperSegment> transcribeDataWithTime(float[] data) throws ExecutionException, InterruptedException {
|
||||
return executorService.submit(new Callable<List<WhisperSegment>>() {
|
||||
@RequiresApi(api = Build.VERSION_CODES.O)
|
||||
@Override
|
||||
public List<WhisperSegment> call() throws Exception {
|
||||
if (ptr == 0L) {
|
||||
throw new IllegalStateException();
|
||||
}
|
||||
int numThreads = WhisperCpuConfig.getPreferredThreadCount();
|
||||
Log.d(LOG_TAG, "Selecting " + numThreads + " threads");
|
||||
|
||||
List<WhisperSegment> segments = new ArrayList<>();
|
||||
synchronized (this) {
|
||||
// StringBuilder result = new StringBuilder();
|
||||
WhisperLib.fullTranscribe(ptr, numThreads, data);
|
||||
int textCount = WhisperLib.getTextSegmentCount(ptr);
|
||||
for (int i = 0; i < textCount; i++) {
|
||||
long start = WhisperLib.getTextSegmentT0(ptr, i);
|
||||
String sentence = WhisperLib.getTextSegment(ptr, i);
|
||||
long end = WhisperLib.getTextSegmentT1(ptr, i);
|
||||
// result.append();
|
||||
segments.add(new WhisperSegment(start, end, sentence));
|
||||
|
||||
}
|
||||
// return result.toString();
|
||||
}
|
||||
return segments;
|
||||
}
|
||||
}).get();
|
||||
}
|
||||
|
||||
@RequiresApi(api = Build.VERSION_CODES.O)
|
||||
public String benchMemory(int nthreads) throws ExecutionException, InterruptedException {
|
||||
return executorService.submit(() -> WhisperLib.benchMemcpy(nthreads)).get();
|
||||
}
|
||||
|
||||
@RequiresApi(api = Build.VERSION_CODES.O)
|
||||
public String benchGgmlMulMat(int nthreads) throws ExecutionException, InterruptedException {
|
||||
return executorService.submit(() -> WhisperLib.benchGgmlMulMat(nthreads)).get();
|
||||
}
|
||||
|
||||
@RequiresApi(api = Build.VERSION_CODES.O)
|
||||
public void release() throws ExecutionException, InterruptedException {
|
||||
executorService.submit(() -> {
|
||||
if (ptr != 0L) {
|
||||
WhisperLib.freeContext(ptr);
|
||||
ptr = 0;
|
||||
}
|
||||
}).get();
|
||||
}
|
||||
|
||||
@RequiresApi(api = Build.VERSION_CODES.O)
|
||||
public static WhisperContext createContextFromFile(String filePath) {
|
||||
long ptr = WhisperLib.initContext(filePath);
|
||||
if (ptr == 0L) {
|
||||
throw new RuntimeException("Couldn't create context with path " + filePath);
|
||||
}
|
||||
return new WhisperContext(ptr);
|
||||
}
|
||||
|
||||
@RequiresApi(api = Build.VERSION_CODES.O)
|
||||
public static WhisperContext createContextFromInputStream(InputStream stream) {
|
||||
long ptr = WhisperLib.initContextFromInputStream(stream);
|
||||
if (ptr == 0L) {
|
||||
throw new RuntimeException("Couldn't create context from input stream");
|
||||
}
|
||||
return new WhisperContext(ptr);
|
||||
}
|
||||
|
||||
@RequiresApi(api = Build.VERSION_CODES.O)
|
||||
public static WhisperContext createContextFromAsset(AssetManager assetManager, String assetPath) {
|
||||
long ptr = WhisperLib.initContextFromAsset(assetManager, assetPath);
|
||||
if (ptr == 0L) {
|
||||
throw new RuntimeException("Couldn't create context from asset " + assetPath);
|
||||
}
|
||||
return new WhisperContext(ptr);
|
||||
}
|
||||
|
||||
@RequiresApi(api = Build.VERSION_CODES.O)
|
||||
public static String getSystemInfo() {
|
||||
return WhisperLib.getSystemInfo();
|
||||
}
|
||||
}
|