mirror of
https://github.com/mudler/LocalAI.git
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feat(parler-tts): Add new backend
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
This commit is contained in:
parent
b91820b7f8
commit
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29
.github/workflows/test-extra.yml
vendored
29
.github/workflows/test-extra.yml
vendored
@ -104,6 +104,35 @@ jobs:
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make --jobs=5 --output-sync=target -C backend/python/diffusers
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make --jobs=5 --output-sync=target -C backend/python/diffusers test
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tests-parler-tts:
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runs-on: ubuntu-latest
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steps:
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- name: Clone
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uses: actions/checkout@v4
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with:
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submodules: true
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- name: Dependencies
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run: |
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sudo apt-get update
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sudo apt-get install build-essential ffmpeg
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curl https://repo.anaconda.com/pkgs/misc/gpgkeys/anaconda.asc | gpg --dearmor > conda.gpg && \
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sudo install -o root -g root -m 644 conda.gpg /usr/share/keyrings/conda-archive-keyring.gpg && \
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gpg --keyring /usr/share/keyrings/conda-archive-keyring.gpg --no-default-keyring --fingerprint 34161F5BF5EB1D4BFBBB8F0A8AEB4F8B29D82806 && \
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sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" > /etc/apt/sources.list.d/conda.list' && \
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sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" | tee -a /etc/apt/sources.list.d/conda.list' && \
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sudo apt-get update && \
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sudo apt-get install -y conda
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sudo apt-get install -y ca-certificates cmake curl patch python3-pip
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sudo apt-get install -y libopencv-dev
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pip install --user grpcio-tools
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sudo rm -rfv /usr/bin/conda || true
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- name: Test parler-tts
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run: |
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export PATH=$PATH:/opt/conda/bin
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make --jobs=5 --output-sync=target -C backend/python/parler-tts
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make --jobs=5 --output-sync=target -C backend/python/parler-tts test
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tests-transformers-musicgen:
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runs-on: ubuntu-latest
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@ -15,7 +15,7 @@ ARG TARGETVARIANT
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ENV BUILD_TYPE=${BUILD_TYPE}
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ENV DEBIAN_FRONTEND=noninteractive
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ENV EXTERNAL_GRPC_BACKENDS="coqui:/build/backend/python/coqui/run.sh,huggingface-embeddings:/build/backend/python/sentencetransformers/run.sh,petals:/build/backend/python/petals/run.sh,transformers:/build/backend/python/transformers/run.sh,sentencetransformers:/build/backend/python/sentencetransformers/run.sh,autogptq:/build/backend/python/autogptq/run.sh,bark:/build/backend/python/bark/run.sh,diffusers:/build/backend/python/diffusers/run.sh,exllama:/build/backend/python/exllama/run.sh,vall-e-x:/build/backend/python/vall-e-x/run.sh,vllm:/build/backend/python/vllm/run.sh,mamba:/build/backend/python/mamba/run.sh,exllama2:/build/backend/python/exllama2/run.sh,transformers-musicgen:/build/backend/python/transformers-musicgen/run.sh"
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ENV EXTERNAL_GRPC_BACKENDS="coqui:/build/backend/python/coqui/run.sh,huggingface-embeddings:/build/backend/python/sentencetransformers/run.sh,petals:/build/backend/python/petals/run.sh,transformers:/build/backend/python/transformers/run.sh,sentencetransformers:/build/backend/python/sentencetransformers/run.sh,autogptq:/build/backend/python/autogptq/run.sh,bark:/build/backend/python/bark/run.sh,diffusers:/build/backend/python/diffusers/run.sh,exllama:/build/backend/python/exllama/run.sh,vall-e-x:/build/backend/python/vall-e-x/run.sh,vllm:/build/backend/python/vllm/run.sh,mamba:/build/backend/python/mamba/run.sh,exllama2:/build/backend/python/exllama2/run.sh,transformers-musicgen:/build/backend/python/transformers-musicgen/run.sh,parler-tts:/build/backend/python/parler-tts/run.sh"
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ARG GO_TAGS="stablediffusion tinydream tts"
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@ -275,6 +275,9 @@ RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
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RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
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make -C backend/python/transformers-musicgen \
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; fi
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RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
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make -C backend/python/parler-tts \
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; fi
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RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
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make -C backend/python/coqui \
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; fi
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13
Makefile
13
Makefile
@ -439,10 +439,10 @@ protogen-go-clean:
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$(RM) bin/*
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.PHONY: protogen-python
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protogen-python: autogptq-protogen bark-protogen coqui-protogen diffusers-protogen exllama-protogen exllama2-protogen mamba-protogen petals-protogen sentencetransformers-protogen transformers-protogen transformers-musicgen-protogen vall-e-x-protogen vllm-protogen
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protogen-python: autogptq-protogen bark-protogen coqui-protogen diffusers-protogen exllama-protogen exllama2-protogen mamba-protogen petals-protogen sentencetransformers-protogen transformers-protogen parler-tts-protogen transformers-musicgen-protogen vall-e-x-protogen vllm-protogen
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.PHONY: protogen-python-clean
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protogen-python-clean: autogptq-protogen-clean bark-protogen-clean coqui-protogen-clean diffusers-protogen-clean exllama-protogen-clean exllama2-protogen-clean mamba-protogen-clean petals-protogen-clean sentencetransformers-protogen-clean transformers-protogen-clean transformers-musicgen-protogen-clean vall-e-x-protogen-clean vllm-protogen-clean
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protogen-python-clean: autogptq-protogen-clean bark-protogen-clean coqui-protogen-clean diffusers-protogen-clean exllama-protogen-clean exllama2-protogen-clean mamba-protogen-clean petals-protogen-clean sentencetransformers-protogen-clean transformers-protogen-clean transformers-musicgen-protogen-clean parler-tts-protogen-clean vall-e-x-protogen-clean vllm-protogen-clean
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.PHONY: autogptq-protogen
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autogptq-protogen:
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@ -524,6 +524,14 @@ transformers-protogen:
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transformers-protogen-clean:
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$(MAKE) -C backend/python/transformers protogen-clean
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.PHONY: parler-tts-protogen
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parler-tts-protogen:
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$(MAKE) -C backend/python/parler-tts protogen
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.PHONY: parler-tts-protogen-clean
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parler-tts-protogen-clean:
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$(MAKE) -C backend/python/parler-tts protogen-clean
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.PHONY: transformers-musicgen-protogen
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transformers-musicgen-protogen:
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$(MAKE) -C backend/python/transformers-musicgen protogen
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@ -560,6 +568,7 @@ prepare-extra-conda-environments: protogen-python
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$(MAKE) -C backend/python/sentencetransformers
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$(MAKE) -C backend/python/transformers
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$(MAKE) -C backend/python/transformers-musicgen
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$(MAKE) -C backend/python/parler-tts
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$(MAKE) -C backend/python/vall-e-x
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$(MAKE) -C backend/python/exllama
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$(MAKE) -C backend/python/petals
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@ -120,4 +120,6 @@ dependencies:
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- transformers>=4.38.2 # Updated Version
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- transformers_stream_generator==0.0.5
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- xformers==0.0.23.post1
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- descript-audio-codec
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- git+https://github.com/huggingface/parler-tts.git@10016fb0300c0dc31a0fb70e26f3affee7b62f16
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prefix: /opt/conda/envs/transformers
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@ -108,4 +108,6 @@ dependencies:
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- transformers>=4.38.2 # Updated Version
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- transformers_stream_generator==0.0.5
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- xformers==0.0.23.post1
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- descript-audio-codec
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- git+https://github.com/huggingface/parler-tts.git@10016fb0300c0dc31a0fb70e26f3affee7b62f16
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prefix: /opt/conda/envs/transformers
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@ -112,4 +112,6 @@ dependencies:
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- transformers>=4.38.2 # Updated Version
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- transformers_stream_generator==0.0.5
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- xformers==0.0.23.post1
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- descript-audio-codec
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- git+https://github.com/huggingface/parler-tts.git@10016fb0300c0dc31a0fb70e26f3affee7b62f16
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prefix: /opt/conda/envs/transformers
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25
backend/python/parler-tts/Makefile
Normal file
25
backend/python/parler-tts/Makefile
Normal file
@ -0,0 +1,25 @@
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.PHONY: parler-tts
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parler-tts: protogen
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$(MAKE) -C ../common-env/transformers
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.PHONY: run
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run: protogen
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@echo "Running transformers..."
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bash run.sh
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@echo "transformers run."
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.PHONY: test
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test: protogen
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@echo "Testing transformers..."
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bash test.sh
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@echo "transformers tested."
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.PHONY: protogen
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protogen: backend_pb2_grpc.py backend_pb2.py
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.PHONY: protogen-clean
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protogen-clean:
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$(RM) backend_pb2_grpc.py backend_pb2.py
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backend_pb2_grpc.py backend_pb2.py:
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python3 -m grpc_tools.protoc -I../.. --python_out=. --grpc_python_out=. backend.proto
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125
backend/python/parler-tts/parler_tts_server.py
Normal file
125
backend/python/parler-tts/parler_tts_server.py
Normal file
@ -0,0 +1,125 @@
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#!/usr/bin/env python3
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"""
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Extra gRPC server for MusicgenForConditionalGeneration models.
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"""
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from concurrent import futures
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import argparse
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import signal
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import sys
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import os
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import time
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import backend_pb2
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import backend_pb2_grpc
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import grpc
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from scipy.io.wavfile import write as write_wav
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from parler_tts import ParlerTTSForConditionalGeneration
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from transformers import AutoTokenizer
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import soundfile as sf
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import torch
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_ONE_DAY_IN_SECONDS = 60 * 60 * 24
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# If MAX_WORKERS are specified in the environment use it, otherwise default to 1
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MAX_WORKERS = int(os.environ.get('PYTHON_GRPC_MAX_WORKERS', '1'))
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# Implement the BackendServicer class with the service methods
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class BackendServicer(backend_pb2_grpc.BackendServicer):
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"""
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A gRPC servicer for the backend service.
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This class implements the gRPC methods for the backend service, including Health, LoadModel, and Embedding.
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"""
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def Health(self, request, context):
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"""
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A gRPC method that returns the health status of the backend service.
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Args:
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request: A HealthRequest object that contains the request parameters.
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context: A grpc.ServicerContext object that provides information about the RPC.
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Returns:
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A Reply object that contains the health status of the backend service.
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"""
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return backend_pb2.Reply(message=bytes("OK", 'utf-8'))
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def LoadModel(self, request, context):
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"""
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A gRPC method that loads a model into memory.
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Args:
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request: A LoadModelRequest object that contains the request parameters.
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context: A grpc.ServicerContext object that provides information about the RPC.
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Returns:
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A Result object that contains the result of the LoadModel operation.
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"""
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model_name = request.Model
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device = "cuda:0" if torch.cuda.is_available() else "cpu"
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try:
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self.model = ParlerTTSForConditionalGeneration.from_pretrained(model_name).to(device)
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self.tokenizer = AutoTokenizer.from_pretrained(model_name)
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except Exception as err:
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return backend_pb2.Result(success=False, message=f"Unexpected {err=}, {type(err)=}")
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return backend_pb2.Result(message="Model loaded successfully", success=True)
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def TTS(self, request, context):
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model_name = request.model
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voice = request.voice
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if voice == "":
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voice = "A female speaker with a slightly low-pitched voice delivers her words quite expressively, in a very confined sounding environment with clear audio quality. She speaks very fast."
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if model_name == "":
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return backend_pb2.Result(success=False, message="request.model is required")
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try:
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device = "cuda:0" if torch.cuda.is_available() else "cpu"
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input_ids = self.tokenizer(voice, return_tensors="pt").input_ids.to(device)
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prompt_input_ids = self.tokenizer(request.text, return_tensors="pt").input_ids.to(device)
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generation = self.model.generate(input_ids=input_ids, prompt_input_ids=prompt_input_ids)
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audio_arr = generation.cpu().numpy().squeeze()
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print("[parler-tts] TTS generated!", file=sys.stderr)
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sf.write(request.dst, audio_arr, self.model.config.sampling_rate)
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print("[parler-tts] TTS saved to", request.dst, file=sys.stderr)
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print("[parler-tts] TTS for", file=sys.stderr)
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print(request, file=sys.stderr)
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except Exception as err:
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return backend_pb2.Result(success=False, message=f"Unexpected {err=}, {type(err)=}")
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return backend_pb2.Result(success=True)
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def serve(address):
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server = grpc.server(futures.ThreadPoolExecutor(max_workers=MAX_WORKERS))
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backend_pb2_grpc.add_BackendServicer_to_server(BackendServicer(), server)
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server.add_insecure_port(address)
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server.start()
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print("[parler-tts] Server started. Listening on: " + address, file=sys.stderr)
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# Define the signal handler function
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def signal_handler(sig, frame):
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print("[parler-tts] Received termination signal. Shutting down...")
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server.stop(0)
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sys.exit(0)
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# Set the signal handlers for SIGINT and SIGTERM
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signal.signal(signal.SIGINT, signal_handler)
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signal.signal(signal.SIGTERM, signal_handler)
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try:
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while True:
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time.sleep(_ONE_DAY_IN_SECONDS)
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except KeyboardInterrupt:
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server.stop(0)
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description="Run the gRPC server.")
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parser.add_argument(
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"--addr", default="localhost:50051", help="The address to bind the server to."
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)
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args = parser.parse_args()
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print(f"[parler-tts] startup: {args}", file=sys.stderr)
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serve(args.addr)
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16
backend/python/parler-tts/run.sh
Normal file
16
backend/python/parler-tts/run.sh
Normal file
@ -0,0 +1,16 @@
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#!/bin/bash
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##
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## A bash script wrapper that runs the parler-tts server with conda
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echo "Launching gRPC server for parler-tts"
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export PATH=$PATH:/opt/conda/bin
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# Activate conda environment
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source activate transformers
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# get the directory where the bash script is located
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DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
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python $DIR/parler_tts_server.py $@
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11
backend/python/parler-tts/test.sh
Normal file
11
backend/python/parler-tts/test.sh
Normal file
@ -0,0 +1,11 @@
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#!/bin/bash
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##
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## A bash script wrapper that runs the transformers server with conda
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# Activate conda environment
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source activate transformers
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# get the directory where the bash script is located
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DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
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python -m unittest $DIR/test_parler.py
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81
backend/python/parler-tts/test_parler.py
Normal file
81
backend/python/parler-tts/test_parler.py
Normal file
@ -0,0 +1,81 @@
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"""
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A test script to test the gRPC service
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"""
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import unittest
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import subprocess
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import time
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import backend_pb2
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import backend_pb2_grpc
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import grpc
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class TestBackendServicer(unittest.TestCase):
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"""
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TestBackendServicer is the class that tests the gRPC service
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"""
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def setUp(self):
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"""
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This method sets up the gRPC service by starting the server
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"""
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self.service = subprocess.Popen(["python3", "parler_tts_server.py", "--addr", "localhost:50051"])
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time.sleep(10)
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def tearDown(self) -> None:
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"""
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This method tears down the gRPC service by terminating the server
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"""
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self.service.terminate()
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self.service.wait()
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def test_server_startup(self):
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"""
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This method tests if the server starts up successfully
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"""
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try:
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self.setUp()
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with grpc.insecure_channel("localhost:50051") as channel:
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stub = backend_pb2_grpc.BackendStub(channel)
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response = stub.Health(backend_pb2.HealthMessage())
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self.assertEqual(response.message, b'OK')
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except Exception as err:
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print(err)
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self.fail("Server failed to start")
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finally:
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self.tearDown()
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def test_load_model(self):
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"""
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This method tests if the model is loaded successfully
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"""
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try:
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self.setUp()
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with grpc.insecure_channel("localhost:50051") as channel:
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stub = backend_pb2_grpc.BackendStub(channel)
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response = stub.LoadModel(backend_pb2.ModelOptions(Model="parler-tts/parler_tts_mini_v0.1"))
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self.assertTrue(response.success)
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self.assertEqual(response.message, "Model loaded successfully")
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except Exception as err:
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print(err)
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self.fail("LoadModel service failed")
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finally:
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self.tearDown()
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def test_tts(self):
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"""
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This method tests if the embeddings are generated successfully
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"""
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try:
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self.setUp()
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with grpc.insecure_channel("localhost:50051") as channel:
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stub = backend_pb2_grpc.BackendStub(channel)
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response = stub.LoadModel(backend_pb2.ModelOptions(Model="parler-tts/parler_tts_mini_v0.1"))
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self.assertTrue(response.success)
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tts_request = backend_pb2.TTSRequest(text="Hey, how are you doing today?")
|
||||
tts_response = stub.TTS(tts_request)
|
||||
self.assertIsNotNone(tts_response)
|
||||
except Exception as err:
|
||||
print(err)
|
||||
self.fail("TTS service failed")
|
||||
finally:
|
||||
self.tearDown()
|
@ -8,7 +8,7 @@ echo "Launching gRPC server for transformers-musicgen"
|
||||
export PATH=$PATH:/opt/conda/bin
|
||||
|
||||
# Activate conda environment
|
||||
source activate transformers-musicgen
|
||||
source activate transformers
|
||||
|
||||
# get the directory where the bash script is located
|
||||
DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
|
||||
|
Loading…
Reference in New Issue
Block a user