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feat(parler-tts): Add new backend (#2027)
* feat(parler-tts): Add new backend
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat(parler-tts): try downgrade protobuf
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat(parler-tts): add parler conda env
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Revert "feat(parler-tts): try downgrade protobuf"
This reverts commit bd5941d5cfc00676b45a99f71debf3c34249cf3c.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* deps: add grpc
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix: try to gen proto with same environment
* workaround
* Revert "fix: try to gen proto with same environment"
This reverts commit 998c745e2f
.
* Workaround fixup
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Dave <dave@gray101.com>
This commit is contained in:
parent
619f2517a4
commit
0fdff26924
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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39
backend/python/parler-tts/Makefile
Normal file
39
backend/python/parler-tts/Makefile
Normal file
@ -0,0 +1,39 @@
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export CONDA_ENV_PATH = "parler.yml"
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SKIP_CONDA?=0
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ifeq ($(BUILD_TYPE), cublas)
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export CONDA_ENV_PATH = "parler-nvidia.yml"
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endif
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# Intel GPU are supposed to have dependencies installed in the main python
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# environment, so we skip conda installation for SYCL builds.
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# https://github.com/intel/intel-extension-for-pytorch/issues/538
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ifneq (,$(findstring sycl,$(BUILD_TYPE)))
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export SKIP_CONDA=1
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endif
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.PHONY: parler-tts
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parler-tts: protogen
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@echo "Installing $(CONDA_ENV_PATH)..."
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bash install.sh $(CONDA_ENV_PATH)
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.PHONY: run
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run: protogen
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@echo "Running transformers..."
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bash run.sh
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@echo "transformers run."
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.PHONY: test
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test: protogen
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@echo "Testing transformers..."
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bash test.sh
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@echo "transformers tested."
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.PHONY: protogen
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protogen: backend_pb2_grpc.py backend_pb2.py
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.PHONY: protogen-clean
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protogen-clean:
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$(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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39
backend/python/parler-tts/install.sh
Executable file
39
backend/python/parler-tts/install.sh
Executable file
@ -0,0 +1,39 @@
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#!/bin/bash
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set -ex
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SKIP_CONDA=${SKIP_CONDA:-0}
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# Check if environment exist
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conda_env_exists(){
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! conda list --name "${@}" >/dev/null 2>/dev/null
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}
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if [ $SKIP_CONDA -eq 1 ]; then
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echo "Skipping conda environment installation"
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else
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export PATH=$PATH:/opt/conda/bin
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if conda_env_exists "parler" ; then
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echo "Creating virtual environment..."
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conda env create --name parler --file $1
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echo "Virtual environment created."
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else
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echo "Virtual environment already exists."
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fi
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fi
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if [ $SKIP_CONDA -ne 1 ]; then
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# Activate conda environment
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source activate parler
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# https://github.com/descriptinc/audiotools/issues/101
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# incompatible protobuf versions.
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curl -L https://raw.githubusercontent.com/protocolbuffers/protobuf/main/python/google/protobuf/internal/builder.py -o $CONDA_PREFIX/lib/python3.11/site-packages/google/protobuf/internal/builder.py
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fi
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if [ "$PIP_CACHE_PURGE" = true ] ; then
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if [ $SKIP_CONDA -ne 1 ]; then
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# Activate conda environment
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source activate parler
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fi
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pip cache purge
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fi
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48
backend/python/parler-tts/parler-nvidia.yml
Normal file
48
backend/python/parler-tts/parler-nvidia.yml
Normal file
@ -0,0 +1,48 @@
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name: parler
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channels:
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- defaults
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dependencies:
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- _libgcc_mutex=0.1=main
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- _openmp_mutex=5.1=1_gnu
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- bzip2=1.0.8=h7b6447c_0
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- ca-certificates=2023.08.22=h06a4308_0
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- ld_impl_linux-64=2.38=h1181459_1
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- libffi=3.4.4=h6a678d5_0
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- libgcc-ng=11.2.0=h1234567_1
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- libgomp=11.2.0=h1234567_1
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- libstdcxx-ng=11.2.0=h1234567_1
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- libuuid=1.41.5=h5eee18b_0
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- ncurses=6.4=h6a678d5_0
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- openssl=3.0.11=h7f8727e_2
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- pip=23.2.1=py311h06a4308_0
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- python=3.11.5=h955ad1f_0
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- readline=8.2=h5eee18b_0
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- setuptools=68.0.0=py311h06a4308_0
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- sqlite=3.41.2=h5eee18b_0
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- tk=8.6.12=h1ccaba5_0
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- tzdata=2023c=h04d1e81_0
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- wheel=0.41.2=py311h06a4308_0
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- xz=5.4.2=h5eee18b_0
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- zlib=1.2.13=h5eee18b_0
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- pip:
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- accelerate>=0.11.0
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- grpcio==1.59.0
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- numpy==1.26.0
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- nvidia-cublas-cu12==12.1.3.1
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- nvidia-cuda-cupti-cu12==12.1.105
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- nvidia-cuda-nvrtc-cu12==12.1.105
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- nvidia-cuda-runtime-cu12==12.1.105
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- nvidia-cudnn-cu12==8.9.2.26
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- nvidia-cufft-cu12==11.0.2.54
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- nvidia-curand-cu12==10.3.2.106
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- nvidia-cusolver-cu12==11.4.5.107
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- nvidia-cusparse-cu12==12.1.0.106
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- nvidia-nccl-cu12==2.18.1
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- nvidia-nvjitlink-cu12==12.2.140
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- nvidia-nvtx-cu12==12.1.105
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- torch==2.1.0
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- transformers>=4.34.0
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- descript-audio-codec
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- sentencepiece
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- git+https://github.com/huggingface/parler-tts.git@10016fb0300c0dc31a0fb70e26f3affee7b62f16
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prefix: /opt/conda/envs/diffusers
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36
backend/python/parler-tts/parler.yml
Normal file
36
backend/python/parler-tts/parler.yml
Normal file
@ -0,0 +1,36 @@
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name: parler
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channels:
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- defaults
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dependencies:
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- _libgcc_mutex=0.1=main
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- _openmp_mutex=5.1=1_gnu
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- bzip2=1.0.8=h7b6447c_0
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- ca-certificates=2023.08.22=h06a4308_0
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- ld_impl_linux-64=2.38=h1181459_1
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- libffi=3.4.4=h6a678d5_0
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- libgcc-ng=11.2.0=h1234567_1
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- libgomp=11.2.0=h1234567_1
|
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- libstdcxx-ng=11.2.0=h1234567_1
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- libuuid=1.41.5=h5eee18b_0
|
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- ncurses=6.4=h6a678d5_0
|
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- openssl=3.0.11=h7f8727e_2
|
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- pip=23.2.1=py311h06a4308_0
|
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- python=3.11.5=h955ad1f_0
|
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- readline=8.2=h5eee18b_0
|
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- setuptools=68.0.0=py311h06a4308_0
|
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- sqlite=3.41.2=h5eee18b_0
|
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- tk=8.6.12=h1ccaba5_0
|
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- tzdata=2023c=h04d1e81_0
|
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- wheel=0.41.2=py311h06a4308_0
|
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- xz=5.4.2=h5eee18b_0
|
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- zlib=1.2.13=h5eee18b_0
|
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- pip:
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- accelerate>=0.11.0
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- numpy==1.26.0
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- grpcio==1.59.0
|
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- torch==2.1.0
|
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- transformers>=4.34.0
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- descript-audio-codec
|
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- sentencepiece
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- git+https://github.com/huggingface/parler-tts.git@10016fb0300c0dc31a0fb70e26f3affee7b62f16
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prefix: /opt/conda/envs/parler
|
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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|
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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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|
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import grpc
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from scipy.io.wavfile import write as write_wav
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|
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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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|
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_ONE_DAY_IN_SECONDS = 60 * 60 * 24
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|
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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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|
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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.
|
||||
|
||||
This class implements the gRPC methods for the backend service, including Health, LoadModel, and Embedding.
|
||||
"""
|
||||
def Health(self, request, context):
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||||
"""
|
||||
A gRPC method that returns the health status of the backend service.
|
||||
|
||||
Args:
|
||||
request: A HealthRequest object that contains the request parameters.
|
||||
context: A grpc.ServicerContext object that provides information about the RPC.
|
||||
|
||||
Returns:
|
||||
A Reply object that contains the health status of the backend service.
|
||||
"""
|
||||
return backend_pb2.Reply(message=bytes("OK", 'utf-8'))
|
||||
|
||||
def LoadModel(self, request, context):
|
||||
"""
|
||||
A gRPC method that loads a model into memory.
|
||||
|
||||
Args:
|
||||
request: A LoadModelRequest object that contains the request parameters.
|
||||
context: A grpc.ServicerContext object that provides information about the RPC.
|
||||
|
||||
Returns:
|
||||
A Result object that contains the result of the LoadModel operation.
|
||||
"""
|
||||
model_name = request.Model
|
||||
device = "cuda:0" if torch.cuda.is_available() else "cpu"
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||||
try:
|
||||
self.model = ParlerTTSForConditionalGeneration.from_pretrained(model_name).to(device)
|
||||
self.tokenizer = AutoTokenizer.from_pretrained(model_name)
|
||||
except Exception as err:
|
||||
return backend_pb2.Result(success=False, message=f"Unexpected {err=}, {type(err)=}")
|
||||
|
||||
return backend_pb2.Result(message="Model loaded successfully", success=True)
|
||||
|
||||
def TTS(self, request, context):
|
||||
model_name = request.model
|
||||
voice = request.voice
|
||||
if voice == "":
|
||||
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."
|
||||
if model_name == "":
|
||||
return backend_pb2.Result(success=False, message="request.model is required")
|
||||
try:
|
||||
device = "cuda:0" if torch.cuda.is_available() else "cpu"
|
||||
input_ids = self.tokenizer(voice, return_tensors="pt").input_ids.to(device)
|
||||
prompt_input_ids = self.tokenizer(request.text, return_tensors="pt").input_ids.to(device)
|
||||
|
||||
generation = self.model.generate(input_ids=input_ids, prompt_input_ids=prompt_input_ids)
|
||||
audio_arr = generation.cpu().numpy().squeeze()
|
||||
print("[parler-tts] TTS generated!", file=sys.stderr)
|
||||
sf.write(request.dst, audio_arr, self.model.config.sampling_rate)
|
||||
print("[parler-tts] TTS saved to", request.dst, file=sys.stderr)
|
||||
print("[parler-tts] TTS for", file=sys.stderr)
|
||||
print(request, file=sys.stderr)
|
||||
except Exception as err:
|
||||
return backend_pb2.Result(success=False, message=f"Unexpected {err=}, {type(err)=}")
|
||||
return backend_pb2.Result(success=True)
|
||||
|
||||
|
||||
def serve(address):
|
||||
server = grpc.server(futures.ThreadPoolExecutor(max_workers=MAX_WORKERS))
|
||||
backend_pb2_grpc.add_BackendServicer_to_server(BackendServicer(), server)
|
||||
server.add_insecure_port(address)
|
||||
server.start()
|
||||
print("[parler-tts] Server started. Listening on: " + address, file=sys.stderr)
|
||||
|
||||
# Define the signal handler function
|
||||
def signal_handler(sig, frame):
|
||||
print("[parler-tts] Received termination signal. Shutting down...")
|
||||
server.stop(0)
|
||||
sys.exit(0)
|
||||
|
||||
# Set the signal handlers for SIGINT and SIGTERM
|
||||
signal.signal(signal.SIGINT, signal_handler)
|
||||
signal.signal(signal.SIGTERM, signal_handler)
|
||||
|
||||
try:
|
||||
while True:
|
||||
time.sleep(_ONE_DAY_IN_SECONDS)
|
||||
except KeyboardInterrupt:
|
||||
server.stop(0)
|
||||
|
||||
if __name__ == "__main__":
|
||||
parser = argparse.ArgumentParser(description="Run the gRPC server.")
|
||||
parser.add_argument(
|
||||
"--addr", default="localhost:50051", help="The address to bind the server to."
|
||||
)
|
||||
args = parser.parse_args()
|
||||
print(f"[parler-tts] startup: {args}", file=sys.stderr)
|
||||
serve(args.addr)
|
16
backend/python/parler-tts/run.sh
Normal file
16
backend/python/parler-tts/run.sh
Normal file
@ -0,0 +1,16 @@
|
||||
#!/bin/bash
|
||||
|
||||
##
|
||||
## A bash script wrapper that runs the parler-tts server with conda
|
||||
|
||||
echo "Launching gRPC server for parler-tts"
|
||||
|
||||
export PATH=$PATH:/opt/conda/bin
|
||||
|
||||
# Activate conda environment
|
||||
source activate parler
|
||||
|
||||
# get the directory where the bash script is located
|
||||
DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
|
||||
|
||||
python $DIR/parler_tts_server.py $@
|
11
backend/python/parler-tts/test.sh
Normal file
11
backend/python/parler-tts/test.sh
Normal file
@ -0,0 +1,11 @@
|
||||
#!/bin/bash
|
||||
##
|
||||
## A bash script wrapper that runs the transformers server with conda
|
||||
|
||||
# Activate conda environment
|
||||
source activate parler
|
||||
|
||||
# get the directory where the bash script is located
|
||||
DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
|
||||
|
||||
python -m unittest $DIR/test_parler.py
|
81
backend/python/parler-tts/test_parler.py
Normal file
81
backend/python/parler-tts/test_parler.py
Normal file
@ -0,0 +1,81 @@
|
||||
"""
|
||||
A test script to test the gRPC service
|
||||
"""
|
||||
import unittest
|
||||
import subprocess
|
||||
import time
|
||||
import backend_pb2
|
||||
import backend_pb2_grpc
|
||||
|
||||
import grpc
|
||||
|
||||
|
||||
class TestBackendServicer(unittest.TestCase):
|
||||
"""
|
||||
TestBackendServicer is the class that tests the gRPC service
|
||||
"""
|
||||
def setUp(self):
|
||||
"""
|
||||
This method sets up the gRPC service by starting the server
|
||||
"""
|
||||
self.service = subprocess.Popen(["python3", "parler_tts_server.py", "--addr", "localhost:50051"])
|
||||
time.sleep(10)
|
||||
|
||||
def tearDown(self) -> None:
|
||||
"""
|
||||
This method tears down the gRPC service by terminating the server
|
||||
"""
|
||||
self.service.terminate()
|
||||
self.service.wait()
|
||||
|
||||
def test_server_startup(self):
|
||||
"""
|
||||
This method tests if the server starts up successfully
|
||||
"""
|
||||
try:
|
||||
self.setUp()
|
||||
with grpc.insecure_channel("localhost:50051") as channel:
|
||||
stub = backend_pb2_grpc.BackendStub(channel)
|
||||
response = stub.Health(backend_pb2.HealthMessage())
|
||||
self.assertEqual(response.message, b'OK')
|
||||
except Exception as err:
|
||||
print(err)
|
||||
self.fail("Server failed to start")
|
||||
finally:
|
||||
self.tearDown()
|
||||
|
||||
def test_load_model(self):
|
||||
"""
|
||||
This method tests if the model is loaded successfully
|
||||
"""
|
||||
try:
|
||||
self.setUp()
|
||||
with grpc.insecure_channel("localhost:50051") as channel:
|
||||
stub = backend_pb2_grpc.BackendStub(channel)
|
||||
response = stub.LoadModel(backend_pb2.ModelOptions(Model="parler-tts/parler_tts_mini_v0.1"))
|
||||
self.assertTrue(response.success)
|
||||
self.assertEqual(response.message, "Model loaded successfully")
|
||||
except Exception as err:
|
||||
print(err)
|
||||
self.fail("LoadModel service failed")
|
||||
finally:
|
||||
self.tearDown()
|
||||
|
||||
def test_tts(self):
|
||||
"""
|
||||
This method tests if the embeddings are generated successfully
|
||||
"""
|
||||
try:
|
||||
self.setUp()
|
||||
with grpc.insecure_channel("localhost:50051") as channel:
|
||||
stub = backend_pb2_grpc.BackendStub(channel)
|
||||
response = stub.LoadModel(backend_pb2.ModelOptions(Model="parler-tts/parler_tts_mini_v0.1"))
|
||||
self.assertTrue(response.success)
|
||||
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