ARG GITHUB_REPOSITORY ARG DOCKER_TAG=latest FROM ${GITHUB_REPOSITORY}alltalk_tts_environment:${DOCKER_TAG} # Argument to choose the model: piper, vits, xtts ARG TTS_MODEL="xtts" ENV TTS_MODEL=$TTS_MODEL ARG DEEPSPEED_VERSION=0.16.2 ENV DEEPSPEED_VERSION=$DEEPSPEED_VERSION ARG ALLTALK_DIR=/opt/alltalk ENV GRADIO_SERVER_NAME="0.0.0.0" WORKDIR ${ALLTALK_DIR} ############################################################################## # Install python dependencies (cannot use --no-deps because requirements are not complete) ############################################################################## COPY system/config system/config COPY system/requirements/requirements_standalone.txt system/requirements/requirements_standalone.txt COPY system/requirements/requirements_parler.txt system/requirements/requirements_parler.txt ENV PIP_CACHE_DIR=${ALLTALK_DIR}/pip_cache RUN <&1 ) if [ $? -ne 0 ] ; then echo "Failed to download DeepSpeed: $CURL_ERROR" exit 1 fi DEEPSPEED_WHEEL=$(realpath -q /tmp/deepspeed/*.whl) fi echo "Using precompiled DeepSpeed wheel at ${DEEPSPEED_WHEEL}" CFLAGS="-I$CONDA_PREFIX/include/" LDFLAGS="-L$CONDA_PREFIX/lib/" \ pip install --no-cache-dir ${DEEPSPEED_WHEEL} if [ $? -ne 0 ] ; then echo "Failed to install pip dependencies: $RESULT" exit 1 fi rm ${DEEPSPEED_WHEEL} conda clean --all --force-pkgs-dirs -y && pip cache purge EOR ############################################################################## # Writing scripts to start alltalk: ############################################################################## RUN < start_alltalk.sh #!/usr/bin/env bash source ~/.bashrc # Merging config from docker_confignew.json into confignew.json: jq -s '.[0] * .[1] * .[2]' confignew.json docker_default_config.json docker_confignew.json > confignew.json.tmp mv confignew.json.tmp confignew.json conda activate alltalk python script.py EOF cat << EOF > start_finetune.sh #!/usr/bin/env bash source ~/.bashrc export TRAINER_TELEMETRY=0 conda activate alltalk python finetune.py EOF cat << EOF > start_diagnostics.sh #!/usr/bin/env bash source ~/.bashrc conda activate alltalk python diagnostics.py EOF chmod +x start_alltalk.sh chmod +x start_finetune.sh chmod +x start_diagnostics.sh EOR COPY . . ############################################################################## # Create script to execute firstrun.py and run it: ############################################################################## RUN echo $'#!/usr/bin/env bash \n\ source ~/.bashrc \n\ conda activate alltalk \n\ python ./system/config/firstrun.py $@' > ./start_firstrun.sh RUN chmod +x start_firstrun.sh RUN ./start_firstrun.sh --tts_model $TTS_MODEL RUN mkdir -p ${ALLTALK_DIR}/outputs RUN mkdir -p /root/.triton/autotune ############################################################################## # Enable deepspeed for all models: ############################################################################## RUN find . -name model_settings.json -exec sed -i -e 's/"deepspeed_enabled": false/"deepspeed_enabled": true/g' {} \; ############################################################################## # Download all RVC models: ############################################################################## RUN < /tmp/rvc_files.txt xargs -n 1 curl --create-dirs --output-dir models/rvc_base -LO < /tmp/rvc_files.txt rm -f /tmp/rvc_files.txt EOR ############################################################################## # Start alltalk: ############################################################################## ENTRYPOINT ["sh", "-c", "./start_alltalk.sh"]