217 lines
8.1 KiB
Docker
217 lines
8.1 KiB
Docker
ARG DOCKER_REPOSITORY
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ARG DOCKER_TAG=latest
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FROM ${DOCKER_REPOSITORY}alltalk_tts_environment:${DOCKER_TAG}
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# Argument to choose the model: piper, vits, xtts
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ARG TTS_MODEL="xtts"
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ENV TTS_MODEL=$TTS_MODEL
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ARG DEEPSPEED_VERSION=0.16.2
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ENV DEEPSPEED_VERSION=$DEEPSPEED_VERSION
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ENV GRADIO_SERVER_NAME="0.0.0.0"
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# Switch for using the multi engine manager:
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ENV ALLTALK_ENABLE_MULTI_ENGINE_MANAGER=false
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# Default settings used in docker_default_confignew.json:
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ENV ALLTALK_DELETE_OUTPUT_WAVS="1"
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ENV ALLTALK_GRADIO_INTERFACE=true
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ENV ALLTALK_RVC_ENABLED=true
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ENV ALLTALK_RVC_F0METHOD="rmvpe"
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# Default settings used in docker_default_mem_config.json:
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ENV ALLTALK_MEM_AUTO_START_ENGINES=1
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ENV ALLTALK_MEM_MAX_INSTANCES=1
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WORKDIR ${ALLTALK_DIR}
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##############################################################################
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# Download TTS models:
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##############################################################################
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COPY system/tts_engines/piper/available_models.json system/tts_engines/piper/
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COPY system/tts_engines/vits/available_models.json system/tts_engines/vits/
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COPY system/tts_engines/xtts/available_models.json system/tts_engines/xtts/
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RUN <<EOR
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available_models="system/tts_engines/${TTS_MODEL}/available_models.json"
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first_start_model=$(cat ${available_models} | jq -r '.first_start_model')
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model=$(cat ${available_models} | jq ".models[] | select(.model_name==\"${first_start_model}\")")
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folder_path=$( echo "${model}" | jq -r '.folder_path // empty' )
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files_to_download=$( echo "${model}" | jq '.files_to_download[]?' )
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github_rls_url=$( echo "${model}" | jq '.github_rls_url // empty' )
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# Special case for vits: firstrun.py expects the ZIP download directly in the model folder.
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# When firstrun.py unzips the file, the correct folder will be created automatically.
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if [[ "$TTS_MODEL" == "vits" ]]; then
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folder_path=""
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fi
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# Merging both fields:
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files_to_download="${files_to_download} ${github_rls_url}"
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target_dir="models/${TTS_MODEL}/${folder_path}"
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echo "$files_to_download" | xargs -n 1 curl --create-dirs --output-dir "${target_dir}" -LO
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EOR
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##############################################################################
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# Download all RVC models:
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##############################################################################
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COPY system/tts_engines/rvc_files.json system/tts_engines/
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RUN jq -r '.[]' system/tts_engines/rvc_files.json | xargs -n 1 curl --create-dirs --output-dir models/rvc_base -LO
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##############################################################################
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# Install python dependencies (cannot use --no-deps because requirements are not complete)
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##############################################################################
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COPY system/config/*.whl system/config/
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COPY system/requirements/requirements_standalone.txt system/requirements/requirements_standalone.txt
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COPY system/requirements/requirements_parler.txt system/requirements/requirements_parler.txt
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ENV PIP_CACHE_DIR=${ALLTALK_DIR}/pip_cache
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RUN <<EOR
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conda activate alltalk
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mkdir -p ${ALLTALK_DIR}/pip_cache
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pip install --no-cache-dir --cache-dir=${ALLTALK_DIR}/pip_cache -r system/requirements/requirements_standalone.txt
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pip install --no-cache-dir --cache-dir=${ALLTALK_DIR}/pip_cache --upgrade gradio==4.32.2
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# By default, version 1.9.10 is used causing this warning on startup: 'FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated'
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pip install --no-cache-dir --cache-dir=${ALLTALK_DIR}/pip_cache local-attention==1.11.1
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# Parler:
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pip install --no-cache-dir --cache-dir=${ALLTALK_DIR}/pip_cache -r system/requirements/requirements_parler.txt
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conda clean --all --force-pkgs-dirs -y && pip cache purge
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EOR
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##############################################################################
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# Install DeepSpeed
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##############################################################################
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RUN mkdir -p /tmp/deepspeed
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COPY docker/deepspeed/build*/*.whl /tmp/deepspeed/
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RUN <<EOR
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DEEPSPEED_WHEEL=$(realpath -q /tmp/deepspeed/*.whl)
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conda activate alltalk
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# Download DeepSpeed wheel if it was not built locally:
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if [ -z "${DEEPSPEED_WHEEL}" ] || [ ! -f $DEEPSPEED_WHEEL ] ; then
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echo "Downloading pre-built DeepSpeed wheel"
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CURL_ERROR=$( { curl --output-dir /tmp/deepspeed -fLO "https://github.com/erew123/alltalk_tts/releases/download/DeepSpeed-for-docker/deepspeed-0.16.2+b344c04d-cp311-cp311-linux_x86_64.whl" ; } 2>&1 )
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if [ $? -ne 0 ] ; then
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echo "Failed to download DeepSpeed: $CURL_ERROR"
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exit 1
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fi
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DEEPSPEED_WHEEL=$(realpath -q /tmp/deepspeed/*.whl)
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fi
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echo "Using precompiled DeepSpeed wheel at ${DEEPSPEED_WHEEL}"
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CFLAGS="-I$CONDA_PREFIX/include/" LDFLAGS="-L$CONDA_PREFIX/lib/" \
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pip install --no-cache-dir ${DEEPSPEED_WHEEL}
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if [ $? -ne 0 ] ; then
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echo "Failed to install pip dependencies: $RESULT"
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exit 1
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fi
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rm ${DEEPSPEED_WHEEL}
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conda clean --all --force-pkgs-dirs -y && pip cache purge
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EOR
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##############################################################################
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# Writing scripts to start alltalk:
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##############################################################################
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RUN <<EOR
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cat << EOF > start_alltalk.sh
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#!/usr/bin/env bash
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source ~/.bashrc
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replace_env_vars() {
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echo "{}" > /tmp/empty.json
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jq "\$( cat \$1 ) | del(.. | select(. == null))" /tmp/empty.json > \$1.tmp
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mv \$1.tmp \$1
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rm -f /tmp/empty.json
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}
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merge_json_files() {
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# Merging JSON config with docker default values followed by values set on startup:
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jq -s '.[0] * .[1] * .[2]' \$1 docker_default_\$1 docker_\$1 > \$1.tmp
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mv \$1.tmp \$1
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}
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replace_env_vars docker_default_confignew.json
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merge_json_files confignew.json
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# Script for deleting WAV files that are older than 1 minute:
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cat << EOF2 > ${ALLTALK_DIR}/cleanup-wavs.sh
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#!/usr/bin/env bash
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[ \"\$ALLTALK_AUTO_CLEANUP\" = \"true\" ] && find ${ALLTALK_DIR}/outputs -type f -name "*.wav" -mmin +1 -exec rm {} \;
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EOF2
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chmod u+x ${ALLTALK_DIR}/cleanup-wavs.sh
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# Starting the cron job:
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cron
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source ${ALLTALK_DIR}/conda_env.sh
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if [ "\$ALLTALK_ENABLE_MULTI_ENGINE_MANAGER" = "true" ] ; then
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echo "Starting alltalk using multi engine manager"
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replace_env_vars docker_default_mem_config.json
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merge_json_files mem_config.json
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python tts_mem.py
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else
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echo "Starting alltalk"
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python script.py
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fi
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EOF
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cat << EOF > start_finetune.sh
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#!/usr/bin/env bash
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source ~/.bashrc
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export TRAINER_TELEMETRY=0
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source ${ALLTALK_DIR}/conda_env.sh
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python finetune.py
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EOF
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cat << EOF > start_diagnostics.sh
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#!/usr/bin/env bash
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source ~/.bashrc
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source ${ALLTALK_DIR}/conda_env.sh
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python diagnostics.py
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EOF
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chmod +x start_alltalk.sh
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chmod +x start_finetune.sh
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chmod +x start_diagnostics.sh
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EOR
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COPY --chown=alltalk:alltalk . .
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RUN mkdir -p ${ALLTALK_DIR}/outputs ${ALLTALK_DIR}/.triton/autotune
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##############################################################################
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# Enable deepspeed for all models:
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##############################################################################
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RUN find . -name model_settings.json -exec sed -i -e 's/"deepspeed_enabled": false/"deepspeed_enabled": true/g' {} \;
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##############################################################################
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# Cronjob running every minute to delete output WAV files:
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##############################################################################
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USER root
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RUN <<EOR
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echo "* * * * * ${ALLTALK_DIR}/cleanup-wavs.sh" > /etc/cron.d/cleanup-wavs
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crontab -u alltalk /etc/cron.d/cleanup-wavs
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chmod u+s /usr/sbin/cron
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EOR
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USER alltalk
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##############################################################################
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# Create script to execute firstrun.py and run it:
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##############################################################################
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RUN echo $'#!/usr/bin/env bash \n\
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source ~/.bashrc \n\
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source ${ALLTALK_DIR}/conda_env.sh \n\
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python ./system/config/firstrun.py $@' > ./start_firstrun.sh
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RUN chmod +x start_firstrun.sh
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RUN ./start_firstrun.sh --tts_model $TTS_MODEL
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##############################################################################
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# Start alltalk:
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##############################################################################
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ENTRYPOINT ["bash", "-c", "./start_alltalk.sh"] |