Adding Dockerfile and scripts for building and starting
This commit is contained in:
1 parent
27df5b8038
commit
9a99126f68
6 files changed
+312
No files matched your search
+138
@@ -0,0 +1,138 @@
|
||||
FROM continuumio/miniconda3:24.7.1-0
|
||||
|
||||
# Argument to choose the model: piper, vits, xtts
|
||||
ARG TTS_MODEL="xtts"
|
||||
ENV TTS_MODEL=$TTS_MODEL
|
||||
|
||||
SHELL ["/bin/bash", "-l", "-c"]
|
||||
ENV SHELL=/bin/bash
|
||||
ENV HOST=0.0.0.0
|
||||
ENV DEBIAN_FRONTEND=noninteractive
|
||||
ENV CUDA_DOCKER_ARCH=all
|
||||
ENV GRADIO_SERVER_NAME="0.0.0.0"
|
||||
|
||||
RUN <<EOR
|
||||
apt-get update
|
||||
apt-get upgrade -y
|
||||
apt-get install --no-install-recommends -y \
|
||||
espeak-ng \
|
||||
curl \
|
||||
wget \
|
||||
jq \
|
||||
vim
|
||||
|
||||
apt-get clean && rm -rf /var/lib/apt/lists/*
|
||||
EOR
|
||||
|
||||
WORKDIR /alltalk
|
||||
|
||||
# Create a conda environment and install dependencies:
|
||||
ARG INSTALL_ENV_DIR=/alltalk/alltalk_environment/env
|
||||
ENV CONDA_AUTO_UPDATE_CONDA="false"
|
||||
RUN <<EOR
|
||||
conda create -y -n "alltalk" -c conda-forge python=3.11.9
|
||||
conda activate alltalk
|
||||
conda install -y \
|
||||
gcc_linux-64 \
|
||||
gxx_linux-64 \
|
||||
pytorch=2.2.1 \
|
||||
torchvision \
|
||||
torchaudio \
|
||||
pytorch-cuda=12.1 \
|
||||
libaio \
|
||||
nvidia/label/cuda-12.1.0::cuda-toolkit=12.1 \
|
||||
faiss-gpu=1.9.0 \
|
||||
conda-forge::ffmpeg=7.1.0 \
|
||||
conda-forge::portaudio=19.7.0 \
|
||||
-c pytorch \
|
||||
-c anaconda \
|
||||
-c nvidia | grep -zq PackagesNotFoundError && exit 1
|
||||
conda clean -a && pip cache purge
|
||||
EOR
|
||||
|
||||
# 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/pip_cache
|
||||
RUN <<EOR
|
||||
conda activate alltalk
|
||||
|
||||
mkdir /alltalk/pip_cache
|
||||
pip install --no-cache-dir --cache-dir=/alltalk/pip_cache -r system/requirements/requirements_standalone.txt
|
||||
pip install --no-cache-dir --cache-dir=/alltalk/pip_cache --upgrade gradio==4.32.2
|
||||
|
||||
# Deepspeed:
|
||||
curl -LO https://github.com/erew123/alltalk_tts/releases/download/DeepSpeed-14.0/deepspeed-0.14.2+cu121torch2.2-cp311-cp311-manylinux_2_24_x86_64.whl
|
||||
CFLAGS="-I$CONDA_PREFIX/include/" LDFLAGS="-L$CONDA_PREFIX/lib/" \
|
||||
pip install --no-cache-dir --cache-dir=/alltalk/pip_cache deepspeed-0.14.2+cu121torch2.2-cp311-cp311-manylinux_2_24_x86_64.whl
|
||||
rm -f deepspeed-0.14.2+cu121torch2.2-cp311-cp311-manylinux_2_24_x86_64.whl
|
||||
|
||||
# Parler:
|
||||
pip install --no-cache-dir --no-deps --cache-dir=/alltalk/pip_cache -r system/requirements/requirements_parler.txt
|
||||
|
||||
conda clean --all --force-pkgs-dirs -y && pip cache purge
|
||||
EOR
|
||||
|
||||
# Deepspeed requires cutlass:
|
||||
RUN git clone --depth 1 --branch "v3.5.1" https://github.com/NVIDIA/cutlass /alltalk/cutlass
|
||||
ENV CUTLASS_PATH=/alltalk/cutlass
|
||||
|
||||
# Writing scripts to start alltalk:
|
||||
RUN <<EOR
|
||||
cat << EOF > 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_environment.sh
|
||||
chmod +x start_finetune.sh
|
||||
chmod +x start_diagnostics.sh
|
||||
EOR
|
||||
|
||||
COPY . .
|
||||
|
||||
# Create script to execute firstrun.py:
|
||||
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/outputs
|
||||
RUN mkdir -p /root/.triton/autotune
|
||||
|
||||
# Enabling deepspeed for all models:
|
||||
RUN find . -name model_settings.json -exec sed -i -e 's/"deepspeed_enabled": false/"deepspeed_enabled": true/g' {} \;
|
||||
|
||||
# Downloading all RVC models:
|
||||
RUN <<EOR
|
||||
jq -r '.[]' system/tts_engines/rvc_files.json > /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"]
|
||||
Reference in new issue
Block a user