Merge pull request 'Make convenient to use with Docker' (#191) from psr/ai-voice-cloning:docker into master

Reviewed-on: #191

.dockerignore

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+/models
+/training
+/voices
+/bin

Dockerfile

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+FROM nvidia/cuda:11.8.0-cudnn8-devel-ubuntu22.04
+
+ARG DEBIAN_FRONTEND=noninteractive
+ARG TZ=UTC
+ARG MINICONDA_VERSION=23.1.0-1
+ARG PYTHON_VERSION=3.9.13
+
+RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone
+RUN apt-get update
+RUN apt install -y curl wget git ffmpeg
+RUN adduser --disabled-password --gecos '' --shell /bin/bash user
+USER user
+ENV HOME=/home/user
+WORKDIR $HOME
+RUN mkdir $HOME/.cache $HOME/.config && chmod -R 777 $HOME
+RUN wget https://repo.anaconda.com/miniconda/Miniconda3-py39_$MINICONDA_VERSION-Linux-x86_64.sh
+RUN chmod +x Miniconda3-py39_$MINICONDA_VERSION-Linux-x86_64.sh
+RUN ./Miniconda3-py39_$MINICONDA_VERSION-Linux-x86_64.sh -b -p /home/user/miniconda
+ENV PATH="$HOME/miniconda/bin:$PATH"
+RUN conda init
+RUN conda install python=$PYTHON_VERSION
+RUN python3 -m pip install --upgrade pip
+RUN pip3 install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu118
+
+RUN mkdir $HOME/ai-voice-cloning
+WORKDIR $HOME/ai-voice-cloning
+COPY --chown=user:user modules modules
+
+RUN python3 -m pip install -r ./modules/tortoise-tts/requirements.txt
+RUN python3 -m pip install -e ./modules/tortoise-tts/
+RUN python3 -m pip install -r ./modules/dlas/requirements.txt
+RUN python3 -m pip install -e ./modules/dlas/
+ADD requirements.txt requirements.txt
+RUN python3 -m pip install -r ./requirements.txt
+ADD --chown=user:user . $HOME/ai-voice-cloning
+
+CMD ["python", "./src/main.py", "--listen", "0.0.0.0:7680"]

setup-docker.sh

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+#!/bin/bash
+git submodule init
+git submodule update --remote
+docker build -t ai-voice-cloning .

start-docker.sh

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+#!/bin/bash
+CMD="python3 ./src/main.py $@"
+# CMD="bash"
+CPATH="/home/user/ai-voice-cloning"
+docker run --rm --gpus all \
+    --mount "type=bind,src=$PWD/models,dst=$CPATH/models" \
+    --mount "type=bind,src=$PWD/training,dst=$CPATH/training" \
+    --mount "type=bind,src=$PWD/voices,dst=$CPATH/voices" \
+    --mount "type=bind,src=$PWD/bin,dst=$CPATH/bin" \
+    --workdir $CPATH \
+    --user "$(id -u):$(id -g)" \
+    --net host \
+    -it ai-voice-cloning $CMD
+

train-docker.sh

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+#!/bin/bash
+CMD="python3 ./src/train.py --yaml $1"
+# ipc host is one way to increase the shared memory for the container
+# more info here https://github.com/pytorch/pytorch#docker-image
+CPATH="/home/user/ai-voice-cloning"
+docker run --rm --gpus all \
+    --mount "type=bind,src=$PWD/models,dst=$CPATH/models" \
+    --mount "type=bind,src=$PWD/training,dst=$CPATH/training" \
+    --mount "type=bind,src=$PWD/voices,dst=$CPATH/voices" \
+    --mount "type=bind,src=$PWD/bin,dst=$CPATH/bin" \
+    --mount "type=bind,src=$PWD/src,dst=$CPATH/src" \
+    --workdir $CPATH \
+    --ipc host \
+    --user "$(id -u):$(id -g)" \
+    -it ai-voice-cloning $CMD