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feat: docker improvements #264

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74 changes: 74 additions & 0 deletions Dockerfile
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FROM python:3.10-slim

RUN apt-get update && apt-get install -y --no-install-recommends \
ca-certificates \
curl \
ffmpeg \
git \
gnupg2 \
unzip \
wget \
&& apt-get clean \
&& rm -rf /var/lib/apt/lists/*

# Add nvidia package repositories
RUN apt-get update && \
apt-get install -y gnupg2 && \
curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/debian11/x86_64/3bf863cc.pub | apt-key add - && \
echo "deb https://developer.download.nvidia.com/compute/cuda/repos/debian11/x86_64 /" > /etc/apt/sources.list.d/cuda.list && \
apt-get update

# Install CUDA 12.1
RUN apt-get update && \
apt-get install -y --no-install-recommends \
cuda-toolkit-12-1 \
libcublas-12-1 \
&& apt-get clean \
&& rm -rf /var/lib/apt/lists/*

# this will fail to copy if multiple are present in the same dir
COPY ${CUDNN:-cudnn-linux-x86_64-*_cuda12-archive.tar.xz} /tmp/cudnn.tar.xz

# Extract and install cuDNN
RUN mkdir /tmp/cudnn
RUN tar -xvf /tmp/cudnn.tar.xz -C /tmp/cudnn && \
cp -P /tmp/cudnn/*/include/cudnn*.h /usr/local/cuda-12.1/include/ && \
cp -P /tmp/cudnn/*/lib/libcudnn* /usr/local/cuda-12.1/lib64/ && \
chmod a+r /usr/local/cuda-12.1/include/cudnn*.h /usr/local/cuda-12.1/lib64/libcudnn*
RUN rm -rf /tmp/cudnn

# Set environment variables for CUDA and cuDNN
ENV PATH=/usr/local/cuda-12.1/bin:${PATH}
ENV LD_LIBRARY_PATH=/usr/local/cuda-12.1/lib64:${LD_LIBRARY_PATH}

# Create a symlink for libcublas.so.11
RUN ln -s /usr/local/cuda-12.1/lib64/libcublas.so.12 /usr/local/cuda-12.1/lib64/libcublas.so.11

WORKDIR /workspace

COPY . /workspace

RUN pip install --upgrade pip

RUN pip install -r requirements.txt

# Install pytorch with CUDA 12.1 support
RUN pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu121

RUN pip install git+https://github.com/violetdenim/wavmark.git
RUN pip install git+https://github.com/myshell-ai/MeloTTS.git

RUN python -m unidic download

RUN pip install -e .

RUN pip install jupyter

# Port for jupyter
EXPOSE 8888

COPY entrypoint.sh /entrypoint.sh
RUN chmod +x /entrypoint.sh

# Set the entrypoint for the container, see entrypoint.sh
ENTRYPOINT ["/entrypoint.sh"]
32 changes: 32 additions & 0 deletions entrypoint.sh
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#!/bin/sh

download_and_unzip() {
url=$1
output_zip=$2
output_dir=$3

wget $url -O $output_zip && \
mkdir -p /tmp/extract_temp && \
unzip $output_zip -d /tmp/extract_temp && \
first_folder=$(find /tmp/extract_temp -mindepth 1 -maxdepth 1 -type d | head -n 1) && \
mkdir -p $output_dir && \
mv $first_folder/* $output_dir/ && \
rm -rf /tmp/extract_temp && \
rm $output_zip
}

if [ "$1" = "v1" ]; then
echo "Downloading v1 checkpoints..."
download_and_unzip "https://myshell-public-repo-hosting.s3.amazonaws.com/openvoice/checkpoints_1226.zip" "checkpoints_1226.zip" "/workspace/checkpoints_v1"
elif [ "$1" = "v2" ]; then
echo "Downloading v2 checkpoints..."
download_and_unzip "https://myshell-public-repo-hosting.s3.amazonaws.com/openvoice/checkpoints_v2_0417.zip" "checkpoints_v2_0417.zip" "/workspace/checkpoints_v2"
else
echo "Downloading both v1 and v2 checkpoints..."
download_and_unzip "https://myshell-public-repo-hosting.s3.amazonaws.com/openvoice/checkpoints_1226.zip" "checkpoints_1226.zip" "/workspace/checkpoints_v1"
download_and_unzip "https://myshell-public-repo-hosting.s3.amazonaws.com/openvoice/checkpoints_v2_0417.zip" "checkpoints_v2_0417.zip" "/workspace/checkpoints_v2"
fi
echo "Starting Jupyter Notebook..."
jupyter notebook --ip=0.0.0.0 --port=8888 --no-browser --allow-root --NotebookApp.notebook_dir='/workspace' &

wait