feat: docker improvements

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/*
+
+COPY cudnn-linux-x86_64-8.9.7.29_cuda12-archive.tar.xz /tmp/
+
+# Extract and install cuDNN 8.9.7
+RUN tar -xvf /tmp/cudnn-linux-x86_64-8.9.7.29_cuda12-archive.tar.xz -C /tmp && \
+    cp -P /tmp/cudnn-linux-x86_64-8.9.7.29_cuda12-archive/include/cudnn*.h /usr/local/cuda-12.1/include/ && \
+    cp -P /tmp/cudnn-linux-x86_64-8.9.7.29_cuda12-archive/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*
+
+# 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"]

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