Dockerfile

FROM pytorch/pytorch:2.1.0-cuda12.1-cudnn8-runtime

ENV DEBIAN_FRONTEND=noninteractive
ENV MKL_THREADING_LAYER=GNU

# Install dependencies
RUN apt-get update && apt-get install -y \
    git wget libgl1-mesa-glx libglib2.0-0 ffmpeg libx264-dev pkg-config \
    build-essential cmake g++ software-properties-common \
    gnupg2 libopenblas-dev libx11-dev && \
    rm -rf /var/lib/apt/lists/*

# Add NVIDIA package repositories
RUN wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb && \
    dpkg -i cuda-keyring_1.1-1_all.deb && \
    apt-get update

# Install CUDA Toolkit and cuDNN (with version matching the base image)
RUN apt-get install -y cuda-toolkit-12-1 libcudnn8 libcudnn8-dev

# Set CUDA paths for build environment
ENV PATH=/usr/local/cuda/bin:$PATH \
    CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda \
    CUDA_HOME=/usr/local/cuda \
    LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH \
    CMAKE_PREFIX_PATH="/usr/local/cuda:/usr/lib/x86_64-linux-gnu/" \
    TORCH_CUDA_ARCH_LIST="7.0;7.5;8.0;8.6;8.9;9.0"

# Upgrade pip & install dependencies
RUN pip install --upgrade pip setuptools wheel
RUN pip install --no-cache-dir urllib3 transformers yacs scipy scikit-image scikit-learn PyYAML Pillow "numpy<2" opencv-python imageio ffmpeg-python av "moviepy<2" gradio cmake

# Create app directory structure first
RUN mkdir -p /app/checkpoints

# Clone the repository
RUN git clone -b dev https://github.com/fffiloni/dreamtalk /app

# Download model checkpoints
RUN wget https://huggingface.co/camenduru/dreamtalk/resolve/main/damo/dreamtalk/checkpoints/denoising_network.pth -O /app/checkpoints/denoising_network.pth && \
    wget https://huggingface.co/camenduru/dreamtalk/resolve/main/damo/dreamtalk/checkpoints/renderer.pt -O /app/checkpoints/renderer.pt

# Explicitly set environment variables for dlib compilation
ENV DLIB_USE_CUDA=1 \
    DLIB_JPEG_SUPPORT=1 \
    DLIB_PNG_SUPPORT=1

# Install dlib with CUDA support
RUN pip install --no-cache-dir dlib==19.24.0

# Create a user and set ownership
RUN useradd -m -u 1000 user && \
    chown -R user:user /app

# Set environment variables for runtime
ENV PYTHONPATH=/app \
    PYTHONUNBUFFERED=1 \
    GRADIO_ALLOW_FLAGGING=never \
    GRADIO_NUM_PORTS=1 \
    GRADIO_SERVER_NAME=0.0.0.0 \
    GRADIO_THEME=huggingface \
    GRADIO_SHARE=False \
    SYSTEM=spaces \
    CUDA_DEVICE_ORDER=PCI_BUS_ID \
    CUDA_VISIBLE_DEVICES=0

# Switch to user
USER user
WORKDIR /app

# Copy application file (assuming it's in the build context)
COPY --chown=user:user app.py /app/

# Run the application
CMD ["python", "app.py"]