FROM pytorch/pytorch:2.0.1-cuda11.7-cudnn8-devel ENV DEBIAN_FRONTEND=noninteractive # Set the MKL_THREADING_LAYER environment variable to GNU ENV MKL_THREADING_LAYER=GNU # Install system dependencies including those required for dlib RUN apt-get update && apt-get install -y \ git \ wget \ libgl1-mesa-glx \ libglib2.0-0 \ ffmpeg \ libx264-dev \ build-essential \ cmake \ libopenblas-dev \ liblapack-dev \ libx11-dev \ libgtk-3-dev \ python3-dev RUN useradd -m -u 1000 user USER user ENV HOME=/home/user \ PATH=/home/user/.local/bin:$PATH \ PYTHONPATH=$HOME/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 # Set the working directory to the user's home directory WORKDIR $HOME/app # Print detailed Python information RUN python -c "import sys; print(f'Python {sys.version}')" # Clone the repository RUN git clone -b dev https://github.com/fffiloni/dreamtalk $HOME/app # Download model checkpoints RUN wget https://huggingface.co/camenduru/dreamtalk/resolve/main/damo/dreamtalk/checkpoints/denoising_network.pth -O $HOME/app/checkpoints/denoising_network.pth RUN wget https://huggingface.co/camenduru/dreamtalk/resolve/main/damo/dreamtalk/checkpoints/renderer.pt -O $HOME/app/checkpoints/renderer.pt # Install Python dependencies RUN pip install --no-cache-dir \ urllib3==1.26.6 \ transformers==4.28.1 \ yacs==0.1.8 \ scipy==1.10.1 \ scikit-image==0.20.0 \ scikit-learn==1.2.2 \ PyYAML==6.0 \ Pillow==9.5.0 \ numpy==1.24.2 \ opencv-python==4.7.0.72 \ imageio==2.27.0 \ ffmpeg-python \ av==11.0.0 \ moviepy==1.0.3 RUN pip install gradio # Install dlib with verbose output RUN pip install --verbose --no-cache-dir dlib-bin COPY app.py . # Set the environment variable to specify the GPU device ENV CUDA_DEVICE_ORDER=PCI_BUS_ID ENV CUDA_VISIBLE_DEVICES=0 # Run your app.py script CMD ["python", "app.py"]