FROM pytorch/pytorch:2.0.1-cuda11.7-cudnn8-runtime ENV DEBIAN_FRONTEND=noninteractive # Set the MKL_THREADING_LAYER environment variable to GNU ENV MKL_THREADING_LAYER=GNU RUN apt-get update && apt-get install -y git wget libgl1-mesa-glx libglib2.0-0 ffmpeg libx264-dev build-essential cmake 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 RUN git clone -b dev https://github.com/fffiloni/dreamtalk $HOME/app 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 dependencies RUN pip install --no-cache-dir urllib3 transformers dlib yacs scipy scikit-image scikit-learn PyYAML Pillow numpy opencv-python imageio ffmpeg-python av moviepy gradio==4.36.1 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"]