FROM pytorch/pytorch:2.0.1-cuda11.7-cudnn8-runtime ENV DEBIAN_FRONTEND=noninteractive RUN apt-get update && apt-get install -y git libgl1-mesa-glx libglib2.0-0 RUN apt-get update && apt-get install -y unzip build-essential aria2 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 # Clone your repository or add your code to the container RUN git clone https://github.com/sczhou/ProPainter.git $HOME/app # Install specific versions of PyTorch and TorchVision RUN pip install torch==2.0.1+cu117 torchvision==0.15.2+cu117 -f https://download.pytorch.org/whl/torch_stable.html # Install dependencies RUN pip install --no-cache-dir -r requirements.txt gradio==3.48.0 opencv-python moviepy gradio_client RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/ProPainter/resolve/main/i3d_rgb_imagenet.pt -d $HOME/app/weigths -o i3d_rgb_imagenet.pt RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/ProPainter/resolve/main/raft-things.pth -d $HOME/app/weights -o raft-things.pth RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/ProPainter/resolve/main/recurrent_flow_completion.pth -d $HOME/app/weights -o recurrent_flow_completion.pth RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/ProPainter/resolve/main/ProPainter.pth -d $HOME/app/weights -o ProPainter.pth # Create a directory in the container using the environment variable RUN mkdir -p $HOME/app/hf-examples # Copy the entire "hf-examples" folder and its contents from the same directory as the Dockerfile to the container directory COPY hf-examples $HOME/app/hf-examples/ COPY app.py . RUN find $HOME/app # 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"]