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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"] |