Create Dockerfile

Dockerfile

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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
+
+COPY app.py .
+
+# Clone your repository or add your code to the container
+RUN git clone -b main https://github.com/sczhou/ProPainter $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 
+
+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
+
+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"]