FROM pytorch/pytorch:2.0.1-cuda11.7-cudnn8-runtime ENV DEBIAN_FRONTEND=noninteractive RUN apt-get update && apt-get install -y \ git make build-essential libssl-dev zlib1g-dev libbz2-dev libreadline-dev \ libsqlite3-dev wget curl llvm libncursesw5-dev xz-utils tk-dev libxml2-dev \ libxmlsec1-dev libffi-dev liblzma-dev git-lfs ffmpeg libsm6 libxext6 cmake \ libgl1-mesa-glx \ && rm -rf /var/lib/apt/lists/* && git lfs install 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 # 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 gradio==3.50.2 opencv-python supervision pillow # Install SAM and Detectron2 RUN pip install 'git+https://github.com/facebookresearch/segment-anything.git' RUN pip install 'git+https://github.com/facebookresearch/detectron2.git' # Download weights RUN mkdir -p $HOME/app/weigths RUN wget -c -O $HOME/app/weigths/sam_vit_h_4b8939.pth https://dl.fbaipublicfiles.com/segment_anything/sam_vit_h_4b8939.pth 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"]