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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 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==0.17.0rc4 \
pillow requests
# 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/weights
RUN wget -c -O $HOME/app/weights/sam_vit_h_4b8939.pth https://dl.fbaipublicfiles.com/segment_anything/sam_vit_h_4b8939.pth
COPY app.py .
COPY utils.py .
COPY gpt4v.py .
COPY sam_utils.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"]
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