# Use the NVIDIA CUDA runtime as a base image FROM nvidia/cuda:11.8.0-devel-ubuntu22.04 # Set environment variables ENV DEBIAN_FRONTEND=noninteractive RUN useradd -m -u 1000 user USER user ENV HOME=/home/user \ CUDA_HOME=/usr/local/cuda \ PATH=/home/user/.local/bin:$PATH \ LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH} \ LIBRARY_PATH=${CUDA_HOME}/lib64/stubs:${LIBRARY_PATH} \ PYTHONPATH=$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 system dependencies as root USER root # Install basic utilities and Python 3.9 RUN apt-get update && apt-get install -y \ wget \ curl \ git \ software-properties-common \ && add-apt-repository ppa:deadsnakes/ppa -y && \ apt-get update && apt-get install -y \ python3.9 \ python3.9-distutils \ python3.9-dev \ && apt-get clean && rm -rf /var/lib/apt/lists/* # Install pip for Python 3.9 RUN curl -sS https://bootstrap.pypa.io/get-pip.py | python3.9 # Set Python 3.9 as the default Python version RUN update-alternatives --install /usr/bin/python python /usr/bin/python3.9 1 && \ update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.9 1 && \ update-alternatives --config python <<< '1' && \ update-alternatives --config python3 <<< '1' # Verify Python and pip versions RUN python --version && pip --version USER user # Copy dependencies and install them via pip COPY . . RUN pip install --upgrade pip RUN pip install -r requirements.txt RUN pip install gradio USER root # Configure git to trust the directory RUN git config --global --add safe.directory /home/user/app RUN chown -R user:user /home/user/app USER user # Set the environment variable to specify the GPU device ENV CUDA_DEVICE_ORDER=PCI_BUS_ID ENV CUDA_VISIBLE_DEVICES=0 # Command to run your application CMD ["python", "app.py"]