ARG CUDA_IMAGE="12.1.1-devel-ubuntu22.04" FROM nvidia/cuda:${CUDA_IMAGE} # We need to set the host to 0.0.0.0 to allow outside access ENV HOST 0.0.0.0 RUN apt-get update && apt-get upgrade -y \ && apt-get install -y git build-essential \ python3 python3-pip gcc wget \ ocl-icd-opencl-dev opencl-headers clinfo \ libclblast-dev libopenblas-dev \ && mkdir -p /etc/OpenCL/vendors && echo "libnvidia-opencl.so.1" > /etc/OpenCL/vendors/nvidia.icd RUN apt-get install git -y COPY . . # setting build related env vars ENV CUDA_DOCKER_ARCH=all ENV LLAMA_CUBLAS=1 RUN useradd -m -u 1000 user # Switch to the "user" user USER user # Set home to the user's home directory ENV HOME=/home/user \ PATH=/home/user/.local/bin:$PATH \ PYTHONPATH=$HOME/app \ PYTHONUNBUFFERED=1 \ GRADIO_ALLOW_FLAGGING=never \ GRADIO_NUM_PORTS=1 \ GRADIO_SERVER_NAME=0.0.0.0 \ GRADIO_THEME=huggingface \ SYSTEM=spaces WORKDIR $HOME/app # Copy the current directory contents into the container at $HOME/app setting the owner to the user COPY --chown=user . $HOME/app # Install dependencies RUN python3 -m pip install --upgrade pip && \ python3 -m pip install pytest cmake \ scikit-build setuptools fastapi uvicorn sse-starlette \ pydantic-settings starlette-context gradio huggingface_hub hf_transfer RUN python3 -m pip install requests pydantic uvicorn starlette fastapi sse_starlette starlette_context pydantic_settings # Install llama-cpp-python (build with cuda) #RUN CMAKE_ARGS="-DLLAMA_CUBLAS=on" pip install git+https://github.com/lukestanley/llama-cpp-python.git@expose_json_grammar_convert_function CMD ["python3", "app.py"] # Credit to Radamés Ajna for the original Dockerfile