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