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FROM nvidia/cuda:12.1.0-devel-ubuntu22.04 AS dev | |
RUN apt-get update -y \ | |
&& apt-get install -y python3-pip git | |
# Workaround for https://github.com/openai/triton/issues/2507 and | |
# https://github.com/pytorch/pytorch/issues/107960 -- hopefully | |
# this won't be needed for future versions of this docker image | |
# or future versions of triton. | |
RUN ldconfig /usr/local/cuda-12.1/compat/ | |
WORKDIR /code | |
COPY ./requirements.txt /code/requirements.txt | |
# Set up a new user named "user" with user ID 1000 | |
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 | |
RUN pip3 install -U pip | |
RUN pip3 install -U Cython ninja | |
RUN pip3 install --no-cache-dir --upgrade -r /code/requirements.txt | |
# Set the working directory to the user's home directory | |
WORKDIR $HOME/app | |
RUN git clone https://github.com/PhungVanDuy/vllm && cd vllm && pip install . && cd .. | |
# Copy the current directory contents into the container at $HOME/app setting the owner to the user | |
COPY --chown=user . $HOME/app | |
CMD ["python3", "app.py"] |