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# NOTE: When we upgrade to 3.11 we can use a slimmer docker image which comes with gcc. | |
FROM python:3.9-bullseye | |
# Allow statements and log messages to immediately appear in the Knative logs | |
ENV PYTHONUNBUFFERED True | |
# See: https://huggingface.co/docs/hub/spaces-sdks-docker#permissions | |
RUN useradd -m -u 1000 user | |
USER user | |
ENV HOME=/home/user \ | |
PATH=/home/user/.local/bin:$PATH | |
# Set the working directory in the container. | |
WORKDIR $HOME/app | |
# Install the dependencies. This will look in ./dist for any wheels that match lilac. If they are | |
# not found, it will use the public pip package. | |
COPY --chown=user /dist ./dist/ | |
RUN python -m pip install --find-links=dist lilac[all] | |
COPY --chown=user .env . | |
COPY --chown=user .env.demo . | |
# Copy the README so we can read the datasets from the HuggingFace config. | |
COPY --chown=user README.md . | |
# Copy the license just in case. | |
COPY --chown=user LICENSE . | |
COPY --chown=user docker_start.sh docker_start.py ./ | |
# Make a local data directory for non-persistent storage demos. | |
RUN mkdir -p ./data | |
RUN chown -R user ./data | |
CMD ["bash", "docker_start.sh"] | |