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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"] | |