mlflow / Dockerfile
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Modification du dockerfile et train.py
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# Read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker
# you will also find guides on how best to write your Dockerfile
FROM python:3.10
RUN useradd -m -u 1000 user
USER user
ENV PATH="/home/user/.local/bin:$PATH"
WORKDIR /app
COPY --chown=user ./requirements.txt requirements.txt
RUN pip install --no-cache-dir --upgrade -r requirements.txt
COPY --chown=user . /app
CMD mlflow server -p $PORT \
--host 0.0.0.0 \
--allowed-hosts atomik31-mlflow.hf.space \
--backend-store-uri $BACKEND_STORE_URI \
--default-artifact-root $ARTIFACT_STORE_URI