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# copied/adapted from oriingal docker file here: https://github.com/NeotomaDB/MetaExtractor/tree/main/docker/data-review-tool
FROM python:3.10
RUN git clone https://github.com/NeotomaDB/MetaExtractor.git
# Copy the requirements.txt file to the working directory
# COPY ./requirements.txt .
# Install the Python dependencies
RUN pip install --no-cache-dir -r MetaExtractor/docker/data-review-tool/requirements.txt
WORKDIR MetaExtractor/
ENV LOG_LEVEL=DEBUG
# Expose the port your Dash app is running on
# changed from default 8050 to match HF spaces requirements
# edit the port in the app.py file
# inspired from: https://stackoverflow.com/questions/27713362/editing-files-from-dockerfile
RUN sed -i "s|port=8050|port=7860 |g" ./src/data_review_tool/app.py
EXPOSE 7860
RUN pip install pyarrow
RUN mkdir -p ./inputs
# set defualt env variables to sample files in the repo
ENV ARTICLE_RELEVANCE_BATCH=article-relevance-output.parquet
ENV ENTITY_EXTRACTION_BATCH=entity-extraction-output.zip
# instead of vlume mapping copy sample files to expected input folder in regular image
RUN cp ./data/data-review-tool/article-relevance-output.parquet ./inputs \
&& cp ./data/data-review-tool/entity-extraction-output.zip ./inputs
ENTRYPOINT python src/data_review_tool/app.py |