unstructured

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# syntax=docker/dockerfile:experimental
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FROM quay.io/unstructured-io/base-images:rocky9.2-9@sha256:73d8492452f086144d4b92b7931aa04719f085c74d16cae81e8826ef873729c9 as base
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# NOTE(crag): NB_USER ARG for mybinder.org compat:
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#             https://mybinder.readthedocs.io/en/latest/tutorials/dockerfile.html
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ARG NB_USER=notebook-user
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ARG NB_UID=1000
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ARG PIP_VERSION
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# Set up environment
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ENV HOME /home/${NB_USER}
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ENV PYTHONPATH="${PYTHONPATH}:${HOME}"
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ENV PATH="/home/usr/.local/bin:${PATH}"
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RUN groupadd --gid ${NB_UID} ${NB_USER}
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RUN useradd --uid ${NB_UID} --gid ${NB_UID} ${NB_USER}
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WORKDIR ${HOME}
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FROM base as deps
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# Copy and install Unstructured
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COPY requirements requirements
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RUN python3.10 -m pip install pip==${PIP_VERSION} && \
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  dnf -y groupinstall "Development Tools" && \
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  find requirements/ -type f -name "*.txt" -exec python3 -m pip install --no-cache -r '{}' ';' && \
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  dnf -y groupremove "Development Tools" && \
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  dnf clean all
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RUN python3.10 -c "import nltk; nltk.download('punkt')" && \
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  python3.10 -c "import nltk; nltk.download('averaged_perceptron_tagger')"
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FROM deps as code
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USER ${NB_USER}
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COPY example-docs example-docs
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COPY unstructured unstructured
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RUN python3.10 -c "from unstructured.partition.model_init import initialize; initialize()"
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CMD ["/bin/bash"]
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