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PyParseTokenize.yml
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PyParseTokenize.yml
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name: PyParseTokenize
channels:
- conda-forge
- anaconda
- defaults
dependencies:
- python=3.9
- nltk
- tqdm
- pandas==1.4.2
- rdflib
- pip
- pip:
- stanfordcorenlp
- pyyaml
- unidecode
- SPARQLWrapper==2.0.0
- python-dateutil
- Werkzeug==2.3.7
- git+https://github.com/csse-uoft/owlready2.git
- git+https://github.com/csse-uoft/graphdb-importer
- git+https://github.com/csse-uoft/py2graphdb.git
- git+https://github.com/csse-uoft/smile-base.git
# RUN pip install stanfordcorenlp
# RUN pip install pandas==1.4.2
# RUN pip install Werkzeug==2.3.7
# RUN pip install flask==2.2.2
# RUN pip install unidecode
# RUN pip install pyyaml
# RUN pip install nltk
# RUN pip install rdflib
# # Install additional dependencies
# # For nlp_parser.py
# RUN python -m nltk.downloader punkt stopwords
# RUN apt-get update && apt-get install -y swi-prolog
# # Copy the necessary project files
# COPY pyscript/ pyscript/
# USER root
# RUN chown -R ${USERNAME} pyscript/app/scripts/scroll
# USER ${USERNAME}
# RUN rm -rf pyscript/app/scripts/scroll/data
# RUN rm -rf pyscript/app/scripts/scroll/models
# RUN rm -rf pyscript/app/scripts/scroll/res
# RUN rm -rf pyscript/app/scripts/scroll/stats
# RUN mkdir -p pyscript/app/scripts/scroll/data
# RUN mkdir -p pyscript/app/scripts/scroll/models
# RUN mkdir -p pyscript/app/scripts/scroll/res
# RUN mkdir -p pyscript/app/scripts/scroll/stats