setup.cfg

[metadata]
name = awe_components
version = 1.0.0
description = Components for spacy pipeline to support AWE Workbench
long_description = file: SHORTREADME.md
long_description_content_type = text/markdown
url = blank
author = Paul Douglas Deane, Educational Testing Service
author_email = pdeane@alliteration.net
license = agpl-3.0
keywords= nlp, awe, automated writing evaluation, information-extraction, spacy, spacy-extension, python, machine-learning, ontology, semantics
classifiers =
    Development Status :: 5 - Production/Stable
    Intended Audience :: Computational Linguists
    Intended Audience :: Developers
    Intended Audience :: Education
    Intended Audience :: Science/Research
    Intended Audience :: Other Audience
    License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
    Natural Language :: English
    Programming Language :: Python :: 3.9
    Topic :: Scientific/Engineering :: Artificial Intelligence
    Topic :: Scientific/Engineering :: Information Analysis
    Topic :: Text Processing :: Linguistic
    Topic :: Text Processing :: Automated Writing Evaluation

[options]
packages = find:
include_package_data = True
python_requires = >=3.9
cmdclass =
  install = install.AWEInstall
install_requires =
  awe_lexica @ git+https://github.com/ArgLab/AWE_Lexica.git
  spacy
  coreferee @ git+https://github.com/Arglab/coreferee.git@latest_spacy
  rdflib
  spacytextblob
  numpy==1.26.4
  srsly
  wordfreq
  statistics
  scipy
  scikit-learn
  nltk
  aenum
  websockets<14
  websocket-client
  pytest
  clint
  pygtrie
  transformers
  torch==2.4.1
  Path
[options.package_data]
* = *.cfg, *.csv, *.json, *.txt