setup.py

#!/usr/bin/env python
# -*- coding: utf-8 -*-

from setuptools import setup, find_namespace_packages

with open("README.md", "r", encoding="utf-8") as fh:
    long_description = fh.read()

with open("VERSION", "r", encoding="utf-8") as fh:
    version = fh.read().strip()

setup(
    name="cltl.triple_extraction",
    description="The Leolani Language module for knowledge extraction",
    version=version,
    long_description=long_description,
    long_description_content_type="text/markdown",
    url="https://github.com/leolani/cltl-knowledgeextraction",
    license='MIT License',
    authors={
        "Bajc̆etic": ("Lenka Bajc̆etic", "l.bajccetic@vu.nl"),
        "Baez Santamaria": ("Selene Baez Santamaria", "s.baezsantamaria@vu.nl"),
        "Baier": ("Thomas Baier", "t.baier@vu.nl")
    },
    package_dir={'': 'src'},
    packages=find_namespace_packages(include=['cltl.*', 'cltl_service.*'], where='src'),
    package_data={
        'cltl.triple_extraction': [
            'stanford-ner/*',
            'stanford-ner/**/*',
            'stanford-pos/*',
            'stanford-pos/**/*'
        ],
        'cltl.triple_extraction.conversational_triples': [
            'predicate_norm.json'
        ]
    },
    python_requires='>=3.7',
    install_requires=[
        'nltk~=3.4',
        'stanford_openie~=1.3',
        'spacy~=3.2',
        'stanza~=1.5',
        "cltl.combot"
    ],
    extras_require={
        "service": [
            "cltl.combot",
            "cltl.emissor-data[client]"
        ],
        "conversational": [
            "torch~=1.12",
            "transformers~=4.10",
            "tqdm"
        ]
    },
    setup_requires=['flake8']
)