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setup.py
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setup.py
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"""
Originally guided by AllenNLP and Transformers repos
To create the package for pypi.
"""
import shutil
from pathlib import Path
from setuptools import find_packages, setup
# Remove stale dialognlu.egg-info directory to avoid https://github.com/pypa/pip/issues/5466
stale_egg_info = Path(__file__).parent / "dialognlu.egg-info"
if stale_egg_info.exists():
print("Warning: {} exists.".format(stale_egg_info))
shutil.rmtree(stale_egg_info)
extras = {}
setup(
name="dialognlu",
version="0.2.0",
author="Mahmoud Wahdan",
author_email="mahmoud.a.wahdan@gmail.com",
description="State-of-the-art Dialog NLU (Natural Language Understanding) Library with TensorFlow 2.x and keras",
long_description=open("README.md", "r", encoding="utf-8").read(),
long_description_content_type="text/markdown",
keywords="NLP deep learning transformers BERT ALBERT tensorflow",
license="Apache",
url="https://github.com/MahmoudWahdan/dialog-nlu",
# package_dir={"dialognlu": "dialognlu"},
# packages=find_packages(),
package_dir={"": "src"},
packages=find_packages("src"),
install_requires=[
"scikit-learn>=0.23.2", "pandas>=1.1.2", "numpy>=1.18.5",
"scipy>=1.5.2", "matplotlib>=3.3.2", "seaborn>=0.11.0",
"xlrd>=1.2.0", "tensorflow-hub>=0.9.0",
"tensorflow-addons>=0.11.2",
"tensorflow>=2.4.0", "transformers>=3.2.0, <=3.5.1",
"seqeval>=0.0.17", "flask>=1.1.2"
],
extras_require=extras,
python_requires=">=3.6.0",
classifiers=[
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: Apache Software License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Topic :: Scientific/Engineering :: Artificial Intelligence, NLP, NLU",
],
)