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setup.py
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setup.py
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from setuptools import setup
from setuptools.command.install import install
def readme():
with open('README.md') as f:
return f.read()
def post_install():
"""Post installation nltk corpus downloads."""
import nltk
nltk.download("punkt")
nltk.download('words')
nltk.download('maxent_ne_chunker')
nltk.download('averaged_perceptron_tagger')
nltk.download("stopwords")
class PostInstall(install):
"""Post-installation"""
def run(self):
install.run(self)
self.execute(post_install, [], msg="Running post installation tasks")
setup(name='youtube_sentiment',
version='0.3.0',
description='Analyze Youtube videos for general sentiment analysis',
long_description=readme(),
long_description_content_type='text/markdown',
url='https://github.com/dillonmabry/youtube-sentiment-helper',
author='Dillon Mabry',
author_email='rapid.dev.solutions@gmail.com',
license='MIT',
packages=['youtube_sentiment'],
test_suite='nose.collector',
tests_require=['nose'],
install_requires=["requests", "nltk", "numpy", "scipy", "scikit-learn"],
cmdclass={"install": PostInstall},
include_package_data=True,
data_files=[('', [
'youtube_sentiment/models/lr_sentiment_basic.pkl',
'youtube_sentiment/models/lr_sentiment_cv.pkl'])
],
zip_safe=False)