setup.py

import io
import os

from setuptools import setup, find_packages

here = os.path.abspath(os.path.dirname(__file__))

# Avoids IDE errors, but actual version is read from version.py
__version__ = None
exec(open('rasa_nlu/version.py').read())

# Get the long description from the README file
with io.open(os.path.join(here, 'README.md'), encoding='utf-8') as f:
    long_description = f.read()

tests_requires = [
    "pytest~=3.3",
    "pytest-pycodestyle~=1.4",
    "pytest-cov~=2.5",
    "pytest-twisted<1.6",
    "treq~=17.8",
    "responses~=0.9.0",
    "httpretty~=0.9.0",
]

install_requires = [
    "cloudpickle~=0.6.1",
    "gevent~=1.2",
    "klein~=17.10",
    "boto3~=1.5",
    "packaging~=18.0",
    "typing~=3.6",
    "future~=0.17.1",
    "tqdm~=4.19",
    "requests~=2.20",
    "jsonschema~=2.6",
    "matplotlib~=2.0",
    "numpy>=1.13",
    "simplejson~=3.13",
    "ruamel.yaml~=0.15.7",
    "coloredlogs~=10.0",
    "scikit-learn~=0.20.2"
]

extras_requires = {
    'test': tests_requires,
    'spacy': ["sklearn-crfsuite~=0.3.6",
              "scipy~=1.1",
              "spacy<=2.0.18,>2.0",
              ],
    'tensorflow': ["sklearn-crfsuite~=0.3.6",
                   "scipy~=1.1",
                   "tensorflow~=1.12.0",
                   "keras-applications==1.0.6",
                   "keras-preprocessing==1.0.5"
                   ],
    'mitie': ["mitie"],
}

setup(
    name='rasa-nlu',
    packages=find_packages(exclude=['contrib', 'docs', 'tests']),
    classifiers=[
        "Development Status :: 4 - Beta",
        "Intended Audience :: Developers",
        "License :: OSI Approved :: Apache Software License",
        # supported python versions
        "Programming Language :: Python",
        "Programming Language :: Python :: 3.5",
        "Programming Language :: Python :: 3.6",
        "Topic :: Software Development :: Libraries",
    ],
    version=__version__,
    install_requires=install_requires,
    tests_require=tests_requires,
    extras_require=extras_requires,
    include_package_data=True,
    description="Rasa NLU a natural language parser for bots",
    long_description=long_description,
    long_description_content_type="text/markdown",
    author='Rasa Technologies GmbH',
    author_email='hi@rasa.com',
    maintainer="Tom Bocklisch",
    maintainer_email="tom@rasa.com",
    license='Apache 2.0',
    url="https://rasa.com",
    keywords="nlp machine-learning machine-learning-library bot bots "
             "botkit rasa conversational-agents conversational-ai chatbot"
             "chatbot-framework bot-framework",
    download_url="https://github.com/RasaHQ/rasa_nlu/archive/{}.tar.gz"
                 "".format(__version__),
    project_urls={
        'Bug Reports': 'https://github.com/rasahq/rasa_nlu/issues',
        'Source': 'https://github.com/rasahq/rasa_nlu',
    },
)

print("\nWelcome to Rasa NLU!")
print("If any questions please visit documentation "
      "page https://rasa.com/docs/nlu/")
print("or join the community discussions on https://forum.rasa.com")