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from setuptools import setup, find_packages # Always prefer setuptools over distutils

from codecs import open # To use a consistent encoding

from os import path

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

# Get the long description from the relevant file

with open(path.join(here, "README.rst"), encoding="utf-8") as f:

long_description = f.read()

setup(

name="tensorlm",

packages=find_packages(exclude=["examples"]),

version="0.4.2",

description="TensorFlow wrapper for deep neural text generation on character or word level "

"with RNNs / LSTMs",

long_description=long_description,

author="Kilian Batzner",

author_email="tensorlm@kilians.net",

license="MIT",

url="https://github.com/batzner/tensorlm",

download_url="https://github.com/batzner/tensorlm/archive/v0.4.2.tar.gz",

keywords=["tensorflow", "text", "generation", "language", "model", "rnn", "lstm", "deep",

"neural", "char", "word"],

classifiers=[

"Development Status :: 3 - Alpha",

"Intended Audience :: Developers",

"Topic :: Scientific/Engineering :: Artificial Intelligence",

"License :: OSI Approved :: MIT License",

"Programming Language :: Python :: 3 :: Only",

],

install_requires=[

"numpy==1.13.1",

"tensorflow>=1.1.0",

"nltk==3.2.4",

"python-dateutil==2.6.1",

],

)