-
Notifications
You must be signed in to change notification settings - Fork 403
/
setup.py
52 lines (47 loc) · 1.61 KB
/
setup.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
# -*- coding: utf-8 -*-
import sys
from setuptools import setup, find_packages
# Avoids IDE errors, but actual version is read from version.py
__version__ = ""
exec(open('text2vec/version.py').read())
if sys.version_info < (3,):
sys.exit('Sorry, Python3 is required.')
with open('README.md', 'r', encoding='utf-8') as f:
readme = f.read()
setup(
name='text2vec',
version=__version__,
description='Text to vector Tool, encode text',
long_description=readme,
long_description_content_type='text/markdown',
author='XuMing',
author_email='[email protected]',
url='https://github.com/shibing624/text2vec',
license="Apache License 2.0",
zip_safe=False,
python_requires=">=3.6.0",
entry_points={"console_scripts": ["text2vec = text2vec.cli:main"]},
classifiers=[
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: Apache Software License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
],
keywords='word embedding,text2vec,Chinese Text Similarity Calculation Tool,similarity,word2vec',
install_requires=[
"jieba",
"loguru",
"transformers",
"datasets",
"tqdm",
"scikit-learn",
"pandas",
],
packages=find_packages(exclude=['tests']),
package_dir={'text2vec': 'text2vec'},
package_data={'text2vec': ['*.*', 'data/*.txt']}
)