Spaces:
Running
Running
File size: 1,969 Bytes
99f9967 |
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 53 54 55 56 57 58 59 60 61 62 |
#!/usr/bin/env python3
from collections import defaultdict
from pathlib import Path
import setuptools
from setuptools import setup
this_dir = Path(__file__).parent
module_dir = this_dir / "piper_train"
# -----------------------------------------------------------------------------
# Load README in as long description
long_description: str = ""
readme_path = this_dir / "README.md"
if readme_path.is_file():
long_description = readme_path.read_text(encoding="utf-8")
requirements = []
requirements_path = this_dir / "requirements.txt"
if requirements_path.is_file():
with open(requirements_path, "r", encoding="utf-8") as requirements_file:
requirements = requirements_file.read().splitlines()
version_path = module_dir / "VERSION"
with open(version_path, "r", encoding="utf-8") as version_file:
version = version_file.read().strip()
# -----------------------------------------------------------------------------
setup(
name="piper_train",
version=version,
description="A fast and local neural text to speech system",
long_description=long_description,
url="http://github.com/rhasspy/piper",
author="Michael Hansen",
author_email="[email protected]",
license="MIT",
packages=setuptools.find_packages(),
package_data={
"piper_train": ["VERSION", "py.typed"],
},
install_requires=requirements,
extras_require={':python_version<"3.9"': ["importlib_resources"]},
entry_points={
"console_scripts": [
"piper-train = piper_train.__main__:main",
]
},
classifiers=[
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"Topic :: Text Processing :: Linguistic",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
],
keywords="rhasspy tts speech voice",
)
|