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