Files
scribe/setup.py
T
2023-09-22 16:17:32 +02:00

61 lines
2.1 KiB
Python

from calendar import c
import pkg_resources
import os
from setuptools import setup, find_packages
module_name = "scraibe"
github_url = "https://github.com/JSchmie/autotranscript"
file_dir = os.path.dirname(os.path.realpath(__file__))
absdir = lambda p: os.path.join(file_dir, p)
############### versioning ###############
verfile = os.path.abspath(os.path.join(module_name, "version.py"))
version = {"__file__": verfile}
with open(verfile, "r") as fp:
exec(fp.read(), version)
############### setup ###############
build_version = "SCRAIBE_BUILD" in os.environ
if __name__ == "__main__":
setup(
name=module_name,
version=version["get_version"](build_version),
packages=find_packages(),
python_requires=">=3.8",
readme="README.md",
install_requires = [str(r) for r in pkg_resources.parse_requirements(
open(os.path.join(os.path.dirname(__file__), "requirements.txt"))
)
],
dependency_links=[
'https://download.pytorch.org/whl/cu113',
],
url= github_url,
license='GPL-3',
author='Jacob Schmieder',
author_email='Jacob.Schmieder@dbfz.de',
description='Transcription tool for audio files based on Whisper and Pyannote',
classifiers=[
'Development Status :: 3 - Alpha',
'Environment :: GPU :: NVIDIA CUDA :: 11.2',
'License :: OSI Approved :: Open Software License 3.0 (OSL-3.0)',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
'Programming Language :: Python :: 3.10'],
keywords = ['transcription', 'speech recognition', 'whisper', 'pyannote', 'audio',
'speech-to-text', 'speech-to-text transcription', 'speech-to-text recognition',
'voice-to-speech'],
package_data={ "header" : ["app/header.html"], "logo" : ["app/Logo_KIDA_bmel_green.svg"]},
entry_points={'console_scripts':
['scraibe = scraibe.cli:cli']}
)