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']} )