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import os |
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from setuptools import setup, find_packages |
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install_requires = [ |
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"Cython", |
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"dtw-python", |
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"openai-whisper", |
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] |
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required_packages_filename = os.path.join(os.path.dirname(__file__), "requirements.txt") |
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if os.path.exists(required_packages_filename): |
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install_requires2 = [l.strip() for l in open(required_packages_filename).readlines()] |
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assert install_requires == install_requires2, f"requirements.txt is not up-to-date: {install_requires} != {install_requires2}" |
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version = None |
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license = None |
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with open(os.path.join(os.path.dirname(__file__), "whisper_timestamped", "transcribe.py")) as f: |
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for line in f: |
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if line.strip().startswith("__version__"): |
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version = line.split("=")[1].strip().strip("\"'") |
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if version and license: |
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break |
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if line.strip().startswith("__license__"): |
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license = line.split("=")[1].strip().strip("\"'") |
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if version and license: |
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break |
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assert version and license |
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description="Multi-lingual Automatic Speech Recognition (ASR) based on Whisper models, with accurate word timestamps, access to language detection confidence, several options for Voice Activity Detection (VAD), and more." |
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setup( |
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name="whisper-timestamped", |
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py_modules=["whisper_timestamped"], |
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version=version, |
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description=description, |
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long_description=description+"\nSee https://github.com/linto-ai/whisper-timestamped for more information.", |
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long_description_content_type='text/markdown', |
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python_requires=">=3.7", |
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author="Jeronymous", |
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url="https://github.com/linto-ai/whisper-timestamped", |
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license=license, |
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packages=find_packages(exclude=["tests*"]), |
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install_requires=install_requires, |
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entry_points = { |
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'console_scripts': [ |
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'whisper_timestamped=whisper_timestamped.transcribe:cli', |
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'whisper_timestamped_make_subtitles=whisper_timestamped.make_subtitles:cli' |
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], |
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}, |
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include_package_data=True, |
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extras_require={ |
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'dev': ['matplotlib==3.7.4', 'transformers'], |
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'vad_silero': ['onnxruntime', 'torchaudio'], |
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'vad_auditok': ['auditok'], |
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'test': ['jsonschema'], |
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}, |
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) |
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