mirror of
https://github.com/gradio-app/gradio.git
synced 2024-11-21 01:01:05 +08:00
40 lines
1.5 KiB
Python
40 lines
1.5 KiB
Python
try:
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from setuptools import setup
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except ImportError:
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from distutils.core import setup
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from pathlib import Path
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import re
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this_directory = Path(__file__).parent
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long_description = (this_directory / "README.md").read_text(encoding='utf8')
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# Replace relative paths to images with absolute paths
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long_description = re.sub("website/homepage/", "https://raw.githubusercontent.com/gradio-app/gradio/main/website/homepage/", long_description)
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long_description = re.sub(r"demo/([\S]*.gif)", r"https://raw.githubusercontent.com/gradio-app/gradio/main/demo/\g<1>", long_description)
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version = (this_directory / "gradio" / "version.txt").read_text(
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encoding='utf8').strip()
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with open("requirements.txt") as reqs:
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requirements = reqs.readlines()
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setup(
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name="gradio",
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version=version,
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include_package_data=True,
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description="Python library for easily interacting with trained machine learning models",
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long_description=long_description,
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long_description_content_type='text/markdown',
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author="Abubakar Abid, Ali Abid, Ali Abdalla, Dawood Khan, Ahsen Khaliq, Pete Allen, Ömer Faruk Özdemir",
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author_email="team@gradio.app",
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url="https://github.com/gradio-app/gradio",
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packages=["gradio", "gradio.test_data", "test.test_files"],
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license="Apache License 2.0",
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keywords=["machine learning", "visualization", "reproducibility"],
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install_requires=requirements,
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entry_points={
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'console_scripts': ['gradio=gradio.reload:run_in_reload_mode']
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},
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python_requires='>=3.7',
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)
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