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import setuptools |
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from pathlib import Path |
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web_files = Path("lama_cleaner/app/build/").glob("**/*") |
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web_files = [str(it).replace("lama_cleaner/", "") for it in web_files] |
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with open("README.md", "r", encoding="utf-8") as fh: |
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long_description = fh.read() |
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def load_requirements(): |
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requirements_file_name = "requirements.txt" |
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requires = [] |
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with open(requirements_file_name) as f: |
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for line in f: |
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if line: |
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requires.append(line.strip()) |
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return requires |
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setuptools.setup( |
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name="lama-cleaner", |
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version="1.1.1", |
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author="PanicByte", |
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author_email="[email protected]", |
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description="Image inpainting tool powered by SOTA AI Model", |
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long_description=long_description, |
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long_description_content_type="text/markdown", |
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url="https://github.com/Sanster/lama-cleaner", |
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packages=setuptools.find_packages("./"), |
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package_data={"lama_cleaner": web_files}, |
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install_requires=load_requirements(), |
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python_requires=">=3.7", |
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entry_points={"console_scripts": ["lama-cleaner=lama_cleaner:entry_point"]}, |
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classifiers=[ |
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"License :: OSI Approved :: Apache Software License", |
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"Operating System :: OS Independent", |
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"Programming Language :: Python :: 3", |
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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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"Programming Language :: Python :: 3.10", |
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"Topic :: Scientific/Engineering :: Artificial Intelligence", |
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], |
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) |
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