The LLM-based topic recognition model is complete and adapted to quickly updating Weibo topics.
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from setuptools import setup, find_packages
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with open("README.md", 'r', encoding='utf') as f:
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long_description = f.read()
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setup(
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name='topicgpt',
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version='0.0.5',
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packages=find_packages(where='src'),
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package_dir={'': 'src'},
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install_requires=[
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'gensim',
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'hdbscan',
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'nltk',
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'numpy',
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'openai>=1.0.0',
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'pandas',
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'plotly',
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'regex',
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'scikit-learn',
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'seaborn',
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'sentence-transformers',
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'tiktoken',
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'tokenizers',
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'tqdm',
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'umap-learn',
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'umap-learn[plot]'
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],
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include_package_data=True,
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# Additional metadata
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author='Arik Reuter',
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author_email='arik_reuter@gmx.de',
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description='A package for integrating LLMs like GPT-3.5 and GPT-4 into topic modelling',
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long_description=long_description,
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long_description_content_type="text/markdown",
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license="MIT",
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keywords=['Topic Modelling', 'GPT', 'LLM', 'OpenAI', 'Retrieval Augmented Generation', 'Chat-GPT', 'GPT-3', 'GPT-4'],
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classifiers=[
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"Development Status :: 3 - Alpha",
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'Intended Audience :: Science/Research',
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"Intended Audience :: Developers",
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"Programming Language :: Python :: 3.11",
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"Operating System :: Unix",
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"Operating System :: MacOS :: MacOS X",
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"Operating System :: Microsoft :: Windows",
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]
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)
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