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* add bertopic to requirements * basic topic modeling * topic modeling using BERT; bugfix if no text on post * update for google colab * Catch connection errors * replace newline character with space * move topic analysis into PostprocessText class * set up dataflow topic analysis * expose topic model to UI * tests for class init * tests for topic analysis * more tests * take care of carriage return on windows * take care of carriage return on windows * take care of carriage return on windows * set encoding to ensure windows compatibility * track encoding error * more debug * skip topic analysis debug * windows fixes
58 строки
1.2 KiB
TOML
58 строки
1.2 KiB
TOML
[build-system]
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requires = [
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"setuptools==61",
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]
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build-backend = "setuptools.build_meta"
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[project]
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name = "misinformation"
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version = "0.0.1"
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description = "Misinformation campaign analysis"
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readme = "README.md"
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maintainers = [
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{ name = "Inga Ulusoy", email = "ssc@iwr.uni-heidelberg.de" },
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{ name = "Dominic Kempf", email = "ssc@iwr.uni-heidelberg.de" },
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]
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requires-python = ">=3.8"
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license = { text = "MIT" }
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classifiers = [
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"Programming Language :: Python :: 3",
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"Operating System :: OS Independent",
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"License :: OSI Approved :: MIT License",
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]
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dependencies = [
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"google-cloud-vision",
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"cvlib",
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"deepface <= 0.0.75",
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"ipywidgets",
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"numpy<=1.23.4",
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"opencv_python",
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"pandas",
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"pooch",
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"protobuf",
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"retina_face",
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"setuptools",
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"tensorflow",
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"keras",
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"openpyxl",
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"pytest",
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"pytest-cov",
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"matplotlib",
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"pytest",
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"opencv-contrib-python",
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"googletrans==3.1.0a0",
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"spacy",
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"jupyterlab",
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"spacytextblob",
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"textblob",
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"bertopic",
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"grpcio",
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"pandas",
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]
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[project.scripts]
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misinformation_prefetch_models = "misinformation.utils:misinformation_prefetch_models"
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[tool.setuptools]
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packages = ["misinformation"]
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