Add SHAP explanations to API and Streamlit#6
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| X = preprocessor.transform(input_df) | ||
| feature_names = preprocessor.get_feature_names_out() | ||
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| import shap |
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This new import shap introduces a runtime dependency that is only added to requirements.txt, but pyproject.toml still omits shap from [project].dependencies. If users install the app via pip install . (PEP 621), the import will raise ModuleNotFoundError and /explain/Streamlit will fail at runtime; consider adding shap to pyproject.toml dependencies (or an optional extra) so package installs remain functional.
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Adds SHAP explanations to FastAPI (/explain)
Adds SHAP contributions table to Streamlit
Adds shap to requirements.txt