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| # Flask: the web framework that handles HTTP requests and routing | |
| flask==3.1.1 | |
| # Joblib: loads the serialised model pipeline from disk | |
| joblib==1.4.2 | |
| # Pandas: converts incoming json to DataFrame for the pipeline | |
| pandas==2.2.2 | |
| # Numpy: required by scikit-learn and the model internally | |
| numpy==2.0.2 | |
| # Scikit-learn: contains the preprocessor (OneHotEncoder, StandardScaler) and model | |
| scikit-learn==1.6.1 | |
| # XGBoost: required if the best model is XGBoost | |
| xgboost==2.1.4 | |
| # Gunicorn: production-grade WSGI server (replaces Flask's dev server) | |
| gunicorn==23.0.0 | |