| gradio # For creating the interactive web interface | |
| joblib # For saving and loading the machine learning models | |
| numpy # For numerical operations | |
| pandas # For data manipulation and analysis | |
| scikit-learn # For machine learning algorithms and preprocessing | |
| matplotlib # For data visualization | |
| seaborn # For advanced data visualization (optional, but useful for plotting) | |
| xgboost # If you plan to use the XGBoost model | |
| lightgbm # If you plan to use the LightGBM model | |
| tensorflow # If you are using deep learning models | |