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