| # --------------------------------------------- | |
| # requirements.txt for Tourism Project Deployment | |
| # --------------------------------------------- | |
| # This file specifies all Python dependencies | |
| # required to run the Streamlit deployment app | |
| # and training pipeline in a reproducible environment. | |
| # --------------------------------------------- | |
| # Data manipulation and analysis | |
| pandas==2.2.2 | |
| # For downloading models/datasets from Hugging Face Hub | |
| huggingface_hub==0.32.6 | |
| # Web application framework to build interactive UI for prediction | |
| streamlit==1.43.2 | |
| # For saving and loading trained ML models | |
| joblib==1.5.1 | |
| # Machine learning library (used for preprocessing, pipelines, etc.) | |
| scikit-learn==1.6.0 | |
| # Gradient boosting framework used to train the prediction model | |
| xgboost==2.1.4 | |
| # ML lifecycle tracking and experiment management (used for logging experiments) | |
| mlflow==3.0.1 | |