1.file directory
/water_quality_prediction_inteloneAPI
├── app.py <-- main script
└── streamlit envirnment #mandatory creat streamlitenv
└── .streamlit
└──secrets.Toml
└── pages
└── chatbot.py
└── randomForestmode_1apiskexdev.pk1
└── xgmodel_with1apidev.pk1
└── logmodel_with1apidev.pk1
└── randomForestmode_without1api_job.pk1
└── xgmodel_without1api_job.pk1
└── logmodel_without1api.pk1
2.install required pakages into streamlit environment
3.using this command to run our webapp
"streamlit run app.py"
some trained models are too large .so, here I have shared my drive link .you can refer and download it.
https://drive.google.com/drive/folders/1uvgdeFO1zhgPkxr0H1kuggpFw1t7LZum?usp=sharing