water_quality_predicition_inteloneAPI

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