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Streamlit Forecasting Dashboard App:

we need here to create multi-page application that holds performance monitoring service of the model, and forecasting service that shows the forecasting, and actual temperature daily.

using streamlit, and ploomber-cloud, we created multi page streamlit application, and deploy it easly.

to create multi page application, create all secondary pages in sub directory called pages/, and the main page must be named app.py to follow ploomber cloud instructions, like the following

# application file structure
.
|-- README.md
|-- app.py
|-- pages
|   |-- monitoring_service.py
|   `-- weather_forecasting_service.py
|-- ploomber-cloud.json
|-- requirements.txt
`-- serve
    |-- monitoring.py
    `-- weather_forecasting.py

to deploy the application:

  • create ploomber cloud account, and create API key.
  • first set API key using
ploomber-cloud key <API-key>
  • intialize it
ploomber-cloud init
  • you will be asked to choose project type
  • to deploy your application
ploomber-cloud deploy

to trigger, and refresh the application use Github actions refresh-dashboard