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Streamlit and FastAPI app for water potability assessment

Home Page: https://rihab-feki.medium.com/deploying-machine-learning-models-with-streamlit-fastapi-and-docker-bb16bbf8eb91

License: MIT License

Dockerfile 2.05% Python 97.95%
docker docker-compose streamlit fastapi machine-learning fiware ngsi-ld python

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streamlit-app's Issues

Doubt on the front end main.py

This project is simply a piece of art.

I'd like to know what you've done on the front end on line 493:

if choices == 'Prediction':
    st.header("Real-time prediction")
    default_id ="urn:ngsi-ld:WaterPotabilityMetrics:<id>"

What is this default_id? how to explain it? this is the definition of the variable but I don't get it how it works and how it fits on the project. thanks!

Netowrk AI serivce problem

Hi :) thanks for this great example! I have only one question: what is and how to use the network "AI service" that is written in the docker-compose.yml file? I try to reproduce your example in my PC but i get this error:

Use 'docker scan' to run Snyk tests against images to find vulnerabilities and learn how to fix them
network AIservice declared as external, but could not be found

thanks

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