https://github.com/santoshshinde2012/streamlit-feature-set-validator

streamlit feature set validator
https://github.com/santoshshinde2012/streamlit-feature-set-validator

json-schema streamlit validator

Last synced: 4 days ago
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streamlit feature set validator

• Host: GitHub
• URL: https://github.com/santoshshinde2012/streamlit-feature-set-validator
• Owner: santoshshinde2012
• Created: 2025-02-08T16:04:37.000Z (5 days ago)
• Default Branch: main
• Last Pushed: 2025-02-08T16:24:48.000Z (5 days ago)
• Last Synced: 2025-02-08T17:27:36.978Z (5 days ago)
• Topics: json-schema, streamlit, validator
• Language: Python
• Homepage: https://medium.com/gitconnected/bridging-the-domain-ai-gap-a-collaborative-application-driven-machine-learning-model-0d10939f6525
• Size: 1.14 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        


  

     

  



# 📦 [Feature Set Validator](https://medium.com/gitconnected/bridging-the-domain-ai-gap-a-collaborative-application-driven-machine-learning-model-0d10939f6525)

Streamlit is a powerful tool for creating interactive web applications using Python. However, there are times when the built-in components may not meet your specific needs. In such cases, you can create custom components using modern front-end technologies like Vite, React, and TypeScript. This guide will walk you through the process of setting up a custom component for your Streamlit app, enabling a seamless integration of sophisticated front-end features with the simplicity of Python.

## How to run locally

1. Make sure to install required python packages

   

```

pip install -r requirements.txt

```

2. Run Streamlit App

```

streamlit run streamlit_app.py

```

## Demo App

[![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://app-feature-set-validator-csgcrxkvef3tuw2rtjpggc.streamlit.app/)



  

     

  



## Further Reading

- [30 Days of Streamlit](https://30days.streamlit.app/)

- [How to build your own Streamlit component](https://blog.streamlit.io/how-to-build-your-own-streamlit-component/)

- [Understanding Streamlit's client-server architecture](https://docs.streamlit.io/develop/concepts/architecture/architecture)

- [Wiki](https://github.com/streamlit/streamlit/wiki)

- [Bridging the Domain-AI Gap: A Collaborative Application-Driven Machine Learning Model

](https://medium.com/gitconnected/bridging-the-domain-ai-gap-a-collaborative-application-driven-machine-learning-model-0d10939f6525)

## Tutorials 

- [Getting Started with Streamlit and Custom Streamlit Components](https://medium.com/@santosh-shinde/getting-started-with-streamlit-and-custom-streamlit-components-491bd197cd9f)

- [Bridging the Domain-AI Gap: A Collaborative Application-Driven Machine Learning Model](https://medium.com/gitconnected/bridging-the-domain-ai-gap-a-collaborative-application-driven-machine-learning-model-0d10939f6525)

  

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