---
title: Demo
emoji: 😄
colorFrom: purple
colorTo: purple
sdk: gradio
sdk_version: 5.22.0
app_file: app.py
pinned: false
license: cc
---

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

# ML Ops using GitHub and Hugging Face

This project demonstrates an end-to-end ML Ops pipeline using GitHub Workflows and Hugging Face Spaces. The application is a Text Summarizer that uses [Gradio](https://www.gradio.app/) APIs. The project demonstrates the various steps from the code being checked-in to GitHub to the application getting hosted and available to the end user. Below is the architecture of the application.

![MLOps-GitHub-HF-Architecture](https://github.com/user-attachments/assets/1690736a-4ff8-4447-a0bb-b74674a0b4f6)

If you want to know more about building AI/ML applications fast using Gradio, DeepLearning.ai has an excellent course - [https://www.deeplearning.ai/short-courses/building-generative-ai-applications-with-gradio/](https://www.deeplearning.ai/short-courses/building-generative-ai-applications-with-gradio/)