metadata

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 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.

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/