Question Generator Web App using T5 and Gradio

Generative AI NLP Transformers Gradio

Demo

A lightweight NLP-powered web app using HuggingFace's valhalla/t5-small-qg-hl model — a fine-tuned T5 variant for question generation — deployed through a Gradio interface. Users paste a paragraph and receive syntactically valid, context-aware questions for educational or study-aid purposes.

The interface includes input validation, example-driven prompting, and formatted output with error handling for edge cases. Deployable to Hugging Face Spaces for public access.

Built with

Python HuggingFace T5 Gradio Transformers

valhalla/t5-small-qg-hl wrapped in Gradio — beam search decoding, input validation, and example prompting for context-aware question generation.

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