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---
title: Scraper with Instructions
emoji: 🥷
colorFrom: gray
colorTo: yellow
sdk: gradio
sdk_version: 4.31.4
app_file: app.py
pinned: false
---
# Scrape and Summarize Web Content with AI
## Overview
This project provides an easy way to scrape and summarize web content using advanced AI models hosted on Hugging Face. It leverages the capabilities of ScrapeGraphAI and integrates a user-friendly interface with Gradio. The project allows users to input a prompt and a source URL to obtain summarized web content without writing any code.
## Features
- **No-code interface**: Easily scrape and summarize web content.
- **Advanced AI models**: Utilizes Hugging Face models for language processing and embeddings.
- **Gradio integration**: User-friendly interface to interact with the models.
- **Customizable**: Change models and configurations as needed. (coming soon)
## Configuration
- **Models**:
- The project uses `Mistral-7B-Instruct-v0.2` for the language model and `sentence-transformers/all-MiniLM-l6-v2` for embeddings.
## Contributing
Contributions are welcome! Please submit pull requests or open issues to suggest improvements.
## Acknowledgements
- [ScrapeGraphAI](https://github.com/VinciGit00/Scrapegraph-ai)
- [Hugging Face](https://huggingface.co/)
- [Gradio](https://gradio.app/) |