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| title: Clarity Agent | |
| emoji: 📈 | |
| colorFrom: green | |
| colorTo: green | |
| sdk: gradio | |
| sdk_version: 5.33.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | |
| # 🧠 Clarity Agent | |
| **Clarity Agent** is a lightweight AI assistant that helps you understand and reflect on text. | |
| It takes a pasted input or uploaded `.txt`/`.md` file and returns: | |
| - 📚 A clean **summary** | |
| - 🤔 A list of **follow-up questions** to deepen understanding | |
| Built using: | |
| - 🧩 [Gradio](https://gradio.app) for the interactive interface | |
| - 🧠 `transformers` by Hugging Face for LLM-powered summarization | |
| - 🚀 Hosted as a Hugging Face Space | |
| --- | |
| ## 💡 Use Case | |
| This tool helps: | |
| - Students & researchers summarize documents | |
| - Knowledge workers explore dense material | |
| - Thinkers and readers reflect on what matters next | |
| --- | |
| ## 🛠️ How to Use | |
| 1. Paste text into the box — or upload a `.txt` or `.md` file | |
| 2. Click **Analyze** | |
| 3. Read the summary and suggested next questions | |
| --- | |
| ## 🧪 Roadmap Ideas | |
| - Add URL input to summarize web pages | |
| - Extract keywords or topic tags | |
| - Export results to Markdown | |
| - Add memory or topic chaining (via MCP) | |
| --- | |
| ## 🤝 Hackathon Participation | |
| This project is part of the [Hugging Face Gradio Hackathon 2025](https://huggingface.co/spaces/ysharma/gradio-hackathon-registration-2025), Track 3: **Agentic Demo Showcase**. | |