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| title: Evolution Aurora - AI Learning to Code | |
| emoji: ๐ | |
| colorFrom: purple | |
| colorTo: green | |
| sdk: gradio | |
| sdk_version: 5.33.1 | |
| app_file: app.py | |
| pinned: true | |
| tags: | |
| - track3-agentic-demo | |
| - modal-sponsor | |
| - evolution | |
| - visualization | |
| - ai-agents | |
| - mcp | |
| - hackathon | |
| license: mit | |
| # ๐ Evolution Aurora - Watch AI Learn to Code | |
| **HuggingFace Agents-MCP Hackathon 2025 Submission** | |
| ## ๐ Track 3: Agentic Demo Showcase | |
| Experience the magic of AI evolution in real-time! Watch as artificial intelligence learns to write better code through evolutionary algorithms, visualized with stunning aurora particle effects. | |
| ### โจ Key Features | |
| - **Aurora Particle Effects**: Beautiful visual bursts triggered by fitness improvements | |
| - **3D Fitness Landscape**: Watch programs climb toward optimal solutions | |
| - **Real-time Evolution**: See AI improve code generation by generation | |
| - **Interactive Controls**: Start/stop evolution and observe the process | |
| ### ๐ค Agent Integration | |
| This demo showcases how AI agents can evolve and improve code autonomously using the [Evolve framework](https://github.com/johan-gras/evolve). The visualization makes the abstract process of machine learning tangible and beautiful. | |
| ### ๐ Sponsor: Modal | |
| Designed to leverage Modal's cloud infrastructure for parallel evolution execution (demo runs in simulation mode). | |
| ### ๐ ๏ธ Technical Stack | |
| - **Frontend**: Gradio with custom HTML5 Canvas | |
| - **Visualization**: Plotly for 3D landscapes | |
| - **Effects**: Pure JavaScript particle system | |
| - **Framework**: Evolve (evolutionary algorithms) | |
| ### ๐ฎ How to Use | |
| 1. Click "Start Evolution" to begin | |
| 2. Watch the aurora effects burst with each improvement | |
| 3. Observe programs climbing the fitness landscape | |
| 4. Monitor real-time progress in the event log | |
| Built with โค๏ธ for the HF Agents-MCP Hackathon 2025 |