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| title: DebugGenie | |
| emoji: 🧞 | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 5.0.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| # DebugGenie 🧞 - AI Debugging Assistant | |
| **Multi-Agent AI System for Intelligent Error Analysis** | |
| Powered by Claude, Gemini, and GPT-4 working together to solve your bugs. | |
| ## Features | |
| - 🤖 **Multi-Agent Analysis**: Three specialized AI agents collaborate to debug your errors | |
| - 🎨 **3D Error Flow Visualization**: Interactive visualization of execution paths | |
| - 🔊 **Voice Explanations**: AI-generated voice walkthroughs of solutions | |
| - 📊 **Confidence Scoring**: Each solution ranked by probability of success | |
| - 🧩 **Context-Aware**: Upload screenshots, code files, and stack traces | |
| ## Architecture | |
| This Space is the **frontend** for DebugGenie. The heavy AI processing runs on Modal's serverless infrastructure. | |
| - **Frontend**: Lightweight Gradio UI (this Space) | |
| - **Backend**: Modal serverless functions with GPU support | |
| - **Communication**: Secure HTTPS API calls | |
| ## Usage | |
| 1. Paste your error message or stack trace | |
| 2. Optionally upload a screenshot or code files | |
| 3. Click "Analyze Error" | |
| 4. Get AI-powered solutions with confidence scores | |
| ## Configuration | |
| This Space requires a `MODAL_API_URL` secret pointing to the deployed Modal backend. | |
| ## Tech Stack | |
| - Gradio 5.0 | |
| - Pydantic for data validation | |
| - Plotly for visualizations | |
| - Requests for backend communication | |
| ## License | |
| MIT License - See LICENSE file for details | |