README.md

metadata

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