Create Production-Ready API and Web Interface

[adhit-r]

Overview

Create a production-ready API and web interface for the raga detection system, building on the existing website foundation.

Current Website Status

✅ Terminal-style UI - Professional, consistent design
✅ Vercel deployment - Successfully deployed and accessible
✅ Core pages - Home, demo, research pages implemented
🔄 API Integration - Need to connect frontend to ML backend

API Development

• Create FastAPI backend for raga detection
• Implement audio file upload and processing endpoints
• Add batch processing capabilities
• Implement real-time audio analysis
• Add comprehensive error handling and validation
• Create API documentation with Swagger/OpenAPI

Web Interface Enhancements

• Add audio file upload functionality
• Implement real-time analysis results display
• Add interactive raga information panels
• Create cultural insights visualization
• Add audio playback with analysis overlay
• Implement user authentication and history

Backend Infrastructure

• Set up proper model serving infrastructure
• Implement caching for repeated analyses
• Add monitoring and logging
• Create database for user sessions and history
• Implement rate limiting and security measures

Success Criteria

• API handles audio uploads and returns detailed analysis
• Web interface provides intuitive user experience
• System can handle concurrent users
• Response times <5 seconds for typical audio files
• Comprehensive error handling and user feedback

Files to Create/Modify

• api/main.py (FastAPI backend)
• api/models.py (Pydantic models)
• core/website/upload.html (upload interface)
• core/website/analysis.html (results display)
• docker-compose.yml (containerization)

Priority: Medium

Essential for making the system accessible to users.