Create Production-Ready API and Web Interface

## 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.