Skip to content

DEPLOYMENT_GUIDE.md

Latest commit

 

History

History
70 lines (56 loc) · 2.16 KB

DEPLOYMENT_GUIDE.md

File metadata and controls

70 lines (56 loc) · 2.16 KB

CodedSwitch Deployment Guide

Quick Deploy to Render

1. GitHub Setup

git init
git add .
git commit -m "Initial commit - CodedSwitch AI Music Platform"
git branch -M main
git remote add origin https://github.com/yourusername/codedswitch.git
git push -u origin main

2. Render Deployment

  1. Connect your GitHub repository to Render
  2. Use the render.yaml configuration (auto-detected)
  3. Set the following environment variables in Render:

Required Variables:

  • GOOGLE_SERVICE_ACCOUNT_KEY - Your Google Service Account JSON (for 16GB dataset access)
  • ANTHROPIC_API_KEY - Your Anthropic API key for Claude AI
  • OPENAI_API_KEY - Your OpenAI API key (optional fallback)

Optional Variables (for full features):

  • STRIPE_SECRET_KEY - Stripe secret key for payments
  • STRIPE_PRICE_ID_BASIC - Stripe price ID for basic plan
  • STRIPE_PRICE_ID_PRO - Stripe price ID for pro plan
  • VITE_STRIPE_PUBLIC_KEY - Stripe publishable key

3. Database

  • Render will automatically create a PostgreSQL database
  • Database tables will be created automatically on first run

Features Available

Core AI Music Generation

✅ Beat maker with professional rhythms ✅ Melody composer with chord progressions ✅ Lyric generator with AI assistance ✅ Professional mixing studio with EQ/effects ✅ Real song composition (not random notes)

Advanced Features

✅ 16,000+ professional audio references for AI training ✅ Google Drive integration for massive dataset processing ✅ Advanced musical arrangement system ✅ Professional mixer with individual track controls ✅ User authentication and subscription system

Production Ready

✅ Health check endpoint ✅ Error handling and graceful degradation ✅ Scalable architecture with background processing ✅ Real-time audio processing with Web Audio API

System Requirements

  • Node.js 20+
  • PostgreSQL database
  • Google Drive API access (for dataset)
  • AI API keys (Anthropic/OpenAI)

Performance

  • Handles 16,000+ audio files
  • Batch processing for large datasets
  • Background processing for heavy operations
  • Optimized for production deployment

Built with React, Express, PostgreSQL, and Web Audio API.