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https://github.com/openai/whisper.git
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8c76e1b518
Backend Updates: - Add lazy loading for Whisper model (faster startup) - Use environment variables for port and config - Add root endpoint for health checking - Configure CORS for production - Add tempfile support for uploads - Update to support gunicorn production server - Add Procfile for Heroku/Railway compatibility Frontend Updates: - Optimize Vite build configuration - Add production build optimizations - Enable minification and code splitting - Configure preview server for production Configuration: - Add .env.example files for both frontend and backend - Create railway.toml for Railway deployment - Add Procfile for process management - Setup environment variable templates Documentation: - Create comprehensive RAILWAY_DEPLOYMENT.md guide - Include step-by-step deployment instructions - Add troubleshooting section - Include cost breakdown - Add monitoring and maintenance guide Dependencies: - Add gunicorn for production WSGI server Ready for Railway deployment with: - Free $5/month credit - Automatic scaling - 24/7 uptime - Custom domain support (optional)
22 lines
366 B
Plaintext
22 lines
366 B
Plaintext
# Backend environment variables
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# Copy this to .env and update with your values
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# Flask environment
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FLASK_ENV=production
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FLASK_DEBUG=False
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# Server port (Railway sets PORT automatically)
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PORT=5000
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# CORS settings
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FLASK_CORS_ORIGINS=*
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# Whisper model settings
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WHISPER_MODEL=medium
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# File upload settings
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MAX_FILE_SIZE=500000000
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# Python path
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PYTHONUNBUFFERED=1
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