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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)
8 lines
132 B
Plaintext
8 lines
132 B
Plaintext
Flask==2.3.3
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Flask-CORS==4.0.0
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python-dotenv==1.0.0
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openai-whisper==20230314
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torch>=1.10.1
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python-multipart==0.0.6
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gunicorn==21.2.0
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