HF_SPACES_SUMMARY.md

✅ Hugging Face Spaces Deployment - Complete!

Your IntegraChat project is now ready to deploy to Hugging Face Spaces! Here's what has been created:

📦 Files Created

1. Dockerfile ✅

• Multi-service Docker container
• Runs MCP server, FastAPI backend, and Gradio UI
• Includes health checks and service coordination
• Optimized for Hugging Face Spaces

2. .dockerignore ✅

• Excludes venv/, .env, and other unnecessary files
• Reduces build size and prevents secret leaks

3. README_HF_SPACES.md ✅

• Optimized README for Hugging Face Spaces
• Includes Space metadata (emoji, colors, SDK type)
• Quick start guide and feature overview

4. DEPLOY_HF_SPACES.md ✅

• Complete step-by-step deployment guide
• Troubleshooting section
• Environment variable configuration
• Best practices

🚀 Quick Deployment Steps

1. Create Space: Go to huggingface.co/new-space

   • Choose Docker as SDK
   • Set hardware (CPU basic for testing, upgrade for production)

2. Push Code:

   git init
   git remote add hf https://huggingface.co/spaces/<username>/<space-name>
   git add Dockerfile .dockerignore README_HF_SPACES.md requirements.txt app.py env.example LICENSE README.md assets/ backend/ scripts/
   git commit -m "Deploy to HF Spaces"
   git push hf main
   

3. Configure Secrets: In Space Settings → Repository secrets, add:

   • POSTGRESQL_URL
   • OLLAMA_URL (or GROQ_API_KEY)
   • OLLAMA_MODEL
   • Optional: SUPABASE_URL, SUPABASE_SERVICE_KEY, etc.

4. Wait for Build: Monitor build progress in the Logs tab (5-10 minutes)

5. Access Your Space: https://huggingface.co/spaces/<username>/<space-name>

🏗️ Architecture in Docker

The Dockerfile runs three services:

┌─────────────────────────────────────┐
│         Docker Container            │
│                                     │
│  ┌──────────────┐                  │
│  │ MCP Server   │  Port 8900       │
│  │ (Background) │                   │
│  └──────────────┘                   │
│                                     │
│  ┌──────────────┐                  │
│  │ FastAPI      │  Port 8000       │
│  │ (Background) │                   │
│  └──────────────┘                   │
│                                     │
│  ┌──────────────┐                  │
│  │ Gradio UI    │  Port 7860       │
│  │ (Foreground) │  ← Main Entry    │
│  └──────────────┘                   │
└─────────────────────────────────────┘

📋 What's Included

✅ Dockerfile - Production-ready multi-service container
✅ .dockerignore - Excludes unnecessary files
✅ README_HF_SPACES.md - Space-optimized documentation
✅ DEPLOY_HF_SPACES.md - Complete deployment guide
✅ Health checks - Service readiness verification
✅ Error handling - Graceful service startup
✅ Environment variables - Configurable via HF Space settings

🔧 Configuration

All configuration is done via environment variables in Hugging Face Space settings:

Required

• POSTGRESQL_URL - Database connection
• OLLAMA_URL + OLLAMA_MODEL - OR GROQ_API_KEY

Optional

• SUPABASE_URL + SUPABASE_SERVICE_KEY - Production storage
• GOOGLE_SEARCH_API_KEY + GOOGLE_SEARCH_CX_ID - Web search
• MCP_PORT, API_PORT - Service ports (defaults work)

📚 Next Steps

1. Review Files: Check all created files match your needs
2. Test Locally: Build Docker image locally to test:

   docker build -t integrachat .
   docker run -p 7860:7860 -p 8000:8000 -p 8900:8900 integrachat
   

3. Deploy: Follow steps in DEPLOY_HF_SPACES.md
4. Monitor: Check logs and analytics after deployment

🎯 Key Features

• ✅ Multi-service orchestration - All services run in one container
• ✅ Health checks - Services wait for each other to be ready
• ✅ Error handling - Graceful failures and logging
• ✅ Production-ready - Optimized for Hugging Face Spaces
• ✅ Configurable - All settings via environment variables

💡 Tips

1. First Build: May take 10-15 minutes (downloads dependencies)
2. Subsequent Builds: Faster (cached layers)
3. Logs: Check Logs tab for detailed startup information
4. Database: Ensure PostgreSQL is accessible from HF servers
5. LLM: Consider Groq API for cloud-based LLM (no local server needed)

🆘 Need Help?

• Check DEPLOY_HF_SPACES.md for detailed troubleshooting
• Review Dockerfile comments for service configuration
• Check Hugging Face Spaces documentation for platform-specific issues

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Your project is ready to deploy! 🚀

Follow the steps in DEPLOY_HF_SPACES.md to get started.