DEPLOYMENT_GUIDE.md

🚀 Hugging Face Spaces Deployment Guide

Overview

This guide provides step-by-step instructions for deploying the Legal Dashboard OCR system to Hugging Face Spaces using the Docker SDK.

📋 Prerequisites

• Hugging Face account
• Git repository with the project
• Docker installed locally (for testing)

🏗️ Project Structure

legal_dashboard_ocr/
├── Dockerfile              # Docker container definition
├── .dockerignore          # Files to exclude from Docker build
├── docker-compose.yml     # Local testing configuration
├── requirements.txt       # Python dependencies
├── README.md             # HF Spaces metadata + documentation
├── app/                  # FastAPI application
│   ├── main.py          # Main application entry point
│   ├── api/             # API route handlers
│   ├── services/        # Business logic services
│   └── models/          # Data models
├── frontend/            # Web interface files
├── data/               # Sample documents
└── tests/              # Test suite

🔧 Local Testing

1. Build Docker Image

cd legal_dashboard_ocr
docker build -t legal-dashboard-ocr .

2. Test Locally

# Using docker run
docker run -p 7860:7860 legal-dashboard-ocr

# Or using docker-compose
docker-compose up

3. Verify Deployment

• Dashboard: http://localhost:7860
• API Docs: http://localhost:7860/docs
• Health Check: http://localhost:7860/health

🚀 Hugging Face Spaces Deployment

Step 1: Create New Space

1. Go to Hugging Face Spaces
2. Click "Create new Space"
3. Choose settings:
   • Owner: Your username
   • Space name: legal-dashboard-ocr
   • SDK: Docker
   • License: Choose appropriate license

Step 2: Upload Code

# Clone your repository (if not already done)
git clone <your-repo-url>
cd legal_dashboard_ocr

# Push to Hugging Face Space
git remote add space https://huggingface.co/spaces/<username>/legal-dashboard-ocr
git push space main

Step 3: Monitor Deployment

1. Go to your Space page
2. Check the "Build logs" tab
3. Wait for build completion (usually 5-10 minutes)
4. Verify the Space is running on port 7860

🔍 Verification Checklist

✅ Docker Build

• Dockerfile exists and is valid
• .dockerignore excludes unnecessary files
• Requirements.txt has all dependencies
• Port 7860 is exposed

✅ Application Configuration

• Main.py runs on port 7860
• Health endpoint responds correctly
• CORS is configured for HF Spaces
• Static files are served correctly

✅ HF Spaces Metadata

• README.md has correct YAML header
• SDK is set to "docker"
• Title and emoji are set
• Colors are configured

✅ API Endpoints

• / - Dashboard interface
• /health - Health check
• /docs - API documentation
• /api/ocr/process - OCR processing
• /api/dashboard/summary - Dashboard data

🐛 Troubleshooting

Common Issues

1. Build Fails

   • Check Dockerfile syntax
   • Verify all dependencies in requirements.txt
   • Check .dockerignore excludes too many files

2. Container Won't Start

   • Verify port 7860 is exposed
   • Check CMD instruction in Dockerfile
   • Review application logs

3. API Endpoints Not Working

   • Verify CORS configuration
   • Check route definitions
   • Test locally first

4. Static Files Not Loading

   • Check file paths in main.py
   • Verify files are copied to container
   • Test static file serving

Debug Commands

# Check container logs
docker logs <container-id>

# Enter container for debugging
docker exec -it <container-id> /bin/bash

# Test health endpoint
curl http://localhost:7860/health

# Check container status
docker ps

📊 Performance Optimization

Docker Optimizations

• Multi-stage builds for smaller images
• Layer caching for faster builds
• Alpine Linux base for minimal size

Application Optimizations

• Async/await for I/O operations
• Connection pooling for database
• Caching for OCR models
• Compression for static files

🔒 Security Considerations

Container Security

• Non-root user in container
• Minimal base image
• Regular security updates
• No sensitive data in image

Application Security

• Input validation on all endpoints
• Rate limiting for API calls
• Secure file upload handling
• CORS configuration

📈 Monitoring

Health Checks

• Application health endpoint
• Database connectivity
• OCR service availability
• Memory and CPU usage

Logging

• Structured logging with timestamps
• Error tracking and alerting
• Performance metrics
• User activity monitoring

🎯 Success Criteria

✅ Deployment Successful

• Space builds without errors
• Application starts on port 7860
• Health endpoint returns 200 OK

✅ Functionality Verified

• Dashboard loads correctly
• OCR processing works
• API endpoints respond
• File uploads function

✅ Performance Acceptable

• Page load times < 3 seconds
• OCR processing < 30 seconds
• API response times < 1 second

🚀 Next Steps

1. Monitor Performance: Track usage and performance metrics
2. Add Features: Implement additional OCR capabilities
3. Scale: Optimize for higher traffic
4. Security: Implement additional security measures
5. Documentation: Update user documentation

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🎉 Congratulations! Your Legal Dashboard OCR system is now deployed on Hugging Face Spaces with Docker SDK.