FINAL_DEPLOYMENT_INSTRUCTIONS.md

🚀 Final Deployment Instructions - Legal Dashboard OCR

✅ Pre-Deployment Validation Complete

All validation checks have passed! The project is ready for deployment to Hugging Face Spaces.

📋 Deployment Checklist

✅ Completed Items

• Project structure validated
• All required files present
• Gradio added to requirements.txt
• Spacefile properly configured
• App entry point ready
• Sample data available
• Documentation complete

🔧 Step-by-Step Deployment Guide

Step 1: Create Hugging Face Space

1. Go to Hugging Face Spaces

   • Visit: https://huggingface.co/spaces
   • Click "Create new Space"

2. Configure Space Settings

   • Owner: Your Hugging Face username
   • Space name: legal-dashboard-ocr (or your preferred name)
   • SDK: Gradio
   • License: MIT
   • Visibility: Public
   • Hardware: CPU (Free tier)

3. Create the Space

   • Click "Create Space"
   • Note your Space URL: https://huggingface.co/spaces/your-username/legal-dashboard-ocr

Step 2: Prepare Files for Upload

The deployment files are already prepared in the huggingface_space/ directory:

huggingface_space/
├── app.py              # Gradio entry point
├── Spacefile           # HF Space configuration
├── README.md           # Space documentation
├── requirements.txt    # Python dependencies
├── app/               # Backend services
├── data/              # Sample documents
└── tests/             # Test files

Step 3: Upload to Hugging Face Space

Option A: Using Git (Recommended)

1. Navigate to HF Space directory

   cd huggingface_space
   

2. Initialize Git repository

   git init
   git remote add origin https://your-username:[email protected]/spaces/your-username/legal-dashboard-ocr
   

3. Add and commit files

   git add .
   git commit -m "Initial deployment of Legal Dashboard OCR"
   git push -u origin main
   

Option B: Using Hugging Face Web Interface

1. Go to your Space page
2. Click "Files" tab
3. Upload all files from huggingface_space/ directory
4. Wait for automatic build

Step 4: Configure Environment Variables

1. Go to Space Settings

   • Navigate to your Space page
   • Click "Settings" tab

2. Add HF Token

   • Add environment variable: HF_TOKEN
   • Value: Your Hugging Face access token
   • Get token from: https://huggingface.co/settings/tokens

3. Save Settings

   • Click "Save" to apply changes

Step 5: Verify Deployment

1. Check Build Status

   • Monitor the build logs
   • Ensure no errors during installation

2. Test the Application

   • Upload a Persian PDF document
   • Test OCR processing
   • Verify AI analysis works
   • Check dashboard functionality

🧪 Post-Deployment Testing

✅ Basic Functionality Test

• Space loads without errors
• Gradio interface is accessible
• File upload works
• OCR processing functions
• AI analysis works
• Dashboard displays correctly

✅ Document Processing Test

• Upload Persian PDF document
• Verify text extraction
• Check OCR confidence scores
• Test AI scoring
• Verify category prediction
• Test document saving

✅ Performance Test

• Processing time is reasonable (< 30 seconds)
• Memory usage is within limits
• No timeout errors
• Model loading works correctly

🔍 Troubleshooting

Common Issues and Solutions

1. Build Failures

Issue: Space fails to build Solution:

• Check requirements.txt for compatibility
• Verify Python version in Spacefile
• Review build logs for specific errors

2. Model Loading Issues

Issue: OCR models fail to load Solution:

• Verify HF_TOKEN is set correctly
• Check internet connectivity
• Ensure model names are correct

3. Memory Issues

Issue: Out of memory errors Solution:

• Use smaller models
• Optimize image processing
• Monitor memory usage

4. Performance Issues

Issue: Slow processing times Solution:

• Use CPU-optimized models
• Implement caching
• Optimize image preprocessing

📊 Monitoring and Maintenance

✅ Regular Checks

• Monitor Space logs for errors
• Check processing success rates
• Monitor user feedback
• Track performance metrics

✅ Updates and Improvements

• Update dependencies regularly
• Improve error handling
• Optimize performance
• Add new features

🎯 Success Criteria

✅ Deployment Success

• Space is publicly accessible
• All features work correctly
• Performance is acceptable
• Error handling is robust

✅ User Experience

• Interface is intuitive
• Processing is reliable
• Results are accurate
• Documentation is clear

📞 Support Resources

Documentation

• README.md - Main project documentation
• DEPLOYMENT_INSTRUCTIONS.md - Detailed deployment guide
• FINAL_DEPLOYMENT_CHECKLIST.md - Complete checklist

Testing

• simple_validation.py - Quick validation
• deployment_validation.py - Comprehensive validation
• Sample documents in data/

Deployment

• deploy_to_hf.py - Automated deployment script
• huggingface_space/ - HF Space files

🎉 Final Deliverable

Once deployment is complete, you will have:

✅ A publicly accessible Hugging Face Space hosting the Legal Dashboard OCR system ✅ Fully functional backend with OCR pipeline and AI scoring ✅ Modern web interface with Gradio ✅ Comprehensive testing and validation ✅ Complete documentation for users and developers ✅ Production-ready deployment with monitoring and maintenance

Space URL: https://huggingface.co/spaces/your-username/legal-dashboard-ocr

🚀 Quick Start Commands

# Navigate to project
cd legal_dashboard_ocr

# Run validation
python simple_validation.py

# Deploy using script (optional)
python deploy_to_hf.py

# Manual deployment
cd huggingface_space
git init
git remote add origin https://your-username:[email protected]/spaces/your-username/legal-dashboard-ocr
git add .
git commit -m "Initial deployment"
git push -u origin main

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Note: This deployment guide is based on the Hugging Face Spaces documentation and KDnuggets deployment guide. Follow the steps carefully to ensure successful deployment.