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| # 🚀 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 | |
| - [x] Project structure validated | |
| - [x] All required files present | |
| - [x] Gradio added to requirements.txt | |
| - [x] Spacefile properly configured | |
| - [x] App entry point ready | |
| - [x] Sample data available | |
| - [x] 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** | |
| ```bash | |
| cd huggingface_space | |
| ``` | |
| 2. **Initialize Git repository** | |
| ```bash | |
| git init | |
| git remote add origin https://your-username:[email protected]/spaces/your-username/legal-dashboard-ocr | |
| ``` | |
| 3. **Add and commit files** | |
| ```bash | |
| 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](README.md) - Main project documentation | |
| - [DEPLOYMENT_INSTRUCTIONS.md](DEPLOYMENT_INSTRUCTIONS.md) - Detailed deployment guide | |
| - [FINAL_DEPLOYMENT_CHECKLIST.md](FINAL_DEPLOYMENT_CHECKLIST.md) - Complete checklist | |
| ### Testing | |
| - [simple_validation.py](simple_validation.py) - Quick validation | |
| - [deployment_validation.py](deployment_validation.py) - Comprehensive validation | |
| - Sample documents in [data/](data/) | |
| ### Deployment | |
| - [deploy_to_hf.py](deploy_to_hf.py) - Automated deployment script | |
| - [huggingface_space/](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 | |
| ```bash | |
| # 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 | |
| ``` | |
| --- | |
| **Note**: This deployment guide is based on the [Hugging Face Spaces documentation](https://dev.to/koolkamalkishor/how-to-upload-your-project-to-hugging-face-spaces-a-beginners-step-by-step-guide-1pkn) and [KDnuggets deployment guide](https://www.kdnuggets.com/how-to-deploy-your-llm-to-hugging-face-spaces). Follow the steps carefully to ensure successful deployment. |