🔥 PDF Document Translator MCP Server - Complete Implementation

.gitignore

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+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# Virtual environments
+venv/
+env/
+ENV/
+env.bak/
+venv.bak/
+
+# IDE
+.vscode/
+.idea/
+*.swp
+*.swo
+*~
+
+# OS
+.DS_Store
+.DS_Store?
+._*
+.Spotlight-V100
+.Trashes
+ehthumbs.db
+Thumbs.db
+
+# Gradio
+gradio_cached_examples/
+flagged/
+
+# Model cache
+.cache/
+models/
+
+# Temporary files
+*.tmp
+*.temp
+temp/
+tmp/
+
+# Logs
+*.log
+logs/
+
+# Environment variables
+.env
+.env.local
+.env.*.local
+

DEPLOYMENT.md

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+# 🚀 Deployment Guide for PDF Document Translator MCP Server
+
+This guide covers how to deploy your PDF Document Translator MCP Server to Hugging Face Spaces and other platforms.
+
+## 📋 Prerequisites
+
+- Hugging Face account
+- Git installed locally
+- Python 3.8+ for local testing
+
+## 🤗 Hugging Face Spaces Deployment
+
+### Method 1: Web Interface (Recommended for beginners)
+
+1. **Create a New Space**
+   - Go to [huggingface.co/spaces](https://huggingface.co/spaces)
+   - Click "Create new Space"
+   - Choose a name (e.g., `pdf-document-translator`)
+   - Select "Gradio" as the SDK
+   - Choose "Public" or "Private" visibility
+   - Click "Create Space"
+
+2. **Upload Files**
+   - Upload `app.py` (main application file)
+   - Upload `requirements.txt` (dependencies)
+   - Upload `README.md` (documentation)
+   - Upload `config.json` (space configuration)
+
+3. **Wait for Build**
+   - Hugging Face will automatically build your space
+   - Check the "Logs" tab for build progress
+   - Build typically takes 3-5 minutes
+
+4. **Access Your Space**
+   - Web interface: `https://huggingface.co/spaces/YOUR_USERNAME/pdf-document-translator`
+   - MCP endpoint: `https://YOUR_USERNAME-pdf-document-translator.hf.space/gradio_api/mcp/sse`
+
+### Method 2: Git Repository
+
+1. **Clone Your Space Repository**
+   ```bash
+   git clone https://huggingface.co/spaces/YOUR_USERNAME/pdf-document-translator
+   cd pdf-document-translator
+   ```
+
+2. **Add Your Files**
+   ```bash
+   cp /path/to/your/app.py .
+   cp /path/to/your/requirements.txt .
+   cp /path/to/your/README.md .
+   cp /path/to/your/config.json .
+   ```
+
+3. **Commit and Push**
+   ```bash
+   git add .
+   git commit -m "Initial deployment of PDF Document Translator MCP Server"
+   git push
+   ```
+
+## 🔧 Configuration Files
+
+### config.json (Space Configuration)
+```json
+{
+  "title": "PDF Document Translator MCP Server",
+  "emoji": "📄",
+  "colorFrom": "blue",
+  "colorTo": "green",
+  "sdk": "gradio",
+  "sdk_version": "4.44.0",
+  "app_file": "app.py",
+  "pinned": false,
+  "license": "mit"
+}
+```
+
+### requirements.txt (Dependencies)
+```
+gradio[mcp]>=4.0.0
+PyMuPDF>=1.23.0
+Pillow>=10.0.0
+transformers>=4.35.0
+torch>=2.0.0
+requests>=2.31.0
+accelerate>=0.24.0
+sentencepiece>=0.1.99
+protobuf>=4.24.0
+```
+
+## 🧪 Testing Your Deployment
+
+### 1. Web Interface Test
+- Visit your space URL
+- Upload a sample PDF
+- Select source and target languages
+- Verify translation results
+
+### 2. MCP Server Test
+- Check schema endpoint: `https://your-space.hf.space/gradio_api/mcp/schema`
+- Verify MCP endpoint: `https://your-space.hf.space/gradio_api/mcp/sse`
+
+### 3. Integration Test
+Configure in Claude Desktop:
+```json
+{
+  "mcpServers": {
+    "pdf-translator": {
+      "command": "npx",
+      "args": [
+        "mcp-remote",
+        "https://your-username-pdf-document-translator.hf.space/gradio_api/mcp/sse"
+      ]
+    }
+  }
+}
+```
+
+## 🐛 Troubleshooting
+
+### Common Issues
+
+1. **Build Failures**
+   - Check requirements.txt for version conflicts
+   - Verify all dependencies are available on PyPI
+   - Check logs tab for specific error messages
+
+2. **Memory Issues**
+   - Hugging Face Spaces have memory limits
+   - Consider using smaller models
+   - Optimize image processing parameters
+
+3. **Model Loading Errors**
+   - Some models may not be available
+   - Add fallback models in your code
+   - Check model compatibility with transformers version
+
+4. **MCP Connection Issues**
+   - Verify the MCP endpoint URL
+   - Check that `mcp_server=True` is set in launch()
+   - Test with curl or browser first
+
+### Debug Commands
+
+```bash
+# Test locally before deployment
+python app.py
+
+# Check requirements
+pip install -r requirements.txt
+
+# Test MCP schema
+curl https://your-space.hf.space/gradio_api/mcp/schema
+```
+
+## 🔒 Security Considerations
+
+1. **File Upload Limits**
+   - Set reasonable file size limits
+   - Validate file types
+   - Implement rate limiting if needed
+
+2. **Model Security**
+   - Use trusted model sources
+   - Consider model caching strategies
+   - Monitor resource usage
+
+3. **API Keys**
+   - Use Hugging Face Secrets for sensitive data
+   - Never commit API keys to repository
+   - Use environment variables
+
+## 📊 Monitoring and Maintenance
+
+### Performance Monitoring
+- Monitor space usage in Hugging Face dashboard
+- Check processing times for different document sizes
+- Monitor memory and CPU usage
+
+### Updates and Maintenance
+- Regularly update dependencies
+- Test with new model versions
+- Monitor for security updates
+
+### Scaling Considerations
+- For high traffic, consider Hugging Face Pro
+- Implement caching for frequently translated documents
+- Consider batch processing for multiple documents
+
+## 🌐 Alternative Deployment Options
+
+### 1. Docker Deployment
+```dockerfile
+FROM python:3.9-slim
+
+WORKDIR /app
+COPY requirements.txt .
+RUN pip install -r requirements.txt
+
+COPY . .
+EXPOSE 7860
+
+CMD ["python", "app.py"]
+```
+
+### 2. Cloud Platforms
+- **Google Cloud Run**: Serverless container deployment
+- **AWS Lambda**: Serverless function deployment
+- **Azure Container Instances**: Container deployment
+- **Railway**: Simple deployment platform
+
+### 3. Self-Hosted
+```bash
+# Install dependencies
+pip install -r requirements.txt
+
+# Run the server
+python app.py
+
+# Access at http://localhost:7860
+```
+
+## 📈 Performance Optimization
+
+### Model Optimization
+- Use quantized models for faster inference
+- Implement model caching
+- Consider GPU acceleration for large documents
+
+### Image Processing
+- Optimize PDF to image conversion settings
+- Implement image compression
+- Cache processed images
+
+### Translation Optimization
+- Batch translation requests
+- Use specialized translation models
+- Implement translation caching
+
+## 🎯 Next Steps
+
+After successful deployment:
+
+1. **Share Your Space**
+   - Add to Hugging Face community
+   - Share on social media
+   - Create demo videos
+
+2. **Gather Feedback**
+   - Monitor user interactions
+   - Collect feedback through issues
+   - Iterate based on usage patterns
+
+3. **Extend Functionality**
+   - Add more languages
+   - Support more document formats
+   - Implement advanced OCR features
+
+4. **Community Contribution**
+   - Open source your improvements
+   - Contribute to MCP ecosystem
+   - Help others with similar projects
+
+## 📞 Support
+
+If you encounter issues:
+- Check Hugging Face Spaces documentation
+- Visit the MCP course forums
+- Create issues in the project repository
+- Join the Gradio community Discord
+
+Happy deploying! 🚀
+