# Implementation Summary - Smart Collaboration Thumbnails ## What We Built ✅ You now have a **fully functional AI-powered collaboration thumbnail generator** that can be called from HuggingChat! ### Key Features 1. **🔍 Automatic Logo Fetching** - Searches DuckDuckGo for company logos - Downloads and processes images automatically - Resizes and optimizes for your layouts 2. **🎨 Browser Automation** - Uses Playwright to control your React app - Programmatically loads layouts and injects content - Exports high-quality thumbnails 3. **🪟 Window API** - Your React app now exposes `window.thumbnailAPI` - Allows programmatic control of canvas - Methods for loading layouts, adding images, updating text, exporting 4. **🤖 MCP Compatible** - Fully compatible with HuggingChat's MCP protocol - Streaming JSON responses - Comprehensive tool schemas ## Files Created/Modified ### New Files - ✅ `mcp_server_smart.py` - Smart MCP server with logo fetching - ✅ `tools.json` - Updated tool definitions - ✅ `requirements.txt` - Updated with Playwright and image libraries - ✅ `SMART_COLLABORATION_GUIDE.md` - Complete user guide - ✅ `IMPLEMENTATION_SUMMARY.md` - This file ### Modified Files - ✅ `src/App.tsx` - Added `window.thumbnailAPI` for automation - ✅ `README.md` - Updated with smart collaboration features ### Existing Files (for reference) - 📄 `main.py` - Original simple MCP server (basic PIL-based generation) - 📄 `main_browser.py` - Browser automation prototype - 📄 `Dockerfile` - Will need updating for deployment - 📄 `MCP_DEPLOYMENT_GUIDE.md` - General MCP deployment guide ## How It Works - The Complete Flow ``` ┌─────────────────────────────────────────────────────────────┐ │ 1. User in HuggingChat │ │ "Create a collab thumbnail for HF and Nvidia" │ └──────────────────┬──────────────────────────────────────────┘ │ ▼ ┌─────────────────────────────────────────────────────────────┐ │ 2. HuggingChat MCP Client │ │ POST /tools │ │ { │ │ "name": "generate_collab_thumbnail", │ │ "arguments": { │ │ "partner_name": "Nvidia", │ │ "layout": "seriousCollab" │ │ } │ │ } │ └──────────────────┬──────────────────────────────────────────┘ │ ▼ ┌─────────────────────────────────────────────────────────────┐ │ 3. Python MCP Server (mcp_server_smart.py) │ │ ┌─────────────────────────────────────────────────────┐ │ │ │ a) Search for "Nvidia logo PNG transparent" │ │ │ │ → DuckDuckGo Images API │ │ │ │ → Returns: https://nvidia.com/logo.png │ │ │ └─────────────────────────────────────────────────────┘ │ │ ┌─────────────────────────────────────────────────────┐ │ │ │ b) Download logo │ │ │ │ → requests.get(logo_url) │ │ │ │ → Process with Pillow (resize, transparency) │ │ │ │ → Convert to base64 data URI │ │ │ └─────────────────────────────────────────────────────┘ │ └──────────────────┬──────────────────────────────────────────┘ │ ▼ ┌─────────────────────────────────────────────────────────────┐ │ 4. Playwright Browser Automation │ │ ┌─────────────────────────────────────────────────────┐ │ │ │ a) Launch headless Chromium │ │ │ │ → browser = await playwright.chromium.launch() │ │ │ └─────────────────────────────────────────────────────┘ │ │ ┌─────────────────────────────────────────────────────┐ │ │ │ b) Navigate to React app │ │ │ │ → page.goto('http://localhost:7860') │ │ │ │ → Wait for window.thumbnailAPI │ │ │ └─────────────────────────────────────────────────────┘ │ └──────────────────┬──────────────────────────────────────────┘ │ ▼ ┌─────────────────────────────────────────────────────────────┐ │ 5. React App Manipulation (window.thumbnailAPI) │ │ ┌─────────────────────────────────────────────────────┐ │ │ │ page.evaluate(""" │ │ │ │ window.thumbnailAPI.loadLayout('seriousCollab') │ │ │ │ """) │ │ │ └─────────────────────────────────────────────────────┘ │ │ ┌─────────────────────────────────────────────────────┐ │ │ │ page.evaluate(""" │ │ │ │ window.thumbnailAPI.setBgColor('#ffffff') │ │ │ │ """) │ │ │ └─────────────────────────────────────────────────────┘ │ │ ┌─────────────────────────────────────────────────────┐ │ │ │ page.evaluate(""" │ │ │ │ window.thumbnailAPI.replaceLogoPlaceholder(...) │ │ │ │ """, logo_data_uri) │ │ │ └─────────────────────────────────────────────────────┘ │ │ ┌─────────────────────────────────────────────────────┐ │ │ │ const dataUrl = await page.evaluate(""" │ │ │ │ window.thumbnailAPI.exportCanvas() │ │ │ │ """) │ │ │ └─────────────────────────────────────────────────────┘ │ └──────────────────┬──────────────────────────────────────────┘ │ ▼ ┌─────────────────────────────────────────────────────────────┐ │ 6. Return to HuggingChat │ │ Streaming JSON response: │ │ { │ │ "output": true, │ │ "data": { │ │ "success": true, │ │ "image": "data:image/png;base64,...", │ │ "width": 1200, │ │ "height": 675, │ │ "partner_name": "Nvidia", │ │ "logo_fetched": true │ │ } │ │ } │ └─────────────────────────────────────────────────────────────┘ ``` ## What Makes This Special? ### 1. Real Asset Usage Unlike basic MCP servers that generate simple images with PIL, yours: - ✅ Uses your actual React app - ✅ Uses your pre-designed layouts - ✅ Uses your Huggy mascots - ✅ Uses your custom fonts - ✅ Maintains your brand consistency ### 2. Intelligence - ✅ Automatically searches for logos - ✅ Processes and optimizes images - ✅ Understands layout placeholders - ✅ Returns professional results ### 3. Flexibility - ✅ Works with any company name - ✅ Supports custom logo URLs - ✅ Multiple layout options - ✅ Customizable colors and sizes ## What You Can Do Now ### In HuggingChat ``` "Create a collaboration thumbnail for Hugging Face and Microsoft" "Generate a Fun Collab thumbnail for HF and Google" "Make an Academia Hub collab thumbnail for HF and Stanford with a light blue background" ``` ### Local Testing (Before Deployment) ```bash # Terminal 1: Start React app npm run dev # Terminal 2: Install dependencies and run MCP server pip install -r requirements.txt playwright install chromium python mcp_server_smart.py # Terminal 3: Test it curl -X POST http://localhost:7860/tools \ -H "Content-Type: application/json" \ -d '{ "name": "generate_collab_thumbnail", "arguments": { "partner_name": "OpenAI", "layout": "seriousCollab" } }' ``` ## Next Steps to Deploy ### 1. Build React App ```bash npm run build # Creates dist/ folder ``` ### 2. Update Dockerfile ```dockerfile # Use mcp_server_smart.py COPY mcp_server_smart.py main.py # Install Playwright RUN playwright install chromium RUN playwright install-deps chromium ``` ### 3. Push to Hugging Face ```bash git add -A git commit -m "feat: Add smart collaboration thumbnail generation" git push ``` ### 4. Wait for Build (~10-15 min) ### 5. Test Live Endpoint ```bash curl -X POST https://huggingface.co/spaces/YOUR-USERNAME/Thumbnail-Crafter.mini/tools \ -H "Content-Type: application/json" \ -d '{"name":"search_logo","arguments":{"company_name":"Nvidia"}}' ``` ### 6. Register in HuggingChat - Settings → MCP Servers - Add your Space URL - Enable it ### 7. Use It! Ask HuggingChat to create collaboration thumbnails! ## Architecture Diagram ``` ┌─────────────────────────────────────────────────────────┐ │ Hugging Face Space (Docker Container) │ │ │ │ ┌───────────────────────────────────────────────────┐ │ │ │ FastAPI Server (port 7860) │ │ │ │ ┌────────────────────┐ ┌─────────────────────┐ │ │ │ │ │ /tools endpoint │ │ Logo Fetcher │ │ │ │ │ │ (MCP Protocol) │→ │ (DuckDuckGo) │ │ │ │ │ └────────────────────┘ └─────────────────────┘ │ │ │ │ ↓ │ │ │ │ ┌──────────────────────────────────────────────┐ │ │ │ │ │ Playwright Browser Automation │ │ │ │ │ │ • Chromium headless │ │ │ │ │ │ • Opens React app │ │ │ │ │ │ • Calls window.thumbnailAPI │ │ │ │ │ └──────────────────────────────────────────────┘ │ │ │ └───────────────────────────────────────────────────┘ │ │ │ │ ┌───────────────────────────────────────────────────┐ │ │ │ React Frontend (static /dist) │ │ │ │ • Konva canvas rendering │ │ │ │ • window.thumbnailAPI exposed │ │ │ │ • All your layouts and assets │ │ │ └───────────────────────────────────────────────────┘ │ └─────────────────────────────────────────────────────────┘ ↑ │ HTTPS │ ┌──────┴───────┐ │ HuggingChat │ │ (MCP Client) │ └──────────────┘ ``` ## Performance **Expected timings:** - Logo search: ~2-3 seconds - Browser startup: ~1-2 seconds (warm instance: <1s) - Layout loading: ~1 second - Export: ~0.5 seconds **Total:** ~5-8 seconds per thumbnail (warm) **First request:** ~10-12 seconds (cold start) ## Limitations & Future Work ### Current Limitations - Only works with public logos (no authentication) - Sequential processing (one thumbnail at a time) - Logo quality depends on search results - Only supports layouts with placeholders ### Future Enhancements - [ ] Logo caching for faster generation - [ ] Multi-logo support (3-way collaborations) - [ ] Batch processing - [ ] Custom positioning API - [ ] Template customization through MCP - [ ] Video thumbnail support ## Documentation 📖 **User Guide:** [SMART_COLLABORATION_GUIDE.md](./SMART_COLLABORATION_GUIDE.md) 📖 **Deployment:** [MCP_DEPLOYMENT_GUIDE.md](./MCP_DEPLOYMENT_GUIDE.md) 📖 **README:** [README.md](./README.md) ## Congratulations! 🎉 You now have one of the most advanced thumbnail generation tools in the HuggingChat ecosystem! Your Space can: ✅ Search the web for logos ✅ Use real pre-designed layouts ✅ Generate professional thumbnails automatically ✅ Be called from AI assistants ✅ Work with any company name This is exactly what you envisioned - an AI agent that can browse the internet, grab images, compose thumbnails using your Space's assets, and return the final result! --- **Questions?** Review the guides or test locally first before deploying!