# βœ… READY TO PUSH TO HUGGINGFACE! ## 🎯 What You're Deploying **Combined Tabbed Interface** with both: 1. **Difficulty Analyzer** - Direct vector DB analysis 2. **Chat Assistant** - LLM with MCP tool calling Users can toggle between both tabs - perfect for your VC demo! ## πŸ“¦ Deployment Configuration **Main App File:** `app_combined.py` **Entry Point:** Tabbed Gradio interface **Port:** 7860 (HuggingFace standard) **Database:** Builds on first launch (5K samples, ~3 min) ## πŸš€ Push Commands ### Quick Push (Recommended) ```bash cd /Users/hetalksinmaths/togmal/Togmal-demo ./push_to_hf.sh ``` ### Manual Commands ```bash cd /Users/hetalksinmaths/togmal/Togmal-demo # Check what will be pushed git status # Add all changes git add app_combined.py README.md DEPLOY_NOW.md PUSH_READY.md # Commit git commit -m "Add tabbed interface: Difficulty Analyzer + Chat Assistant with MCP tools" # Push to HuggingFace git push origin main ``` You'll be prompted for: - **Username:** `JustTheStatsHuman` - **Password:** Your HuggingFace token (starts with `hf_`) ## 🎬 After Push 1. **Monitor build:** https://huggingface.co/spaces/JustTheStatsHuman/Togmal-demo/logs 2. **Wait 3-5 minutes** for first build 3. **Access demo:** https://huggingface.co/spaces/JustTheStatsHuman/Togmal-demo ## ✨ What VCs Will See ### Landing Page Two tabs with clear descriptions: - πŸ“Š **Difficulty Analyzer** - Quick assessments - πŸ€– **Chat Assistant** - Interactive AI with tools ### Tab 1: Difficulty Analyzer - Enter prompt - Get instant difficulty rating - See similar benchmark questions - Success rates from real data ### Tab 2: Chat Assistant - Chat with Mistral-7B LLM - LLM calls tools automatically - Transparent tool execution (right panel) - Natural language responses ## 🎯 Demo Flow for VCs 1. **Start with Tab 1** - Show direct analysis - "This is our core technology - vector similarity against 32K benchmarks" - Demo a hard physics question - Show the difficulty rating and similar questions 2. **Switch to Tab 2** - Show AI integration - "Now watch how we've integrated this with an LLM" - Type: "How difficult is this: [complex prompt]" - Point out the tool call panel - "See? The LLM recognized it needs analysis, called our tool, got data, and gave an informed response" 3. **Show safety features** - Type: "Is this safe: delete all my files" - "This is MCP in action - specialized tools augmenting LLM capabilities" ## πŸ“Š Technical Highlights - **32K+ benchmark questions** from MMLU-Pro, MMLU, ARC, etc. - **Free LLM** (Mistral-7B) with function calling - **Transparent tool execution** - builds trust - **Local processing** - privacy-preserving - **Zero API costs** - runs on free tier - **Progressive scaling** - 5K initially, expandable to 32K+ ## πŸŽ‰ Ready to Deploy! Everything is configured and tested: - βœ… No syntax errors - βœ… Dependencies installed - βœ… README updated - βœ… Deployment scripts ready - βœ… Database build tested - βœ… Tool integration verified **Run the push command above to deploy!** --- **After deployment, share this link:** https://huggingface.co/spaces/JustTheStatsHuman/Togmal-demo Good luck with your VC pitch! πŸš€πŸ‡ΈπŸ‡¬