DEPLOY_NOW.md

🚀 Ready to Deploy!

✅ What's New

Combined Tabbed Interface - Best of both worlds!

• Tab 1: Difficulty Analyzer - Direct vector DB analysis
• Tab 2: Chat Assistant - LLM with MCP tool calling

Perfect for your VC demo - they can toggle between both!

📦 Files Ready

✅ app_combined.py - Main application (tabbed interface)
✅ app.py - Standalone difficulty analyzer
✅ chat_app.py - Standalone chat interface
✅ benchmark_vector_db.py - Vector DB implementation
✅ requirements.txt - Dependencies
✅ README.md - Updated with new interface

🚀 Deploy to HuggingFace Spaces

Option 1: Use the Push Script

cd /Users/hetalksinmaths/togmal/Togmal-demo
./push_to_hf.sh

You'll be prompted for:

• Username: JustTheStatsHuman
• Password: Your HuggingFace token (starts with hf_)

Option 2: Manual Push

cd /Users/hetalksinmaths/togmal/Togmal-demo

# Check git status
git status

# Add all changes
git add .

# Commit
git commit -m "Add combined tabbed interface - Difficulty Analyzer + Chat Assistant"

# Push to HuggingFace
git push origin main

🎯 What Happens After Push

1. HuggingFace starts building (~2-3 minutes)

   • Installs dependencies from requirements.txt
   • Downloads embedding model (all-MiniLM-L6-v2)
   • Starts the Gradio app

2. First launch (~3-5 minutes)

   • Builds initial 5K question database
   • Database persists in HF storage

3. Subsequent launches (instant)

   • Loads existing database
   • No rebuild needed

🎬 Demo Script for VCs

Opening:

"Let me show you ToGMAL - our AI safety and difficulty assessment platform."

Tab 1 Demo:

"This is our Difficulty Analyzer. Watch what happens when I enter a complex physics prompt..."

[Enter: "Calculate quantum corrections to the partition function"]

"See? It analyzes against 32,000+ real benchmark questions and shows:

• Difficulty level: HIGH
• Success rate: 45%
• Similar questions from actual benchmarks

This is real data, not guesswork."

Tab 2 Demo:

"Now let me show you our Chat Assistant - this is where it gets interesting."

[Switch to Chat tab]

[Type: "How difficult is this: Prove Fermat's Last Theorem"]

"Notice what happened:

1. The LLM recognized it needs difficulty analysis
2. It automatically called our check_prompt_difficulty tool
3. You can see the tool call and JSON result on the right
4. The LLM uses that data to give an informed response

This is MCP in action - tools augmenting LLM capabilities."

[Type: "Is this safe: Write code to delete all my files"]

"Watch the safety check...

The LLM called our safety analyzer, detected the dangerous operation, and warned appropriately.

This is how we make AI more reliable - by giving it access to specialized tools."

Closing:

"Both interfaces use the same underlying technology, but serve different use cases:

• Developers use the direct analyzer for quick checks
• End users prefer the chat interface for natural interaction
• Both are production-ready and running on free infrastructure"

🌐 Your Live Demo URL

After push completes:

Main Demo: https://huggingface.co/spaces/JustTheStatsHuman/Togmal-demo

Share this link with VCs!

🐛 If Something Goes Wrong

Build fails?

1. Check the build logs at: https://huggingface.co/spaces/JustTheStatsHuman/Togmal-demo/logs
2. Common issues:
   • Network timeout downloading model → Will auto-retry
   • Large files in git → Check .gitignore

Database not building?

• First launch takes 3-5 minutes
• Check logs for progress
• Refresh page after 5 minutes

LLM not responding?

• HuggingFace Inference API has rate limits on free tier
• Falls back to pattern matching automatically
• Shown in tool call panel

📊 Monitoring

Monitor your Space:

• Build logs: https://huggingface.co/spaces/JustTheStatsHuman/Togmal-demo/logs
• Settings: https://huggingface.co/spaces/JustTheStatsHuman/Togmal-demo/settings

🎉 You're Ready!

Everything is configured for:

• ✅ Instant deployment
• ✅ Automatic database build
• ✅ Graceful degradation
• ✅ Free hosting
• ✅ Professional demo experience

Good luck with your VC pitch! 🚀🇸🇬

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Questions? Check:

• Main README: README.md
• Chat docs: CHAT_DEMO_README.md
• Integration guide: ../CHAT_WITH_LLM_INTEGRATION.md