Spaces:
Sleeping
Sleeping
A newer version of the Gradio SDK is available:
5.49.1
β READY TO PUSH TO HUGGINGFACE!
π― What You're Deploying
Combined Tabbed Interface with both:
- Difficulty Analyzer - Direct vector DB analysis
- Chat Assistant - LLM with MCP tool calling
Users can toggle between both tabs - perfect for your VC demo!
π¦ 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)
π Push Commands
Quick Push (Recommended)
cd /Users/hetalksinmaths/togmal/Togmal-demo
./push_to_hf.sh
Manual Commands
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_)
π¬ After Push
- Monitor build: https://huggingface.co/spaces/JustTheStatsHuman/Togmal-demo/logs
- Wait 3-5 minutes for first build
- Access demo: https://huggingface.co/spaces/JustTheStatsHuman/Togmal-demo
β¨ What VCs Will See
Landing Page
Two tabs with clear descriptions:
- π Difficulty Analyzer - Quick assessments
- π€ 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
π― Demo Flow for VCs
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
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"
Show safety features
- Type: "Is this safe: delete all my files"
- "This is MCP in action - specialized tools augmenting LLM capabilities"
π 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+
π Ready to Deploy!
Everything is configured and tested:
- β No syntax errors
- β Dependencies installed
- β README updated
- β Deployment scripts ready
- β Database build tested
- β 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! ππΈπ¬