HUGGINGFACE_DEPLOYMENT.md

# 🚀 HuggingFace Space Deployment Guide

## Status: Ready to Push

Your ToGMAL Prompt Difficulty Analyzer is set up and ready to deploy to HuggingFace Spaces!

## What's Been Done

✅ **Repository Cloned**: `Togmal-demo` from HuggingFace Spaces
✅ **Files Copied**:
- `app.py` - Main Gradio demo application
- `benchmark_vector_db.py` - Vector database implementation
- `data/` - Complete vector database with 14,042 benchmark questions
- `requirements.txt` - All necessary dependencies

✅ **README Updated**: Professional description with features and usage
✅ **Changes Committed**: All files staged and committed

## 📝 Next Step: Push to HuggingFace

The code is committed and ready. To push, run:

```bash
cd /Users/hetalksinmaths/togmal/Togmal-demo
git push -u origin main
```

**You'll be prompted for credentials:**
- Username: `JustTheStatsHuman`
- Password: Use your **HuggingFace Access Token** (not your account password!)

### Generate Access Token

If you don't have a token yet:
1. Go to: https://huggingface.co/settings/tokens
2. Click "New token"
3. Give it **write** permissions
4. Copy the token
5. Paste it when git asks for password

## 🎯 What Will Happen After Push

1. HuggingFace will automatically detect `requirements.txt`
2. Install all dependencies (gradio, sentence-transformers, chromadb, etc.)
3. Start the Gradio app from `app.py`
4. Your space will be live at: https://huggingface.co/spaces/JustTheStatsHuman/Togmal-demo

## 📦 Files Included

```
Togmal-demo/
├── app.py                          # Main Gradio interface
├── benchmark_vector_db.py          # Vector database class
├── requirements.txt                # Python dependencies
├── README.md                       # HuggingFace Space description
└── data/
    ├── benchmark_vector_db/        # ChromaDB persistent storage (14,042 questions)
    └── benchmark_results/          # Real benchmark success rates
```

## 🔧 Features in Your Space

- **Real-time Analysis**: Users can enter any prompt
- **Vector Similarity Search**: Finds 5 most similar benchmark questions
- **Success Rate Prediction**: Shows how well LLMs perform on similar questions
- **Risk Assessment**: LOW/MODERATE/HIGH/CRITICAL difficulty levels
- **Smart Recommendations**: Actionable suggestions based on difficulty
- **Example Prompts**: Pre-loaded examples to try

## 🎨 Space Configuration

From `README.md` frontmatter:
- **SDK**: Gradio 5.42.0
- **Emoji**: 🧠
- **Color**: Yellow to Purple gradient
- **License**: Apache 2.0
- **Description**: Prompt difficulty predictor using vector similarity

## 🐛 Troubleshooting

If the space fails to build:

1. **Check Build Logs**: HuggingFace will show detailed error logs
2. **Common Issues**:
   - Large file size: The vector DB is ~10MB, should be fine
   - Missing dependencies: All listed in requirements.txt
   - Python version: HuggingFace uses Python 3.10+ by default

3. **Test Locally First**:
   ```bash
   cd /Users/hetalksinmaths/togmal/Togmal-demo
   source ../.venv/bin/activate
   python app.py
   ```

## 📊 Database Stats

Your space includes:
- **Total Questions**: 14,042 benchmark questions
- **Sources**: MMLU (13,900), MMLU-Pro (100), GPQA (36), MATH (6)
- **Domains**: 57 different domains (mathematics, physics, medicine, law, etc.)
- **Success Rates**: Real performance data from Claude, GPT-4, Gemini

## 🔗 Related Links

- **Your Space**: https://huggingface.co/spaces/JustTheStatsHuman/Togmal-demo
- **GitHub Repo**: https://github.com/HeTalksInMaths/togmal-mcp
- **Token Settings**: https://huggingface.co/settings/tokens

---

**Ready to deploy!** Just run the push command and enter your access token when prompted. 🚀