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# 🚀 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. 🚀
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