DEPLOYMENT.md

# 🚀 Deploy to Hugging Face Spaces

## Target URL: https://huggingface.co/spaces/rishirajpathak/task-management

## Quick Deployment Steps

1. **Go to**: https://huggingface.co/new-space
2. **Space name**: `task-management` 
3. **Owner**: `rishirajpathak`
4. **License**: MIT
5. **SDK**: Gradio
6. **Hardware**: CPU (free tier)

## Files to Upload (All Required)

Upload these files from your D:\Task Management folder:

### ✅ Core System
- `app.py` - Main Gradio interface
- `assignment_engine.py` - AI engine
- `task_manager.py` - System controller
- `requirements.txt` - Dependencies  

### ✅ Data Files
- `users.csv` - Team members
- `tasks.csv` - Task definitions  
- `results.csv` - Completion history
- `task_progress.json` - Progress tracking

### ✅ Documentation
- `README.md` - Space description
- `.gitignore` - Git ignore rules

## ⚠️ DO NOT Upload
- `.venv/` folder (virtual environment)
- `assignment_model.pkl` (will be auto-generated)
- Any `__pycache__/` folders

## After Upload
1. Space will auto-build from requirements.txt
2. App will be available at: https://huggingface.co/spaces/rishirajpathak/task-management
3. First run will create the AI model automatically

## Testing the Deployed App
1. Add users and tasks
2. Get AI assignments  
3. Update progress
4. Complete tasks
5. Retrain AI - system improves!