# 🚀 Quick Deploy to Hugging Face Spaces

## Prerequisites
- Python 3.8+
- Git installed
- Hugging Face account

## Step 1: Setup
```bash
# Install requirements
pip install -r requirements.txt

# Run setup script
python setup_hf_space.py
```

## Step 2: Deploy
```bash
# Option A: Automated deployment
python deploy_final.py

# Option B: Manual deployment
huggingface-cli login
huggingface-cli repo create textilindo-ai-assistant --type space --sdk gradio
```

## Step 3: Manual Upload (if automated fails)
1. Go to https://huggingface.co/spaces/[your-username]/textilindo-ai-assistant
2. Upload these files:
   - `app.py`
   - `requirements.txt`
   - `README.md`
   - `configs/system_prompt.md`
   - `data/textilindo_training_data.jsonl`

## Step 4: Test
- Wait for build to complete (2-5 minutes)
- Test your application
- Share the link!

## Files Structure
```
textilindo-ai-assistant/
├── app.py                    # Main Gradio application
├── requirements.txt          # Dependencies
├── README.md                 # Space configuration
├── configs/
│   └── system_prompt.md     # System prompt
└── data/
    └── textilindo_training_data.jsonl
```

## Troubleshooting
- **Build fails**: Check requirements.txt versions
- **App doesn't start**: Check app.py for errors
- **Data not loading**: Verify data files are uploaded
- **Memory issues**: Use smaller dataset or optimize code

## Support
Check the DEPLOYMENT_GUIDE.md for detailed instructions.