# Upload Instructions for Hugging Face Space

## Files to Upload

Upload these files to your Hugging Face Space (in this order):

### 1. Core Application Files
- `app.py` - Main Gradio application
- `README.md` - Space description
- `requirements.txt` - Python dependencies
- `package.json` - Node.js configuration

### 2. Model Architecture Files
- `convnext_original.py` - Original ConvNeXt model
- `convnext_finetune.py` - Fine-tuned ConvNeXt model

### 3. Sample Images
- Upload the entire `sample_image/` folder with all images

### 4. Model Weights (Download from Box first)
**IMPORTANT**: Download these files from Box first: https://utexas.box.com/s/8aw6axc2lofouja65uc726lca8b1cduf

Then create these directories and upload:
- `feature_models/convnext_tiny_22k_224.pth` (170MB)
- `feature_models/triqa_quality_aware.pth` (107MB)
- `Regression_Models/KonIQ_scaler.save`
- `Regression_Models/KonIQ_TRIQA.save` (111MB)

## Upload Steps

1. **Create the Space** on Hugging Face
2. **Upload files** using the web interface or Git
3. **Wait for build** (2-5 minutes)
4. **Test the demo** with sample images

## Expected Result

The demo will show:
- Image upload interface
- Quality assessment button
- Sample images for testing
- Quality score output (1-5 scale)
- Paper links and citation

## Troubleshooting

If the demo doesn't work:
1. Check that all model files are uploaded
2. Verify file paths are correct
3. Check the Space logs for errors
4. Ensure all dependencies are in requirements.txt