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TROUBLESHOOTING_QUICK_REFERENCE.md
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| 1 |
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# TRIQA Hugging Face Demo - Quick Troubleshooting Reference
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## π¨ Common Errors & Quick Fixes
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### 1. Short Description Too Long
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**Error**: `"short_description" length must be less than or equal to 60 characters long`
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**Quick Fix**:
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```yaml
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# In README.md
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short_description: TRIQA-IQA # 9 characters
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```
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### 2. Missing timm Module
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**Error**: `ModuleNotFoundError: No module named 'timm'`
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**Quick Fix**:
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```txt
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# Add to requirements.txt
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timm>=0.6.0
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```
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### 3. Model Files Not Found
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**Error**: `FileNotFoundError: [Errno 2] No such file or directory: 'feature_models/...'`
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**Quick Fix**:
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1. Download from Box: https://utexas.box.com/s/8aw6axc2lofouja65uc726lca8b1cduf
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2. Create directories: `feature_models/` and `Regression_Models/`
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3. Upload model files to correct locations
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### 4. Build Failures
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**Error**: Various build errors
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**Quick Fix**:
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1. Check space logs
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2. Verify all dependencies in requirements.txt
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3. Test locally: `python app.py`
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## π Essential Files Checklist
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### Required Files:
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- [ ] `app.py` - Main application
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- [ ] `README.md` - Space description
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- [ ] `requirements.txt` - Dependencies
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- [ ] `package.json` - Node.js config
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- [ ] `convnext_original.py` - Model architecture
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- [ ] `convnext_finetune.py` - Model architecture
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- [ ] `sample_image/` - Sample images
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### Model Files (Download from Box):
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- [ ] `feature_models/convnext_tiny_22k_224.pth` (170MB)
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- [ ] `feature_models/triqa_quality_aware.pth` (107MB)
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- [ ] `Regression_Models/KonIQ_scaler.save`
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- [ ] `Regression_Models/KonIQ_TRIQA.save` (111MB)
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## π§ Quick Commands
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### Upload Files:
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```bash
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# Python CLI
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python upload_to_space.py
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# Git method
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git clone https://huggingface.co/spaces/your-username/triqa-iqa
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cd triqa-iqa
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cp ../huggingface_demo/* .
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git add . && git commit -m "Add TRIQA demo" && git push
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```
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### Test Locally:
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```bash
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# Test file structure
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python test_demo.py
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# Test app
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python app.py
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```
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### Update Single File:
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```bash
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python -c "from huggingface_hub import HfApi; api = HfApi(); api.upload_file(path_or_fileobj='filename', path_in_repo='filename', repo_id='S-Rajesh/triqa-iqa', repo_type='space')"
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```
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## π Requirements.txt Template
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```txt
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gradio>=4.0.0
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torch>=1.8.0
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torchvision>=0.9.0
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timm>=0.6.0
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pillow>=8.0.0
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numpy>=1.19.0
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scikit-learn>=0.24.0
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```
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## π― README.md Metadata Template
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```yaml
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---
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title: TRIQA Image Quality Assessment
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emoji: πΌοΈ
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colorFrom: blue
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colorTo: purple
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sdk: gradio
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sdk_version: 4.0.0
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app_file: app.py
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pinned: false
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license: mit
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short_description: TRIQA-IQA
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---
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```
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## π Space URL Format
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```
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https://huggingface.co/spaces/USERNAME/SPACE-NAME
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```
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Example: `https://huggingface.co/spaces/S-Rajesh/triqa-iqa`
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## β‘ Quick Debug Steps
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1. **Check build logs** in your space
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2. **Verify file paths** are correct
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3. **Test locally** before uploading
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4. **Check dependencies** in requirements.txt
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5. **Verify model files** are uploaded
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## π Quick Links
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- **Space**: https://huggingface.co/spaces/S-Rajesh/triqa-iqa
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- **Box Download**: https://utexas.box.com/s/8aw6axc2lofouja65uc726lca8b1cduf
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| 133 |
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- **GitHub**: https://github.com/rajeshsureddi/triqa
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- **Paper**: https://arxiv.org/pdf/2507.12687
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## β
Success Indicators
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| 137 |
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| 138 |
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- [ ] Space builds without errors
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| 139 |
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- [ ] Demo interface loads
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| 140 |
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- [ ] Sample images display
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- [ ] Quality prediction works
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| 142 |
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- [ ] Paper links are accessible
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| 143 |
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---
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**Remember**: Most issues are solved by checking the build logs and ensuring all dependencies are properly listed in requirements.txt! π―
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