WritingStudio / HF_SPACES_README.txt
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AI WRITING STUDIO - HUGGINGFACE SPACES READY
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Your application is now fully configured for HuggingFace Spaces deployment!
QUICK START FOR HF SPACES
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METHOD 1: Direct Upload (Easiest)
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1. Go to: https://huggingface.co/new-space
2. Create a Space (choose Gradio SDK)
3. Upload these files:
- app.py
- requirements.txt
- src/ (entire folder)
- .space_config.yml (optional)
- README_HF_SPACES.md → rename to README.md
4. Wait for build (~5 min)
5. Your app is live!
METHOD 2: Git (For Updates)
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1. Create Space on HuggingFace
2. Clone: git clone https://huggingface.co/spaces/YOUR_USERNAME/YOUR_SPACE
3. Copy files to cloned directory
4. git add . && git commit -m "Deploy" && git push
5. Monitor build in Logs tab
WHAT WAS ADDED FOR HF SPACES
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✓ app.py - HF Spaces entry point (241 lines)
✓ Updated requirements.txt - HF Spaces compatible deps
✓ .space_config.yml - HF Spaces configuration
✓ README_HF_SPACES.md - User documentation for Spaces
✓ Config updates - Works without .env file
✓ HF_SPACES_CHECKLIST.md - Deployment checklist
✓ docs/HUGGINGFACE_SPACES.md - Complete deployment guide
KEY FEATURES FOR HF SPACES
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✓ Zero configuration needed - Works out of the box
✓ No .env file required - Sensible defaults
✓ Metrics disabled by default - Not needed on HF Spaces
✓ Text logging - Easier to read in HF Spaces
✓ Fallback mode - Graceful degradation if imports fail
✓ Production features - All rubric scoring works
✓ Caching enabled - Fast repeated analyses
✓ Error handling - User-friendly error messages
TESTING LOCALLY (BEFORE HF SPACES)
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# Install dependencies
pip install -r requirements.txt
# Run the app
python app.py
# Visit http://localhost:7860
# Test with sample text:
"The quick brown fox jumps over the lazy dog. This text demonstrates
good clarity and conciseness while maintaining proper organization."
FILES REQUIRED FOR HF SPACES
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ESSENTIAL (Must upload):
✓ app.py
✓ requirements.txt
✓ src/writing_studio/ (entire directory with all subdirectories)
RECOMMENDED:
✓ .space_config.yml
✓ README_HF_SPACES.md (rename to README.md)
OPTIONAL:
- LICENSE
- configs/ (not needed on HF Spaces)
- docs/ (helpful for links)
HARDWARE RECOMMENDATIONS
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FREE TIER (CPU Basic):
- Works with distilgpt2 (default)
- First load: 30-60 seconds
- Subsequent: 5-10 seconds
- Perfect for demos and testing
CPU UPGRADE ($0.10/hr):
- Better for gpt2
- Faster processing
- More memory
T4 GPU ($0.60/hr):
- Best performance
- Large models (gpt2-medium, gpt2-large)
- 2-3 second analyses
CONFIGURATION OPTIONS
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Default settings (no changes needed):
- Model: distilgpt2
- Caching: Enabled
- Metrics: Disabled (for HF Spaces)
- Log Format: Text
- Environment: Production
To customize, add in .space_config.yml:
```
env:
DEFAULT_MODEL: gpt2
MAX_TEXT_LENGTH: "5000"
LOG_LEVEL: INFO
```
Or set in HF Spaces Settings → Variables
TROUBLESHOOTING
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Build fails?
→ Check requirements.txt syntax
→ Ensure all src/ files uploaded
→ Review Logs tab
Out of memory?
→ Use distilgpt2 (smaller model)
→ Upgrade hardware tier
→ Reduce CACHE_MAX_SIZE
Slow performance?
→ First load is always slow (normal)
→ Use distilgpt2 for speed
→ Enable caching (default)
→ Upgrade hardware
Model not found?
→ Check spelling (distilgpt2)
→ Use default model
→ Check HuggingFace Hub
DOCUMENTATION
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📄 HF_SPACES_CHECKLIST.md - Quick deployment checklist
📄 docs/HUGGINGFACE_SPACES.md - Complete guide (523 lines)
📄 README_HF_SPACES.md - For users of your Space
📄 README.md - Full project documentation
📄 docs/USER_GUIDE.md - How to use the app
📄 docs/ARCHITECTURE.md - Technical details
SUPPORT
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Need help?
- Full guide: docs/HUGGINGFACE_SPACES.md
- Checklist: HF_SPACES_CHECKLIST.md
- GitHub: https://github.com/yourusername/writing-studio
- HF Forums: https://discuss.huggingface.co/
WHAT'S DIFFERENT FROM SELF-HOSTED
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HuggingFace Spaces:
✓ No Docker needed
✓ No server setup
✓ Free tier available
✓ Auto-scaling
✓ SSL included
✓ 5 min deployment
✓ Automatic updates
Self-Hosted:
✓ Full control
✓ Custom domains
✓ Private data
✓ Monitoring stack
✓ Multiple instances
Both options fully supported!
NEXT STEPS
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1. Review HF_SPACES_CHECKLIST.md
2. Test locally: python app.py
3. Create HuggingFace Space
4. Upload files (or git push)
5. Wait for build
6. Test your Space
7. Share with the world!
ESTIMATED TIME
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- First-time setup: 10-15 minutes
- Subsequent deploys: 2-3 minutes
- Build time: 3-5 minutes
Total: ~20 minutes from zero to live app!
SUCCESS!
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Your AI Writing Studio is ready for HuggingFace Spaces!
All production features included:
✓ Real rubric scoring (not mocked!)
✓ 5 specialized prompt packs
✓ Visual diff highlighting
✓ Comprehensive error handling
✓ Input validation
✓ Caching for performance
✓ Structured logging
Good luck with your deployment! 🚀
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