HF_SPACES_CHECKLIST.md

HuggingFace Spaces Deployment Checklist

Quick checklist for deploying Writing Studio to HuggingFace Spaces.

Pre-Deployment

• HuggingFace account created
• Reviewed HF Spaces documentation
• Decided on Space name
• Chosen visibility (Public or Private)

Required Files

Ensure these files are ready to upload:

• app.py - HF Spaces entry point
• requirements.txt - Python dependencies
• src/writing_studio/ - Complete source directory
  • core/ - Core modules
  • services/ - Service layer
  • utils/ - Utilities

Optional Files

Recommended for better UX:

• README_HF_SPACES.md - User documentation with YAML config (rename to README.md)
• LICENSE - License file

Configuration

• Review default settings in app.py
• Choose model (default: distilgpt2)
• Set hardware tier (default: CPU Basic - Free)
• Configure environment variables (if needed)

Recommended Settings for Free Tier

The README_HF_SPACES.md file includes optimized settings:

---
sdk: gradio
sdk_version: 4.0.0
app_file: app.py
suggested_hardware: cpu-basic
suggested_storage: small
---

For environment variables (optional), add in Space Settings:

DEFAULT_MODEL=distilgpt2
ENABLE_CACHE=true

Deployment Steps

Method 1: Direct Upload

• Go to huggingface.co/new-space
• Fill in Space details:
  • Space name
  • License: MIT
  • SDK: Gradio
  • Visibility: Public/Private
• Click "Create Space"
• Upload files:
  • app.py
  • requirements.txt
  • src/ folder (entire directory)
  • .space_config.yml
  • README.md (from README_HF_SPACES.md)
• Wait for build to complete
• Test the Space

Method 2: Git Clone

• Create Space on HuggingFace
• Clone repository:

  git clone https://huggingface.co/spaces/USERNAME/SPACE_NAME
  

• Copy files to repository
• Commit and push:

  git add .
  git commit -m "Initial deployment"
  git push
  

• Monitor build in Logs tab
• Test the Space

Post-Deployment Testing

• Space builds successfully
• App loads without errors
• Model loads correctly
• Test with sample text:

  The quick brown fox jumps over the lazy dog. This is a sample
  text to test the writing analysis features.
  

• Check all prompt packs work:
  • General
  • Literature
  • Tech Comm
  • Academic
  • Creative
• Verify rubric scoring displays:
  • Clarity score
  • Conciseness score
  • Organization score
  • Evidence score
  • Grammar score
• Check diff highlighting works
• Test error handling (submit empty text)
• Verify caching (same input twice should be instant)

Performance Testing

• First load time acceptable (~30-60s)
• Subsequent loads faster (~5-10s)
• No memory errors
• No timeouts
• Cache working (check logs)

Documentation

• README.md clear and helpful
• Examples provided
• Usage instructions included
• Troubleshooting section added
• Links to GitHub repo included

Settings & Configuration

• Hardware tier selected (if not free)
• Environment variables set (if customizing)
• Sleep mode settings configured (for paid tiers)
• Analytics enabled (optional)
• Custom domain configured (optional)

Optional Enhancements

• Add authentication (if needed)
• Set up custom domain
• Add usage examples in README
• Create demo video/GIF
• Add to HuggingFace Papers
• Share on social media

Monitoring

• Check Logs tab regularly
• Monitor usage statistics
• Set up alerts (for paid tiers)
• Review error logs
• Track performance metrics

Maintenance

• Schedule regular updates
• Monitor for new model releases
• Update dependencies periodically
• Review and respond to user feedback
• Check for security updates

Troubleshooting Checklist

If Space doesn't work:

• Check Logs tab for errors
• Verify all files uploaded correctly
• Confirm file structure:

  SPACE_NAME/
  ├── app.py
  ├── requirements.txt
  └── src/
      └── writing_studio/
          ├── core/
          ├── services/
          └── utils/
  

• Review requirements.txt syntax
• Try factory reboot (Settings)
• Check model name spelling
• Verify hardware tier sufficient

Common Issues

Build Fails

• Check requirements.txt syntax
• Ensure app.py exists
• Verify Python version compatibility
• Check for missing dependencies

Out of Memory

• Switch to smaller model (distilgpt2)
• Reduce cache size
• Upgrade hardware tier
• Limit text length

Slow Performance

• Use distilgpt2 instead of larger models
• Ensure caching enabled
• Upgrade hardware tier
• Reduce generation length

Model Not Found

• Check model name spelling
• Verify model exists on HuggingFace
• Check internet connectivity
• Try default model

Success Criteria

Your deployment is successful when:

• Space builds without errors
• App loads in browser
• Text analysis works correctly
• All rubric scores display
• Diff highlighting appears
• Error handling works
• Performance acceptable
• Documentation clear
• No critical errors in logs

Next Steps

After successful deployment:

1. Share Space URL
2. Gather user feedback
3. Monitor performance
4. Plan improvements
5. Update documentation
6. Consider upgrading hardware (if needed)

Resources

• HuggingFace Spaces Docs
• Writing Studio HF Guide
• GitHub Repository
• User Guide

Support

Need help?

• Check Troubleshooting Guide
• Review HF Community Forums
• Open GitHub Issue

---

Estimated Time: 10-15 minutes for first deployment Difficulty: Easy Cost: Free (with optional paid upgrades)

Good luck with your deployment! 🚀