Spaces:
Running
Running
File size: 6,408 Bytes
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# HuggingFace Spaces Deployment Checklist
Quick checklist for deploying Writing Studio to HuggingFace Spaces.
## Pre-Deployment
- [ ] HuggingFace account created
- [ ] Reviewed [HF Spaces documentation](https://huggingface.co/docs/hub/spaces)
- [ ] 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:
```yaml
---
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](https://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:
```bash
git clone https://huggingface.co/spaces/USERNAME/SPACE_NAME
```
- [ ] Copy files to repository
- [ ] Commit and push:
```bash
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:
- [x] Space builds without errors
- [x] App loads in browser
- [x] Text analysis works correctly
- [x] All rubric scores display
- [x] Diff highlighting appears
- [x] Error handling works
- [x] Performance acceptable
- [x] Documentation clear
- [x] 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](https://huggingface.co/docs/hub/spaces)
- [Writing Studio HF Guide](docs/HUGGINGFACE_SPACES.md)
- [GitHub Repository](https://github.com/yourusername/writing-studio)
- [User Guide](docs/USER_GUIDE.md)
## Support
Need help?
- Check [Troubleshooting Guide](docs/HUGGINGFACE_SPACES.md#troubleshooting)
- Review [HF Community Forums](https://discuss.huggingface.co/)
- Open [GitHub Issue](https://github.com/yourusername/writing-studio/issues)
---
**Estimated Time:** 10-15 minutes for first deployment
**Difficulty:** Easy
**Cost:** Free (with optional paid upgrades)
Good luck with your deployment! 🚀
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