DEPLOY_TO_HF_SPACES.md

🚀 Deploy to HuggingFace Spaces - Quick Guide

✅ Your App is Ready!

This application is fully configured for HuggingFace Spaces deployment. No additional setup needed!

📦 What You Need to Upload

Required Files

✓ app.py                    (HF Spaces entry point)
✓ requirements.txt          (Python dependencies)
✓ src/                      (Complete source code)
  └── writing_studio/
      ├── core/
      ├── services/
      └── utils/

Recommended Files

✓ .space_config.yml         (HF configuration)
✓ README_HF_SPACES.md       (Rename to README.md in your Space)

🎯 Deploy in 3 Steps

1️⃣ Create Space

Visit: https://huggingface.co/new-space

• Name your Space
• Choose SDK: Gradio
• Select: Public or Private
• Click "Create Space"

2️⃣ Upload Files

Drag and drop or use Git:

• app.py
• requirements.txt
• src/ folder (keep structure!)
• .space_config.yml
• Rename README_HF_SPACES.md → README.md

3️⃣ Wait & Test

• Build takes ~5 minutes
• App will be live at: https://huggingface.co/spaces/YOUR_USERNAME/YOUR_SPACE
• Test with sample text!

🎨 Features Included

✅ Real Rubric Scoring - Clarity, Conciseness, Organization, Evidence, Grammar
✅ 5 Prompt Packs - General, Literature, Tech Comm, Academic, Creative
✅ Visual Diff - Highlighted changes between drafts
✅ Smart Caching - Fast repeated analyses
✅ Error Handling - User-friendly error messages
✅ Production Ready - Validation, logging, metrics

⚙️ Configuration

Default Settings (Perfect for Free Tier)

• Model: distilgpt2 (fast & lightweight)
• Metrics: Disabled (not needed on HF Spaces)
• Logging: Text format (easy to read)
• Caching: Enabled (faster responses)

Custom Settings (Optional)

Edit .space_config.yml or add in Space Settings:

env:
  DEFAULT_MODEL: gpt2              # Use larger model
  MAX_TEXT_LENGTH: "5000"          # Limit input size
  LOG_LEVEL: INFO                  # Logging detail

💰 Hardware Tiers

Free Tier (Recommended to Start)

• Works great with distilgpt2
• First analysis: ~30-60s
• Subsequent: ~5-10s
• Perfect for demos!

CPU Upgrade ($0.10/hr)

• Better for gpt2
• Faster processing

T4 GPU ($0.60/hr)

• Best performance
• Large models supported

📚 Documentation

• HF_SPACES_CHECKLIST.md - Deployment checklist
• docs/HUGGINGFACE_SPACES.md - Complete guide
• README_HF_SPACES.md - User documentation
• HF_SPACES_README.txt - Quick reference

🧪 Test Locally First

pip install -r requirements.txt
python app.py

Visit http://localhost:7860 and test!

🆘 Troubleshooting

Build fails?

• Check all src/ files uploaded
• Verify requirements.txt syntax

Out of memory?

• Use distilgpt2 (default)
• Upgrade hardware tier

Slow?

• First load always slow (model download)
• Use distilgpt2 for speed
• Upgrade hardware

Full troubleshooting: See docs/HUGGINGFACE_SPACES.md

⏱️ Timeline

• Setup: 5-10 minutes
• Build: 3-5 minutes
• Total: ~15 minutes to live app!

🎉 Success Checklist

After deployment, verify:

• Space builds successfully
• App loads in browser
• Text analysis works
• All 5 prompt packs available
• Rubric scores display
• Diff highlighting works
• Error handling tested

🔗 Resources

• HuggingFace Spaces Docs
• Gradio Documentation
• GitHub Repository

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Ready to deploy? Follow the 3 steps above and you'll be live in minutes! 🚀