READY_TO_DEPLOY.md

✅ Your HuggingFace Space is Ready to Deploy!

🎯 Quick Deploy Commands

Run these commands in order:

# 1. Navigate to deployment directory
cd /Users/mbc/workspace/hackathonspace/iterate-hack-nov-2025/voice-RL-version2/voice-model-rl-training/deployment/huggingface-space

# 2. Initialize git
git init

# 3. Add all files
git add .

# 4. Commit
git commit -m "Initial deployment: Voice Model RL Training"

# 5. Add HuggingFace remote
git remote add space https://huggingface.co/spaces/iteratehack/voice-model-rl-training

# 6. Push to HuggingFace
git push space main --force

📍 Your Space URL

After deployment, your Space will be live at:

https://huggingface.co/spaces/iteratehack/voice-model-rl-training

⚙️ Space Configuration

The README.md header is already configured:

sdk: gradio
hardware: t4-small  # GPU support
python_version: 3.11
license: mit

💰 Cost Info

• T4 Small: $0.60/hour (only when running)
• Auto-sleep: 1 hour idle (configured)
• Free tier: Switch to cpu-basic in settings

🧪 Test Locally First (Optional)

# Install Gradio (already installed)
pip install gradio

# Run locally
python app.py

# Visit http://localhost:7860
# Press Ctrl+C to stop

📦 What's Included

✅ Production Gradio app (app.py) ✅ All dependencies (requirements.txt) ✅ Source code (voice_rl/ directory) ✅ GPU auto-detection ✅ Error handling ✅ Real-time progress tracking

🚀 Features Your Space Has

Training Tab:

• Model selection (Wav2Vec2, WavLM)
• Algorithm choice (PPO, REINFORCE)
• Hyperparameter configuration
• Real-time progress
• Automatic checkpointing

Compare Results Tab:

• Audio upload
• Base vs trained model comparison
• Side-by-side playback

Information Tab:

• Feature overview
• Usage instructions
• Citation info

📊 After Deployment

1. Check Build Logs:

   • Go to your Space > Logs tab
   • Wait for "Running on public URL"

2. Test Your Space:

   • Open the Space URL
   • Try training with 5 episodes
   • Upload test audio

3. Configure Hardware (if needed):

   • Settings > Hardware > Choose GPU type
   • For training: Keep T4 Small
   • For demos: Switch to CPU Basic (free)

4. Set Sleep Time:

   • Settings > Sleep time > 1 hour
   • Prevents unexpected charges

🔧 Quick Customization

Want to change something? Edit these files:

• app.py - UI and functionality
• requirements.txt - Dependencies
• README.md - Space documentation

Then push updates:

git add .
git commit -m "Your changes"
git push space main

📚 Documentation Files

• TEST_LOCALLY.md - How to test before deploying
• DEPLOY_TO_HF.md - Detailed deployment guide
• DEPLOYMENT_SUMMARY.md - Quick reference
• READY_TO_DEPLOY.md - This file!

🆘 Need Help?

Common Issues:

• Build fails → Check logs
• Import errors → Verify voice_rl/ structure
• GPU not available → Check hardware settings

Resources:

• HuggingFace Docs: https://huggingface.co/docs/hub/spaces
• Gradio Docs: https://www.gradio.app/docs

✨ You're All Set!

Your deployment directory is ready. Just run the commands above and your Space will be live!

---

Quick copy-paste:

cd /Users/mbc/workspace/hackathonspace/iterate-hack-nov-2025/voice-RL-version2/voice-model-rl-training/deployment/huggingface-space && git init && git add . && git commit -m "Initial deployment" && git remote add space https://huggingface.co/spaces/iteratehack/voice-model-rl-training && git push space main --force

🎉 Happy Deploying!