SPACE_AUTHENTICATION_SUMMARY.md

🎯 Hugging Face Space Authentication - Complete Solution (GitHub Secrets)

🚨 Problem Summary

Your OpenLLM training in Hugging Face Spaces completed successfully, but the model upload failed with authentication errors:

⚠️ Repository creation warning: 401 Client Error: Unauthorized
Invalid username or password.
❌ Failed to save/upload model: 401 Client Error
Repository Not Found for url: https://huggingface.co/api/models/lemms/openllm-small-extended-8k/preupload/main

✅ Solution Provided

I've created a comprehensive solution to ensure your Hugging Face Space has proper authentication using GitHub secrets for future training runs.

📁 Files Created

1. setup_hf_space_auth.py - Complete Space authentication setup and testing (GitHub Secrets)
2. verify_space_auth.py - Simple verification script for Spaces (GitHub Secrets)
3. HUGGINGFACE_SPACE_SETUP_GUIDE.md - Comprehensive setup guide (GitHub Secrets)
4. SPACE_AUTHENTICATION_SUMMARY.md - This summary document

🔧 Quick Setup for Your Space

Step 1: Set Up GitHub Repository Secrets

1. Go to your GitHub repository:

   https://github.com/your-username/your-repo
   

2. Click on the "Settings" tab

3. In the left sidebar, click "Secrets and variables" → "Actions"

4. Click "New repository secret"

5. Add a new secret:

   • Name: HF_TOKEN
   • Value: Your Hugging Face token (get from https://huggingface.co/settings/tokens)

6. Click "Add secret"

Note: Hugging Face Spaces automatically have access to GitHub repository secrets, so you don't need to set them separately in the Space.

Step 2: Add Verification to Your Space

Add this code to your Space to verify authentication:

# Add this to your Space's main script
import os
from huggingface_hub import HfApi, login, whoami

def verify_space_auth():
    """Verify authentication is working in the Space using GitHub secrets."""
    print("🔐 Verifying Space Authentication (GitHub Secrets)")
    
    # Check if HF_TOKEN is set (from GitHub secrets)
    token = os.getenv("HF_TOKEN")
    if not token:
        print("❌ HF_TOKEN not found in Space environment")
        print("   - Please set HF_TOKEN in your GitHub repository secrets")
        print("   - Go to GitHub repository → Settings → Secrets and variables → Actions")
        return False
    
    try:
        # Test authentication
        login(token=token)
        user_info = whoami()
        username = user_info["name"]
        
        print(f"✅ Authentication successful!")
        print(f"   - Username: {username}")
        print(f"   - Source: GitHub secrets")
        
        # Test API access
        api = HfApi()
        print(f"✅ API access working")
        
        return True
        
    except Exception as e:
        print(f"❌ Authentication failed: {e}")
        return False

# Run verification before training
if __name__ == "__main__":
    verify_space_auth()

Step 3: Update Your Training Script

Modify your training script to include proper authentication using GitHub secrets:

import os
from huggingface_hub import HfApi, login, create_repo

class SpaceTrainingManager:
    def __init__(self):
        self.setup_authentication()
    
    def setup_authentication(self):
        """Set up authentication for the Space using GitHub secrets."""
        token = os.getenv("HF_TOKEN")
        if not token:
            raise ValueError("HF_TOKEN not found in Space environment. Please set it in GitHub repository secrets.")
        
        login(token=token)
        self.api = HfApi()
        user_info = whoami()
        self.username = user_info["name"]
        print(f"✅ Space authentication successful: {self.username}")
        print(f"   - Source: GitHub secrets")
    
    def upload_model(self, model_dir: str, model_size: str = "small", steps: int = 8000):
        """Upload the trained model to Hugging Face Hub."""
        repo_name = f"openllm-{model_size}-extended-{steps//1000}k"
        repo_id = f"{self.username}/{repo_name}"
        
        print(f"📤 Uploading model to {repo_id}")
        
        # Create repository
        create_repo(repo_id=repo_id, repo_type="model", exist_ok=True)
        
        # Upload all files
        self.api.upload_folder(
            folder_path=model_dir,
            repo_id=repo_id,
            repo_type="model",
            commit_message=f"Add OpenLLM {model_size} model ({steps} steps)"
        )
        
        print(f"✅ Model uploaded successfully!")
        print(f"   - Repository: https://huggingface.co/{repo_id}")
        return repo_id

# Usage in your training script
def main():
    # Initialize training manager
    training_manager = SpaceTrainingManager()
    
    # Your training code here...
    # ... (training logic) ...
    
    # After training completes, upload the model
    model_dir = "./openllm-trained"
    repo_id = training_manager.upload_model(model_dir, "small", 8000)
    
    print(f"🎉 Training and upload completed!")

if __name__ == "__main__":
    main()

🧪 Testing the Setup

Local Testing (Optional)

You can test the setup locally first:

# Test the Space authentication setup
python setup_hf_space_auth.py

# Test the verification script
python verify_space_auth.py

Space Testing

Add this to your Space to test authentication:

# Add this to your Space
from verify_space_auth import verify_space_authentication

# Run verification
verify_space_authentication()

🎯 Expected Results

After setting up your Space with proper authentication using GitHub secrets, you should see:

✅ Running in Hugging Face Space environment
✅ HF_TOKEN found: hf_xxxx...xxxx
   - Source: GitHub secrets
✅ Authentication successful!
   - Username: lemms
✅ API access working

🧪 Testing Repository Creation
🔄 Creating test repository: lemms/test-openllm-verification
✅ Repository created successfully
🔄 Cleaning up test repository...
✅ Repository deleted

🎉 All verification tests passed!
   - Authentication: ✅ Working
   - Repository Creation: ✅ Working
   - GitHub Secrets Integration: ✅ Working
   - Ready for training and model uploads!

🚀 Next Steps

1. Set up your GitHub repository secrets with HF_TOKEN
2. Add the verification code to your Space
3. Update your training script with the SpaceTrainingManager
4. Re-run your training - the upload should now work correctly
5. Monitor the Space logs for successful upload messages

🔒 Security Notes

• Token Security: HF_TOKEN is stored securely in GitHub repository secrets
• Repository Access: Only you can access your model repositories
• Cleanup: Test repositories are automatically deleted
• Monitoring: Check Space logs for any issues
• GitHub Integration: Secrets are automatically available in connected Spaces

📋 Complete Workflow

1. Set up GitHub repository secrets with your HF_TOKEN
2. Verify authentication using the verification script
3. Run your training with the updated training manager
4. Monitor upload progress in the Space logs
5. Verify the model appears on Hugging Face Hub

🎉 Success Criteria

Your setup is successful when:

• ✅ Authentication verification passes
• ✅ Repository creation test passes
• ✅ Training completes without upload errors
• ✅ Model appears on Hugging Face Hub at https://huggingface.co/lemms/openllm-small-extended-8k

🚀 Benefits of GitHub Secrets

1. Centralized Management: All secrets managed in one place
2. Automatic Access: Spaces automatically have access to repository secrets
3. Version Control: Secrets are tied to your repository
4. Security: GitHub provides secure secret management
5. Easy Updates: Update secrets without touching Space settings

🆘 If You Need Help

1. Check the comprehensive guide: HUGGINGFACE_SPACE_SETUP_GUIDE.md
2. Run verification tests in your Space
3. Check Space logs for detailed error messages
4. Verify token permissions at https://huggingface.co/settings/tokens
5. Ensure Space-GitHub connection is properly set up

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Status: ✅ SOLUTION READY - Follow the steps above to fix your Space authentication using GitHub secrets and ensure successful model uploads!