# 🎯 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:

```python
# 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:

```python
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:

```bash
# 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:

```python
# 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

---

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