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# π― Hugging Face Space Authentication - Complete Solution (GitHub Secrets)
## π¨ Problem Summary
Your OpenLLM training in Hugging Face Spaces completed successfully, but the model upload failed with authentication errors:
```
β οΈ Repository creation warning: 401 Client Error: Unauthorized
Invalid username or password.
β 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
```
## β
Solution Provided
I've created a comprehensive solution to ensure your Hugging Face Space has proper authentication using GitHub secrets for future training runs.
### π 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
## π§ 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" β "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("π Verifying Space Authentication (GitHub Secrets)")
# Check if HF_TOKEN is set (from GitHub secrets)
token = os.getenv("HF_TOKEN")
if not token:
print("β HF_TOKEN not found in Space environment")
print(" - Please set HF_TOKEN in your GitHub repository secrets")
print(" - Go to GitHub repository β Settings β Secrets and variables β Actions")
return False
try:
# Test authentication
login(token=token)
user_info = whoami()
username = user_info["name"]
print(f"β
Authentication successful!")
print(f" - Username: {username}")
print(f" - Source: GitHub secrets")
# Test API access
api = HfApi()
print(f"β
API access working")
return True
except Exception as e:
print(f"β 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"β
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"π€ 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"β
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"π Training and upload completed!")
if __name__ == "__main__":
main()
```
## π§ͺ 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()
```
## π― Expected Results
After setting up your Space with proper authentication using GitHub secrets, you should see:
```
β
Running in Hugging Face Space environment
β
HF_TOKEN found: hf_xxxx...xxxx
- Source: GitHub secrets
β
Authentication successful!
- Username: lemms
β
API access working
π§ͺ Testing Repository Creation
π Creating test repository: lemms/test-openllm-verification
β
Repository created successfully
π Cleaning up test repository...
β
Repository deleted
π All verification tests passed!
- Authentication: β
Working
- Repository Creation: β
Working
- GitHub Secrets Integration: β
Working
- Ready for training and model uploads!
```
## π 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
## π 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
## π 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
## π Success Criteria
Your setup is successful when:
- β
Authentication verification passes
- β
Repository creation test passes
- β
Training completes without upload errors
- β
Model appears on Hugging Face Hub at `https://huggingface.co/lemms/openllm-small-extended-8k`
## π 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
## π 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**: β
**SOLUTION READY** - Follow the steps above to fix your Space authentication using GitHub secrets and ensure successful model uploads!
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