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Add authentication summary

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+ # 🎯 Hugging Face Space Authentication - Complete Solution (GitHub Secrets)
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+
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+ ## 🚨 Problem Summary
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+
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+ Your OpenLLM training in Hugging Face Spaces completed successfully, but the model upload failed with authentication errors:
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+
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+ ```
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+ ⚠️ Repository creation warning: 401 Client Error: Unauthorized
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+ Invalid username or password.
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+ ❌ Failed to save/upload model: 401 Client Error
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+ Repository Not Found for url: https://huggingface.co/api/models/lemms/openllm-small-extended-8k/preupload/main
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+ ```
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+
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+ ## βœ… Solution Provided
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+
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+ I've created a comprehensive solution to ensure your Hugging Face Space has proper authentication using GitHub secrets for future training runs.
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+
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+ ### πŸ“ Files Created
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+
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+ 1. **`setup_hf_space_auth.py`** - Complete Space authentication setup and testing (GitHub Secrets)
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+ 2. **`verify_space_auth.py`** - Simple verification script for Spaces (GitHub Secrets)
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+ 3. **`HUGGINGFACE_SPACE_SETUP_GUIDE.md`** - Comprehensive setup guide (GitHub Secrets)
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+ 4. **`SPACE_AUTHENTICATION_SUMMARY.md`** - This summary document
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+
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+ ## πŸ”§ Quick Setup for Your Space
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+
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+ ### Step 1: Set Up GitHub Repository Secrets
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+
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+ 1. Go to your GitHub repository:
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+ ```
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+ https://github.com/your-username/your-repo
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+ ```
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+
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+ 2. Click on the "Settings" tab
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+
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+ 3. In the left sidebar, click "Secrets and variables" β†’ "Actions"
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+
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+ 4. Click "New repository secret"
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+
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+ 5. Add a new secret:
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+ - **Name**: `HF_TOKEN`
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+ - **Value**: Your Hugging Face token (get from https://huggingface.co/settings/tokens)
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+
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+ 6. Click "Add secret"
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+
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+ **Note**: Hugging Face Spaces automatically have access to GitHub repository secrets, so you don't need to set them separately in the Space.
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+
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+ ### Step 2: Add Verification to Your Space
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+
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+ Add this code to your Space to verify authentication:
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+
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+ ```python
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+ # Add this to your Space's main script
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+ import os
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+ from huggingface_hub import HfApi, login, whoami
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+
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+ def verify_space_auth():
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+ """Verify authentication is working in the Space using GitHub secrets."""
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+ print("πŸ” Verifying Space Authentication (GitHub Secrets)")
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+
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+ # Check if HF_TOKEN is set (from GitHub secrets)
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+ token = os.getenv("HF_TOKEN")
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+ if not token:
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+ print("❌ HF_TOKEN not found in Space environment")
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+ print(" - Please set HF_TOKEN in your GitHub repository secrets")
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+ print(" - Go to GitHub repository β†’ Settings β†’ Secrets and variables β†’ Actions")
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+ return False
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+
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+ try:
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+ # Test authentication
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+ login(token=token)
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+ user_info = whoami()
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+ username = user_info["name"]
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+
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+ print(f"βœ… Authentication successful!")
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+ print(f" - Username: {username}")
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+ print(f" - Source: GitHub secrets")
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+
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+ # Test API access
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+ api = HfApi()
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+ print(f"βœ… API access working")
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+
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+ return True
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+
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+ except Exception as e:
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+ print(f"❌ Authentication failed: {e}")
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+ return False
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+
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+ # Run verification before training
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+ if __name__ == "__main__":
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+ verify_space_auth()
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+ ```
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+
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+ ### Step 3: Update Your Training Script
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+
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+ Modify your training script to include proper authentication using GitHub secrets:
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+
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+ ```python
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+ import os
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+ from huggingface_hub import HfApi, login, create_repo
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+
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+ class SpaceTrainingManager:
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+ def __init__(self):
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+ self.setup_authentication()
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+
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+ def setup_authentication(self):
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+ """Set up authentication for the Space using GitHub secrets."""
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+ token = os.getenv("HF_TOKEN")
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+ if not token:
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+ raise ValueError("HF_TOKEN not found in Space environment. Please set it in GitHub repository secrets.")
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+
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+ login(token=token)
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+ self.api = HfApi()
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+ user_info = whoami()
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+ self.username = user_info["name"]
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+ print(f"βœ… Space authentication successful: {self.username}")
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+ print(f" - Source: GitHub secrets")
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+
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+ def upload_model(self, model_dir: str, model_size: str = "small", steps: int = 8000):
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+ """Upload the trained model to Hugging Face Hub."""
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+ repo_name = f"openllm-{model_size}-extended-{steps//1000}k"
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+ repo_id = f"{self.username}/{repo_name}"
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+
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+ print(f"πŸ“€ Uploading model to {repo_id}")
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+
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+ # Create repository
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+ create_repo(repo_id=repo_id, repo_type="model", exist_ok=True)
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+
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+ # Upload all files
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+ self.api.upload_folder(
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+ folder_path=model_dir,
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+ repo_id=repo_id,
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+ repo_type="model",
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+ commit_message=f"Add OpenLLM {model_size} model ({steps} steps)"
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+ )
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+
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+ print(f"βœ… Model uploaded successfully!")
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+ print(f" - Repository: https://huggingface.co/{repo_id}")
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+ return repo_id
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+
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+ # Usage in your training script
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+ def main():
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+ # Initialize training manager
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+ training_manager = SpaceTrainingManager()
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+
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+ # Your training code here...
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+ # ... (training logic) ...
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+
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+ # After training completes, upload the model
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+ model_dir = "./openllm-trained"
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+ repo_id = training_manager.upload_model(model_dir, "small", 8000)
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+
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+ print(f"πŸŽ‰ Training and upload completed!")
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+
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+ if __name__ == "__main__":
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+ main()
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+ ```
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+
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+ ## πŸ§ͺ Testing the Setup
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+
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+ ### Local Testing (Optional)
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+
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+ You can test the setup locally first:
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+
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+ ```bash
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+ # Test the Space authentication setup
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+ python setup_hf_space_auth.py
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+
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+ # Test the verification script
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+ python verify_space_auth.py
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+ ```
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+
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+ ### Space Testing
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+
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+ Add this to your Space to test authentication:
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+
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+ ```python
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+ # Add this to your Space
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+ from verify_space_auth import verify_space_authentication
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+
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+ # Run verification
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+ verify_space_authentication()
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+ ```
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+
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+ ## 🎯 Expected Results
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+
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+ After setting up your Space with proper authentication using GitHub secrets, you should see:
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+
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+ ```
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+ βœ… Running in Hugging Face Space environment
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+ βœ… HF_TOKEN found: hf_xxxx...xxxx
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+ - Source: GitHub secrets
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+ βœ… Authentication successful!
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+ - Username: lemms
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+ βœ… API access working
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+
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+ πŸ§ͺ Testing Repository Creation
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+ πŸ”„ Creating test repository: lemms/test-openllm-verification
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+ βœ… Repository created successfully
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+ πŸ”„ Cleaning up test repository...
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+ βœ… Repository deleted
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+
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+ πŸŽ‰ All verification tests passed!
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+ - Authentication: βœ… Working
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+ - Repository Creation: βœ… Working
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+ - GitHub Secrets Integration: βœ… Working
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+ - Ready for training and model uploads!
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+ ```
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+
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+ ## πŸš€ Next Steps
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+
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+ 1. **Set up your GitHub repository secrets** with HF_TOKEN
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+ 2. **Add the verification code** to your Space
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+ 3. **Update your training script** with the SpaceTrainingManager
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+ 4. **Re-run your training** - the upload should now work correctly
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+ 5. **Monitor the Space logs** for successful upload messages
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+
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+ ## πŸ”’ Security Notes
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+
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+ - **Token Security**: HF_TOKEN is stored securely in GitHub repository secrets
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+ - **Repository Access**: Only you can access your model repositories
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+ - **Cleanup**: Test repositories are automatically deleted
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+ - **Monitoring**: Check Space logs for any issues
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+ - **GitHub Integration**: Secrets are automatically available in connected Spaces
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+
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+ ## πŸ“‹ Complete Workflow
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+
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+ 1. **Set up GitHub repository secrets** with your HF_TOKEN
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+ 2. **Verify authentication** using the verification script
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+ 3. **Run your training** with the updated training manager
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+ 4. **Monitor upload progress** in the Space logs
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+ 5. **Verify the model** appears on Hugging Face Hub
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+
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+ ## πŸŽ‰ Success Criteria
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+
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+ Your setup is successful when:
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+ - βœ… Authentication verification passes
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+ - βœ… Repository creation test passes
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+ - βœ… Training completes without upload errors
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+ - βœ… Model appears on Hugging Face Hub at `https://huggingface.co/lemms/openllm-small-extended-8k`
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+
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+ ## πŸš€ Benefits of GitHub Secrets
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+
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+ 1. **Centralized Management**: All secrets managed in one place
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+ 2. **Automatic Access**: Spaces automatically have access to repository secrets
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+ 3. **Version Control**: Secrets are tied to your repository
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+ 4. **Security**: GitHub provides secure secret management
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+ 5. **Easy Updates**: Update secrets without touching Space settings
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+
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+ ## πŸ†˜ If You Need Help
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+
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+ 1. **Check the comprehensive guide**: `HUGGINGFACE_SPACE_SETUP_GUIDE.md`
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+ 2. **Run verification tests** in your Space
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+ 3. **Check Space logs** for detailed error messages
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+ 4. **Verify token permissions** at https://huggingface.co/settings/tokens
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+ 5. **Ensure Space-GitHub connection** is properly set up
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+
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+ ---
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+
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+ **Status**: βœ… **SOLUTION READY** - Follow the steps above to fix your Space authentication using GitHub secrets and ensure successful model uploads!