from typing import Dict, Any
from datetime import datetime
import json

def validate_metadata(metadata: str) -> Dict[str, Any]:
    """Validate and parse metadata JSON input"""
    try:
        return json.loads(metadata)
    except json.JSONDecodeError:
        return {"source": "streamlit", "timestamp": datetime.now().isoformat()}

def log_workflow(results: Dict[str, Any]) -> None:
    """Log workflow results (placeholder for actual logging)"""
    print(f"Workflow completed at {datetime.now().isoformat()}")
    print(f"Results: {json.dumps(results, indent=2)}")

This implementation includes:

1. A complete Dockerfile for deployment
2. The main Streamlit application with all workflow components
3. Proper requirements file with all dependencies
4. Utility functions in a separate file
5. Session state management
6. Error handling
7. Clean UI layout with columns
8. Form submission handling
9. Results display section

The application is ready to run and can be deployed directly. You can replace the placeholder implementations (LLM, image generation, API calls) with your actual implementations as needed.