Text and Image

# Using OpenAI's GPT-4o to analyze an image (concept illustration)
# In practice, you would use the OpenAI API with a real image URL or base64 data

# IMPORTANT: Never hardcode API keys. Always use environment variables.
import os

# The API key is read from an environment variable, never from code
# Set this in your terminal: set OPENAI_API_KEY=your_key_here (Windows)
# Or in .env file if using python-dotenv

API_KEY = os.environ.get("OPENAI_API_KEY")

def describe_image_concept():
    """
    Illustrates how you would send an image to GPT-4o for analysis.
    This is a concept illustration - real usage requires openai package.
    """
    # The request structure for a multimodal GPT-4o API call
    request_structure = {
        "model": "gpt-4o",
        "messages": [
            {
                "role": "user",
                "content": [
                    {
                        "type": "text",
                        "text": "What is in this image? Describe the main elements."
                    },
                    {
                        "type": "image_url",
                        "image_url": {
                            "url": "https://example.com/your-image.jpg"
                            # Or use base64: "data:image/jpeg;base64,..."
                        }
                    }
                ]
            }
        ],
        "max_tokens": 300
    }

    print("Request structure for GPT-4o image analysis:")
    import json
    print(json.dumps(request_structure, indent=2))
    print()
    print("Note: Replace the image URL with your actual image URL")
    print("The API returns a text description of what it sees in the image")
    print()
    print("SECURITY: Store your API key in an environment variable:")
    print("  Windows: set OPENAI_API_KEY=your_key_here")
    print("  Mac/Linux: export OPENAI_API_KEY=your_key_here")
    print("  Python: import os; key = os.environ.get('OPENAI_API_KEY')")

describe_image_concept()