How can I upload an image file from a URL to the OpenAI API using Xano?

Below is some guidance on how to correctly upload an image file. The API expects the file’s binary content sent as form-data (i.e. a multi-part form upload), not simply a URL string. If your image is only available via URL, you’ll need to download it first, then pass the local binary file to the API.

Here’s an example using Python and the requests library:

PYTHONCopied
import requests

def upload_image(api_key, image_path, purpose="fine-tune"):
    url = 'https://api.openai.com/v1/files'
    headers = {
        'Authorization': f'Bearer {api_key}'
    }
    # Note: Do not manually set the Content-Type header when using `files`
    with open(image_path, 'rb') as image_file:
        files = {
            'file': image_file
        }
        data = {
            'purpose': purpose  # Set the intended purpose (adjust if needed)
        }
        response = requests.post(url, headers=headers, files=files, data=data)
    return response.json()

# Example usage:
if __name__ == "__main__":
    api_key = "YOUR_API_KEY"
    image_path = "./path/to/your/image.jpg"
    result = upload_image(api_key, image_path)
    print(result)

Key Points

• Binary Content vs. URL: The API requires the actual file content. A public URL will not work because the API won’t fetch the file for you.
• Multipart/Form-Data: Using files in the requests library automatically sets the required multipart boundary, so you shouldn't manually set the Content-Type header.
• Purpose Parameter: Depending on your use case (like fine-tuning), use the purpose parameter as described in the docs.

This code reads the image from a local path as binary data and uploads it to the OpenAI API. Adjust the file path, API key, and any additional parameters as needed for your specific integration with Xano.