inference.py

from transformers import pipeline

def inference(inputs, parameters=None):
    # This is a placeholder function
    # In a real scenario, this would use your actual model
    return {"generated_image": "data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSI1MTIiIGhlaWdodD0iNTEyIj48cmVjdCB3aWR0aD0iNTEyIiBoZWlnaHQ9IjUxMiIgZmlsbD0iI2YwZjBmMCIvPjx0ZXh0IHg9IjUwJSIgeT0iNTAlIiBmb250LXNpemU9IjI0IiB0ZXh0LWFuY2hvcj0ibWlkZGxlIiBkb21pbmFudC1iYXNlbGluZT0ibWlkZGxlIiBmb250LWZhbWlseT0ic2Fucy1zZXJpZiI+RHVtbXkgU1ZHIGZvciBJbmZlcmVuY2UgQVBJPC90ZXh0Pjwvc3ZnPg=="}