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import gradio as gr
from transformers import pipeline
pipe = pipeline("image-classification", "umm-maybe/AI-image-detector")
def image_classifier(image):
outputs = pipe(image)
results = {}
for result in outputs:
results[result['label']] = result['score']
return results
title = "BurstPixel AI Image Detector"
demo = gr.Interface(fn=image_classifier, inputs=gr.Image(type="pil"), outputs="label", title=title)
demo.launch(show_api=False) |