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app.py

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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
+
+demo = gr.Interface(fn=image_classifier, inputs=gr.Image(type="pil"), outputs="label")
+demo.launch()

requirements.txt

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+torch
+transformers
+pillow