Create app.py

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
+
+title = "BurstPixel AI Image Detector"
+description = """
+This app is a proof-of-concept demonstration of using a ViT model to predict whether an artistic image was generated using AI.\n
+For more information please see the blog post describing it at:
+https://medium.com/@matthewmaybe/can-an-ai-learn-to-identify-ai-art-545d9d6af226
+"""
+
+demo = gr.Interface(fn=image_classifier, inputs=gr.Image(type="pil"), outputs="label", title=title, description=description)
+demo.launch(show_api=False)