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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() | |