Load model with pipeline rather than use inference API
Browse files
app.py
CHANGED
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import gradio as gr
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import gradio as gr
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from transformers import pipeline
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pipe = pipeline("image-classification", "umm-maybe/AI-image-detector")
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def image_classifier(image):
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outputs = pipe(image)
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results = {}
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for result in outputs:
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results[result['label']] = result['score']
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return results
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demo = gr.Interface(fn=image_classifier, inputs=gr.Image(type="pil"), outputs="label")
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demo.launch()
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