tuyendragon commited on
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6b96667
1 Parent(s): ee366bf

Create app.py

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  1. app.py +15 -0
app.py ADDED
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+ import gradio as gr
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+ from transformers import pipeline
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+
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+ pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
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+
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+ def predict(image):
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+ predictions = pipeline(image)
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+ return {p["label"]: p["score"] for p in predictions}
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+
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+ gr.Interface(
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+ predict,
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+ inputs=gr.inputs.Image(label="Upload hot dog candidate", type="filepath"),
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+ outputs=gr.outputs.Label(num_top_classes=2),
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+ title="Hot Dog? Or Not?",
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+ ).launch()