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Create app.py
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app.py
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# Use a pipeline as a high-level helper
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from transformers import pipeline
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import gradio as gr
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pipe = pipeline("image-classification", model="julien-c/hotdog-not-hotdog")
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def predict(input_img):
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predictions=pipeline(input_img)
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return input_img,{p["label"]:p["score"]for p in predictions}
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gradio_app=gr.Interface(
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predict,
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inputs=gr.Image(label="select hot dog candidate",sources=['upload','webcam'],type="pil"),
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outputs=[gr.Image(label="Processed Image"),gr.Label(label="Result",num_top_classes=2)],
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title="Hot Dog? Or Not?",
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)
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if __name__="main":
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gradio_app.launch()
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