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Browse filesSigned-off-by: Aisuko <urakiny@gmail.com>
- app.py +21 -0
- requirements.txt +2 -0
app.py
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import gradio as gr
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from transformers import pipeline
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pipeline=pipeline(task="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 Hot Dog",
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)
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if __name__=="__main__":
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gradio_app.launch()
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requirements.txt
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torch==2.1.1
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transformers==4.35.2
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