14 lines
582 B
Python
14 lines
582 B
Python
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?",
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)
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if __name__ == "__main__":
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gradio_app.launch() |