AI ML commited on
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9f051ff
1 Parent(s): e00dbb3

Create app.py

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  1. app.py +18 -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(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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+
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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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+
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+ if __name__ == "__main__":
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+ gradio_app.launch()