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import gradio as gr
from transformers import pipeline
pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
def predict(input_img):
predictions = pipeline(input_img)
return input_img, {p["label"]: p["score"] for p in predictions}
gradio_app = gr.Interface(
predict,
inputs=gr.Image(label="Select hot dog candidate", sources=['upload', 'webcam'], type="pil"),
outputs=[gr.Image(label="Processed Image"), gr.Label(label="Result", num_top_classes=2)],
title="Does this picture contain a Hot Dog?",
description = 'This is a demo of the hotdog-not-hotdog model by julien-c.<br><br>',
css=".gradio-container {background-color: blanchedalmond;}"
)
if __name__ == "__main__":
gradio_app.launch()
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