app.py

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="Hot Dog or Not Hot Dog",
)

if __name__=="__main__":
    gradio_app.launch()