app.py

import gradio as gr

from transformers import pipeline




model = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")






def predict(image):

   predictions = model(image)

   return {p["label"]: p["score"] for p in predictions}






gr.Interface(

   predict,

   inputs=gr.Image(label="Upload image", type="filepath"),

   outputs=gr.Label(num_top_classes=2),

   title="Hotdog or Not Hotdog?",

).launch()