app.py

import gradio as gr
from transformers import pipeline

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

def predict(image):
    predictions = pipeline(image)
    return {p["label"]: p["score"] for p in predictions}

gr.Interface(
    predict,
    inputs=gr.inputs.Image(label="Upload hot dog candidate", type="filepath"),
    outputs=gr.outputs.Label(num_top_classes=2),
    #title="Hot Dog? Or Not?",
    title="핫도그 인가요? 아닌가요?",
).launch(share=True)