app.py

import gradio as gr
from transformers import pipeline

# 建立模型
classifier = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")

# 預測函式
def predict(image):
    predictions = classifier(image)
    return {p["label"]: p["score"] for p in predictions}

# 建立介面
gr.Interface(
    fn=predict,
    inputs=gr.Image(label="Upload hot dog candidate", type="filepath"),
    outputs=gr.Label(num_top_classes=2),
    title="🌭 Hot Dog? Or Not?",
    allow_flagging="manual"
).launch()