app.py

import gradio as gr
from transformers import pipeline

# ✅ 使用通用模型來分類不只熱狗的圖片
classifier = pipeline(task="image-classification", model="google/vit-base-patch16-224")

def predict(input_img):
    predictions = classifier(input_img)
    return input_img, {p["label"]: p["score"] for p in predictions} 

gradio_app = gr.Interface(
    fn=predict,
    inputs=gr.Image(label="Upload an image", sources=['upload', 'webcam'], type="pil"),
    outputs=[gr.Image(label="Input Image"), gr.Label(label="Predictions", num_top_classes=3)],
    title="🍽️ Image Classifier — What Is This?",
)

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