Update app.py

app.py

@@ -1,18 +1,19 @@
 import gradio as gr
 from transformers import pipeline
 
-pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
+# ✅ 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 = pipeline(input_img)
+    predictions = classifier(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?",
+    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()
+    gradio_app.launch()