Update app.py

app.py

@@ -59,18 +59,21 @@ else:
 # 設定範例圖片
 examples = [[examples_path + "/" + img] for img in os.listdir(examples_path)]
 
-# 新增下拉選單，顯示所有品種
-dropdown = gr.Dropdown(choices=class_names, label="Select a breed", type="value")
+# 建立 Markdown 清單顯示所有品種
+breed_list = "### Recognizable Breeds\n" + "\n".join([f"- {breed}" for breed in class_names])
 
 # Gradio 介面
-demo = gr.Interface(
-    fn=classify_image,  
-    inputs=[gr.Image(type="pil")],  # 移除掉 dropdown 作為輸入
-    outputs=[gr.Label(num_top_classes=3, label="Top 3 Predictions")],  
-    examples=examples,  
-    title='Oxford Pet 🐈🐕',  
-    description='A ResNet50-based model for classifying 37 different pet breeds.',
-    article='[Oxford Project](https://github.com/Eric-Chung-0511/Learning-Record/tree/main/Data%20Science%20Projects/The%20Oxford-IIIT%20Pet%20Project)'
-)
+demo = gr.Blocks()
+
+with demo:
+    gr.Markdown("# Oxford Pet 🐕🐈 Recognizable Breeds")
+    gr.Markdown(breed_list)  # 用 Markdown 顯示品種列表
+    gr.Interface(fn=classify_image,  
+                 inputs=gr.Image(type="pil"),  # 只需要圖片輸入
+                 outputs=[gr.Label(num_top_classes=3, label="Top 3 Predictions")],  
+                 examples=examples,  
+                 title='Oxford Pet 🐈🐕',  
+                 description='A ResNet50-based model for classifying 37 different pet breeds.',
+                 article="[Oxford Project](https://github.com/Eric-Chung-0511/Learning-Record/tree/main/Data%20Science%20Projects/The%20Oxford-IIIT%20Pet%20Project)").launch()
 
 demo.launch()