Update app.py

app.py

@@ -266,7 +266,7 @@ async def predict(image):
         dogs_info = ""
 
         for i, (cropped_image, detection_confidence, box) in enumerate(dogs):
-            buttons_html = ""  # 初始化buttons_html，防止累積
+            buttons_html = ""  
             top1_prob, topk_breeds, topk_probs_percent = await predict_single_dog(cropped_image)
             color = color_list[i % len(color_list)]
             draw.rectangle(box, outline=color, width=3)
@@ -288,7 +288,6 @@ async def predict(image):
                     dogs_info += f"<li><strong>{breed}</strong> ({prob:.2f}% confidence)</li>"
                 dogs_info += "</ul>"
         
-                # 清空 buttons_html 以防累積
                 for breed in topk_breeds[:3]:
                     button_id = f"Dog {i+1}: More about {breed}"
                     buttons_html += f'<button class="breed-button" onclick="handle_button_click(\'{button_id}\')">{breed}</button>'
@@ -297,15 +296,10 @@ async def predict(image):
             else:
                 dogs_info += "<p>The image is unclear or the breed is not in the dataset. Please upload a clearer image.</p>"
         
-            dogs_info += '</div>'  # 關閉這個狗的div
-        
-        # 確保在每次處理一隻狗後重置，防止累積
+            dogs_info += '</div>'  
+             
         buttons_html = ""  
-
-
-
-
-        
+      
         html_output = f"""
         <style>
         .dog-info {{ border: 1px solid #ddd; margin-bottom: 20px; padding: 15px; border-radius: 5px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); }}
@@ -335,7 +329,7 @@ async def predict(image):
                 "show_back": True,
                 "image": annotated_image,
                 "is_multi_dog": len(dogs) > 1,
-                "html_output": html_output  # 儲存完整的 HTML 輸出
+                "html_output": html_output  
             }
             return html_output, annotated_image, gr.update(visible=True, choices=buttons), initial_state
         else:
@@ -345,7 +339,7 @@ async def predict(image):
                 "show_back": False,
                 "image": annotated_image,
                 "is_multi_dog": len(dogs) > 1,
-                "html_output": html_output  # 儲存完整的 HTML 輸出
+                "html_output": html_output  
             }
             return html_output, annotated_image, gr.update(visible=False, choices=[]), initial_state
 
@@ -416,7 +410,7 @@ with gr.Blocks() as iface:
         input_image = gr.Image(label="Upload a dog image", type="pil")
         output_image = gr.Image(label="Annotated Image")
     
-    output = gr.HTML(label="Prediction Results")  # 使用 HTML 而不是 Markdown
+    output = gr.HTML(label="Prediction Results")  
     
     breed_buttons = gr.Radio(choices=[], label="More Information", visible=False)