Update app.py

app.py

@@ -363,42 +363,56 @@ async def predict(image):
         draw = ImageDraw.Draw(annotated_image)
         font = ImageFont.load_default()
 
-        dogs_info = ""
+        dogs_info_parts = []
 
         for i, (cropped_image, detection_confidence, box) in enumerate(dogs):
-            top1_prob, topk_breeds, topk_probs_percent = await predict_single_dog(cropped_image)
+            try:
+                top1_prob, topk_breeds, topk_probs_percent = await predict_single_dog(cropped_image)
+            except Exception as e:
+                print(f"Error predicting dog breed: {e}")
+                continue
+
             color = color_list[i % len(color_list)]
             draw.rectangle(box, outline=color, width=3)
             draw.text((box[0] + 5, box[1] + 5), f"Dog {i+1}", fill=color, font=font)
         
             combined_confidence = detection_confidence * top1_prob
-            dogs_info += f'<div class="dog-info" style="border-left: 5px solid {color}; margin-bottom: 20px; padding: 15px;">'
-            dogs_info += f'<h2>Dog {i+1}</h2>'
+            dog_info = [
+                f'<div class="dog-info" style="border-left: 5px solid {color}; margin-bottom: 20px; padding: 15px;">',
+                f'<h2>Dog {i+1}</h2>'
+            ]
         
             if top1_prob >= 0.45:
                 breed = topk_breeds[0]
-                description = get_dog_description(breed)
-                dogs_info += format_description_html(description, breed)
+                try:
+                    description = get_dog_description(breed)
+                    dog_info.append(format_description_html(description, breed))
+                except Exception as e:
+                    print(f"Error getting dog description: {e}")
+                    dog_info.append("<p>Unable to fetch breed description. Please try again later.</p>")
         
             elif combined_confidence >= 0.15:
-                dogs_info += f"<p>Top 3 possible breeds:</p><ul>"
-                for j, (breed, prob) in enumerate(zip(topk_breeds[:3], topk_probs_percent[:3])):
+                dog_info.append("<p>Top 3 possible breeds:</p><ul>")
+                for breed, prob in zip(topk_breeds[:3], topk_probs_percent[:3]):
                     prob = float(prob.replace('%', ''))
-                    dogs_info += f"<li><strong>{breed}</strong> ({prob:.2f}% confidence)</li>"
-                dogs_info += "</ul>"
+                    dog_info.append(f"<li><strong>{breed}</strong> ({prob:.2f}% confidence)</li>")
+                dog_info.append("</ul>")
         
-                dogs_info += '<div class="breed-buttons">'
+                dog_info.append('<div class="breed-buttons">')
                 for breed in topk_breeds[:3]:
                     button_id = f"Dog {i+1}: More about {breed}"
-                    dogs_info += f'<button class="breed-button" onclick="handle_button_click(\'{button_id}\')">{breed}</button>'
+                    dog_info.append(f'<button class="breed-button" onclick="handle_button_click(\'{button_id}\')" aria-label="More information about {breed}">{breed}</button>')
                     buttons.append(button_id)
-                dogs_info += '</div>'
+                dog_info.append('</div>')
         
             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>'
+                dog_info.append("<p>The image is unclear or the breed is not in the dataset. Please upload a clearer image.</p>")
         
+            dog_info.append('</div>')
+            dogs_info_parts.append(''.join(dog_info))
+
+        dogs_info = ''.join(dogs_info_parts)
+
         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); }}