Update app.py

app.py

@@ -405,6 +405,103 @@ async def process_single_dog(image):
 #     gr.HTML('For more details on this project and other work, feel free to visit my GitHub <a href="https://github.com/Eric-Chung-0511/Learning-Record/tree/main/Data%20Science%20Projects/Dog_Breed_Classifier">Dog Breed Classifier</a>')
 
 
+# async def predict(image):
+#     if image is None:
+#         return "Please upload an image to start.", None, gr.update(visible=False, choices=[]), None
+
+#     try:
+#         if isinstance(image, np.ndarray):
+#             image = Image.fromarray(image)
+
+#         dogs = await detect_multiple_dogs(image)
+        
+#         color_list = ['#FF0000', '#00FF00', '#0000FF', '#FFFF00', '#00FFFF', '#FF00FF', '#800080', '#FFA500']
+#         html_output = """
+#         <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); }
+#         .dog-info h2 { background-color: #f0f0f0; padding: 10px; margin: -15px -15px 15px -15px; border-radius: 5px 5px 0 0; }
+#         .breed-buttons { margin-top: 10px; }
+#         .breed-button { margin-right: 10px; margin-bottom: 10px; padding: 5px 10px; background-color: #4CAF50; color: white; border: none; border-radius: 3px; cursor: pointer; }
+#         </style>
+#         """
+#         buttons = []
+#         annotated_image = image.copy()
+#         draw = ImageDraw.Draw(annotated_image)
+#         font = ImageFont.load_default()
+
+#         for i, (cropped_image, detection_confidence, box) in enumerate(dogs):
+#             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)
+#             draw.text((box[0] + 5, box[1] + 5), f"Dog {i+1}", fill=color, font=font)
+    
+#             combined_confidence = detection_confidence * top1_prob
+#             html_output += f'<div class="dog-info" style="border-left: 5px solid {color};">'
+#             html_output += f'<h2>Dog {i+1}</h2>'
+
+#             if top1_prob >= 0.45:
+#                 breed = topk_breeds[0]
+#                 description = get_dog_description(breed)
+#                 html_output += f"<p><strong>{breed}</strong> ({top1_prob:.2%} confidence)</p>"
+#                 html_output += format_description_html(description, breed)
+#                 button_id = f"Dog {i+1}: More about {breed}"
+#                 html_output += f'<div class="breed-buttons"><button class="breed-button" onclick="handle_button_click(\'{button_id}\')">{breed}</button></div>'
+#                 buttons.append(button_id)
+#             elif combined_confidence >= 0.15:
+#                 html_output += f"<p>Top 3 possible breeds:</p><ul>"
+#                 for j, (breed, prob) in enumerate(zip(topk_breeds[:3], topk_probs_percent[:3])):
+#                     html_output += f"<li><strong>{breed}</strong> ({prob} confidence)</li>"
+#                 html_output += "</ul>"
+#                 html_output += '<div class="breed-buttons">'
+#                 for breed in topk_breeds[:3]:
+#                     button_id = f"Dog {i+1}: More about {breed}"
+#                     html_output += f'<button class="breed-button" onclick="handle_button_click(\'{button_id}\')">{breed}</button>'
+#                     buttons.append(button_id)
+#                 html_output += '</div>'
+#             else:
+#                 html_output += "<p>The image is unclear or the breed is not in the dataset. Please upload a clearer image.</p>"
+            
+#             html_output += '</div>'
+
+#         if buttons:
+#             html_output += """
+#             <script>
+#             function handle_button_click(button_id) {
+#                 const radio = document.querySelector('input[type=radio][value="' + button_id + '"]');
+#                 if (radio) {
+#                     radio.click();
+#                 } else {
+#                     console.error("Radio button not found:", button_id);
+#                 }
+#             }
+#             </script>
+#             """
+#             initial_state = {
+#                 "explanation": html_output,
+#                 "buttons": buttons,
+#                 "show_back": True,
+#                 "image": annotated_image,
+#                 "is_multi_dog": len(dogs) > 1,
+#                 "dogs_info": html_output
+#             }
+#             return html_output, annotated_image, gr.update(visible=True, choices=buttons), initial_state
+#         else:
+#             initial_state = {
+#                 "explanation": html_output,
+#                 "buttons": [],
+#                 "show_back": False,
+#                 "image": annotated_image,
+#                 "is_multi_dog": len(dogs) > 1,
+#                 "dogs_info": html_output
+#             }
+#             return html_output, annotated_image, gr.update(visible=False, choices=[]), initial_state
+
+#     except Exception as e:
+#         error_msg = f"An error occurred: {str(e)}\n\nTraceback:\n{traceback.format_exc()}"
+#         print(error_msg)
+#         return error_msg, None, gr.update(visible=False, choices=[]), None
+
+
 async def predict(image):
     if image is None:
         return "Please upload an image to start.", None, gr.update(visible=False, choices=[]), None
@@ -442,7 +539,7 @@ async def predict(image):
             if top1_prob >= 0.45:
                 breed = topk_breeds[0]
                 description = get_dog_description(breed)
-                html_output += f"<p><strong>{breed}</strong> ({top1_prob:.2%} confidence)</p>"
+                #html_output += f"<p><strong>{breed}</strong> ({top1_prob:.2%} confidence)</p>"
                 html_output += format_description_html(description, breed)
                 button_id = f"Dog {i+1}: More about {breed}"
                 html_output += f'<div class="breed-buttons"><button class="breed-button" onclick="handle_button_click(\'{button_id}\')">{breed}</button></div>'
@@ -500,6 +597,7 @@ async def predict(image):
         error_msg = f"An error occurred: {str(e)}\n\nTraceback:\n{traceback.format_exc()}"
         print(error_msg)
         return error_msg, None, gr.update(visible=False, choices=[]), None
+
         
 
 def show_details_html(choice, previous_output, initial_state):