Update app.py

app.py

@@ -49,17 +49,7 @@ def count_and_display_pie_chart(image, labels_text):
 
     label_count = defaultdict(int)
 
-    # for i, (box, cls, conf) in enumerate(zip(boxes, classes, confidences)):
-    #     x1, y1, x2, y2 = box
-    #     confidence = conf
-    #     detected_class = cls
-    #     name = names[int(cls)]
 
-    #     cropped_image = image.crop((int(x1), int(y1), int(x2), int(y2)))
-
-    #     label_count[name] += 1
-
-    # Iterate through the results
     for i, (box, cls, conf) in enumerate(zip(boxes, classes, confidences)):
         x1, y1, x2, y2 = box
         confidence = conf
@@ -72,7 +62,7 @@ def count_and_display_pie_chart(image, labels_text):
 
 
         # Pass the cropped image through the 'shot' function
-        labels_text = 'PET bottle, Milk container, Soda can, Plastic cover'  # Assuming 'name' contains the label text for the detected object
+        #labels_text = 'PET bottle, Milk container, Soda can, Plastic cover'  # Assuming 'name' contains the label text for the detected object
         result = shot(cropped_image, labels_text)
 
         # Find the label with the highest score