Update app.py

app.py

@@ -15,7 +15,7 @@ image = None
 prediction = None
 labels = None
 max_label_index = None
-max_prediction_value = -1
+max_prediction_value = -1  # Initialize max_prediction_value here
 
 print('START')
 np.set_printoptions(suppress=True)
@@ -29,7 +29,6 @@ with open("labels.txt", "r") as file:
 def classify(image_path):
     try:
         image_data = np.array(image_path)
-        # image = cv.imread(image_path)
         image_data = cv.resize(image_data, (224, 224))
         image_array = np.asarray(image_data)
         normalized_image_array = (image_array.astype(np.float32) / 127.0) - 1
@@ -45,7 +44,7 @@ def classify(image_path):
 
             if prediction_value > max_prediction_value:
                 max_label_index = i
-                max_prediction_value = prediction_value
+                max_prediction_value = prediction_value  # Update max_prediction_value
 
         if max_label_index is not None:
             max_label = labels[max_label_index].split(' ', 1)[1]