Update app.py

app.py

@@ -19,7 +19,7 @@ category_index = label_map_util.create_category_index_from_labelmap(PATH_TO_LABE
 
 
 def pil_image_as_numpy_array(pilimg):
-
+    
     img_array = tf.keras.utils.img_to_array(pilimg)
     img_array = np.expand_dims(img_array, axis=0)
     return img_array
@@ -53,13 +53,10 @@ def predict(pilimg):
 def predict2(image_np):
 
     results = detection_model(image_np)
-
     # different object detection models have additional results
     result = {key:value.numpy() for key,value in results.items()}
-    
     label_id_offset = 0
     image_np_with_detections = image_np.copy()
-
     viz_utils.visualize_boxes_and_labels_on_image_array(
         image_np_with_detections[0],
         result['detection_boxes'][0],
@@ -71,7 +68,6 @@ def predict2(image_np):
         min_score_thresh=0.50,
         agnostic_mode=False,
         line_thickness=3)
-
     result_pil_img = tf.keras.utils.array_to_img(image_np_with_detections[0])
     
     return result_pil_img