Update handler.py

handler.py

@@ -1,7 +1,6 @@
 import cv2
 import numpy as np
 import tensorflow as tf
-import time
 import random
 from typing import Any, Dict, List
 
@@ -22,7 +21,6 @@ class EndpointHandler():
         return top_labels[0]
 
     def perform_action_recognition(self, frame, k=1):
-        
         outputs = self.model.signatures['serving_default'](image=frame)
         probs = tf.nn.softmax(outputs['classifier_head_1'])
         return self.get_top_k(probs[0], k=k)