fix

app.py

@@ -84,13 +84,9 @@ def get_top_k(probs, k=5, label_map=CLASSES):
     return tuple(zip(top_labels, top_probs))
 
 def inferenece(video):
-    init_states = {
-        name: tf.zeros(x['shape'], dtype=x['dtype'])
-        for name, x in runner.get_input_details().items()
-        }
-    del init_states['image']
     video = frames_from_video_file(video, 20)
     clips = tf.split(video, video.shape[1], axis=1)
+    states = init_states
     for clip in clips:
         # Input shape: [1, 1, 172, 172, 3]
         outputs = runner(**states, image=clip)