Update app.py

app.py

@@ -1,7 +1,8 @@
 import cv2
 from tensorflow.keras.models import load_model
 from PIL import Image
-import numpy as np
+import numpy as np 
+import tensorflow as tf
 import streamlit as st
 
 # Open the video file
@@ -21,7 +22,7 @@ if video_file is not None:
 
     # Initialize a counter for frames
     frame_count = 0
-    model = load_model('HandSignClassifier.h5')
+    model = tf.keras.models.load_model('HandSignClassifier.h5')
     array = ['a','b','c','d','e','f','g','h','i','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y']
     out = ''