Update app.py

app.py

@@ -80,8 +80,8 @@ if file is not None:
         
     # img = cv2.imread(file)
     # cv2_imshow(img)
-    img1 = cv2.resize(opencv_image, (28, 28))
-    result = model.predict(img1.reshape(1, 28, 28, 3))
+    img1 = cv2.resize(opencv_image, (32, 32))
+    result = model.predict(img1.reshape(1, 32, 32, 3))
     max_prob = max(result[0])
     class_ind = list(result[0]).index(max_prob)
     class_name = classes[class_ind]