typo

app.py

@@ -29,7 +29,7 @@ from tensorflow.keras.applications import densenet, efficientnet
 
 # load the binary classification model
 model_cnn = tf.keras.models.load_model("CNN_binary")
-model_efficientnet = tf.keras.models.load_model("EfficientNet_binary")
+model_efficientnet = tf.keras.models.load_model("efficientNet_binary")
 
 # define the labels for the multi-label classification model
 labels_cnn = {0: 'healthy', 1: 'patient'}