Update app.py

app.py

@@ -4,17 +4,9 @@ import requests
 import cv2
 import numpy as np
 
-# Define a custom layer 'FixedDropout'
-def fixed_dropout(x):
-    return tf.keras.layers.Dropout(0.5)(x)
-
-# Function to register custom layers within a custom_object_scope
-def register_custom_layers():
-    return tf.keras.utils.custom_object_scope({'FixedDropout': fixed_dropout})
-
-# Load the TensorFlow model within the custom_object_scope
-with register_custom_layers():
-    tf_model = tf.keras.models.load_model('modelo_treinado.h5')
+# Load the TensorFlow model
+tf_model_path = 'modelo_treinado.h5'  # Update with the path to your TensorFlow model
+tf_model = tf.keras.models.load_model(tf_model_path)
 
 class_labels = ["Normal", "Cataract"]