Removed debug

app.py

@@ -20,20 +20,10 @@ base_model.trainable = False
 
 def create_model():
   input_layer = keras.Input(shape=(160,160,3))
-  if debug:
-    print(input_layer)
   R1 = Rescaling(scale=1/255)(input_layer)
-  if debug:
-    print(R1)
   B = base_model(R1 , training=False)
-  if debug:
-    print(B)
   P1 = keras.layers.GlobalAveragePooling2D()(B)
-  if debug:
-    print(P1)
   output_layer = Dense(1 , activation="sigmoid")(P1)
-  if debug:
-    print(f"output_layer: {output_layer}")
   model = keras.Model(input_layer , output_layer)
   model.compile(optimizer=keras.optimizers.Adam(0.001) , loss=keras.losses.BinaryCrossentropy() , metrics=["accuracy"])
   return model , input_layer, R1 , B , P1 , output_layer