Update app.py

app.py

@@ -7,6 +7,13 @@ import PIL
 from PIL import Image
 import gradio as gr
 
+base_model = keras.applications.Xception(
+    # weights = "../input/xception/xception_weights_tf_dim_ordering_tf_kernels_notop.h5",
+    input_shape = (160,160,3),
+    include_top = False,)
+
+base_model.trainable = False
+
 #function for creating model
 #returns model, its inputs, Xception's last conv output, the whole model's outputs
 def create_model_mod():