Fix

app.py

@@ -2,12 +2,11 @@ import random
 import gradio
 import numpy
 import tensorflow
-import tensorflow.python.framework.ops
 import math
-# from tensorflow.python.framework.ops import disable_eager_execution
+from tensorflow.python.framework.ops import disable_eager_execution
 
 # Becuase important
-tensorflow.python.framework.ops.disable_eager_execution()
+disable_eager_execution()
 
 # Load the training and testing data
 load_data = numpy.load('data/train_test_split_data.npz')  # Data saved by the VAE
@@ -30,7 +29,6 @@ all_box_shape = numpy.append(box_shape_train, box_shape_test, axis=0)
 all_data = numpy.reshape(allX, (len(allX), image_size, image_size, 1))
 
 
-
 def basic_box_array(image_size):
     A = numpy.zeros((int(image_size), int(image_size)))  # Initializes A matrix with 0 values
     # Creates the outside edges of the box