Lots more code removed

app.py

@@ -8,18 +8,18 @@ from tensorflow.python.framework.ops import disable_eager_execution
 # Becuase important
 disable_eager_execution()
 
-# Load the training and testing data
-load_data = numpy.load('data/train_test_split_data.npz')  # Data saved by the VAE
-
-# Convert Data to Tuples and Assign to respective variables
-box_matrix_train, box_density_train, additional_pixels_train, box_shape_train = tuple(
-    load_data['box_matrix_train']), tuple(load_data['box_density_train']), tuple(
-    load_data['additional_pixels_train']), tuple(load_data['box_shape_train'])
-box_matrix_test, box_density_test, additional_pixels_test, box_shape_test = tuple(load_data['box_matrix_test']), tuple(
-    load_data['box_density_test']), tuple(load_data['additional_pixels_test']), tuple(load_data['box_shape_test'])
-testX = box_matrix_test  # Shows the relationship to the MNIST Dataset vs the Shape Dataset
-image_size = numpy.shape(testX)[-1]  # Determines the size of the images
-test_data = numpy.reshape(testX, (len(testX), image_size, image_size, 1))
+# # Load the training and testing data
+# load_data = numpy.load('data/train_test_split_data.npz')  # Data saved by the VAE
+#
+# # Convert Data to Tuples and Assign to respective variables
+# box_matrix_train, box_density_train, additional_pixels_train, box_shape_train = tuple(
+#     load_data['box_matrix_train']), tuple(load_data['box_density_train']), tuple(
+#     load_data['additional_pixels_train']), tuple(load_data['box_shape_train'])
+# box_matrix_test, box_density_test, additional_pixels_test, box_shape_test = tuple(load_data['box_matrix_test']), tuple(
+#     load_data['box_density_test']), tuple(load_data['additional_pixels_test']), tuple(load_data['box_shape_test'])
+# testX = box_matrix_test  # Shows the relationship to the MNIST Dataset vs the Shape Dataset
+# image_size = numpy.shape(testX)[-1]  # Determines the size of the images
+# test_data = numpy.reshape(testX, (len(testX), image_size, image_size, 1))
 
 # Creates tuples that contain all of the data generated
 # allX = numpy.append(box_matrix_train, box_matrix_test, axis=0)