diff --git a/Models/model_testrunner.py b/Models/model_testrunner.py
index c623b13..1245678 100644
--- a/Models/model_testrunner.py
+++ b/Models/model_testrunner.py
@@ -1,27 +1,3 @@
-# import sys
-# import os
-# import glob
-
-# from keras.layers.pooling import MaxPool2D 
-
-# sys.path.append('c:/git/keras')
-# sys.path.append('c:/git/absl')
-
-# installed 
-# py -mpip install numpy
-# py -mpip show numpy 
-# py -mpip install tensorflow
-# py -mpip show tensorflow
-# py -mpip install matplotlib
-# c:\users\skess\appdata\local\programs\python\python39\lib\site-packages
-
-# import keras
-# from keras.preprocessing.image import ImageDataGenerator
-# import numpy as np
-# import tensorflow
-
-#model_name='lenet5.h5'
-
 import sys
 import os
 import glob
@@ -52,7 +28,7 @@ model_name='Weights/resnet50_20241024_270.h5.keras'
 # This gets 6.3385902e-12 [0].  I kind of expect this.
 #image_path='C:/boneyard/DeepLearning/IndividualValidationCases/NVCR_0_Test_BollingerBand.jpg'
 
-# This gets a 0.  This is a good result because ABX_3_Training_BollingerBand.jpg exhibits the pattern we are looking for and is in teh Training set 
+# This gets a 0.  This is a good result because ABX_3_Training_BollingerBand.jpg exhibits the pattern we are looking for and is in the Training set 
 #image_path='C:/boneyard/DeepLearning/IndividualValidationCases/ABX_3_Training_BollingerBand.jpg'
 
 # This gets 0.9911055  This is a good result because SIG_0_Test_BollingerBand contains a downturn