diff --git a/Models/model_host.py b/Models/model_host.py
index 486e68e..a52b0e8 100644
--- a/Models/model_host.py
+++ b/Models/model_host.py
@@ -10,13 +10,28 @@
 # This upgrades all modules
 #py -mpip freeze | %{$_.split('==')[0]} | %{py -mpip install --upgrade $_}
 
-# installed 
-# py -mpip install flask
-# py -mpip install numpy
+
+# I think all you need to do is the following to get CUDA to work with python.
+# 1) Install CUDA 11.8 Toolkit from here   
+#    https://developer.nvidia.com/cuda-11-8-0-download-archive?target_os=Windows&target_arch=x86_64&target_version=11&target_type=exe_local
+# 2) The binaries should wind up in C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\bin
+# 3) Put the above path in the PATH environment variable
+# 4) Also download cuDNN from here https://developer.nvidia.com/cudnn because tensorflow will look for cudnn64_8.dll which is i that package
+#    This download is just a bunch of DLLs with no install program.  I left it in downloads folder.
+# 5) put C:\download\cuDNN\cudnn-windows-x86_64-8.9.7.29_cuda11-archive\bin in the path
+# 6) Run the check_gpu.py program and ensure no errors loading DLLs
+
+
+
+
+# installed version
+# py -m pip install keras==2.6.0
+# py -mpip install flask==2.0.1
+# py -mpip install numpy==1.19.5
 # py -mpip show numpy 
-# py -mpip install tensorflow
+# py -mpip install tensorflow==2.6.0
 # py -mpip show tensorflow
-# py -mpip install matplotlib
+# py -mpip install matplotlib==3.4.3
 # c:\users\skess\appdata\local\programs\python\python39\lib\site-packages
 
 import keras