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After no answers here and several days of searching and trial and error, I have found the issue. In general, I guess this reshape error I was getting you can get if you are feeding the model with an image size other that it is expecting or setup to receive.

The issue is that, everything I have read says that typically you must feed the model with a 227 x 227 x 3 image. Then, I started noticing that size varies on some posts. Some people say 225 x 225 x 3, others say 250 x 250 x 3 and so on. I had tried those sizes as well with no luck.

As you can see in my edit in the question, I did have a clue. When using somebody else's pretrained model, my code works fine. However, when I use my custom model which I created on the Microsoft Azure CustomVision.ai site, I was getting this error.

So, I decided I would try to inspect the models to see what was different. I followed this post: Inspect a pre trained model

When I inspected the model that works using TensorBoard, I see that the input is 227 x 227 x 3 which is what I expected. However, when I viewed my model, I noticed that it was 224 x 224 x 3! I changed my code to resize the image to that size and it works! Problem went away.

So, to summarize, for some reason Microsoft Custom Vision service model generated a model to expect an image size of 224 x 224 x 3. I didn't see any documentation or setting for this. I also don't know if that number will change with each model. If you get a similar shape error, the first place I would check is the size of the image you are feeding your model and what it expects as an input. The good news is you can check your model, even if pre-trained, using TensorBoard and the post I linked above. Look at the input section, it should look something like this:

Hope this helps!

Ok, the 1st problem is the fact that you inverted 2 parameters in your QnaDialog declaration: