How to write decider function for multiple models

I have trained two classifiers .. Text Classification and Image Classification. So both models gives score for each class. For example there are 3 classes. Each model give array of 3 confidence score for each class.

I want to write some decider function to predict the final class based on these two model results. Dataset is very less around 100 observations.

What possible solution i can try.