How do I deploy a model when using Stratified K fold?
k-fold CV is meant to evaluate the model. Once the evaluation is done and one is ready to move to deployment, there's no point using CV anymore: the method has been tested and validated, so one can reasonably assume that from now on applying the same method to the same kind of data will lead to the same level of performance. Thus the usual process is:

Train a final model on the full dataset (no CV, no testing)
Apply the model to new instances