Create a basic CNN model in Keras with the following specifications:

Input shape: $(28,28,1)$

$2$D Convolutional layer with $32$ filters, kernel size of $(3,3),$ and $$relu$$ activation.

MaxPooling$2$D layer with pool size of $(2,2).$

Flatten layer to convert the $2$D output into a $1$D vector.

Dense layer with $128$ units and $$relu$$ activation.

Output layer with $10$ units and $$softmax$$ activation.

What is the total number of parameters in the model when it is modeled using Keras$/$TensorFlow$?$