Large-scale Pre-trained Language Models (PLMs), particularly those transformer-based, make text generation more diverse and fluent. However, because deep neural networks are not readily interpretable, these methods are not guaranteed to be controllable. So, Controllable Text Generation (CTG) using transformer-based PLMs is a trending research area.