This project implements a sequence-to-sequence model for generating Chinese couplets, a traditional poetic form. The model is trained on couplet datasets and uses encoder-decoder architecture with attention mechanisms. It provides both training scripts with TensorBoard logging and a web server for serving predictions. The project includes Docker support for deployment.