Chatbot

Supports diverse datasets like Cornell Movie Dialogs and OpenSubtitles, enabling training on varied dialogue styles directly from the README instructions.

Clear TensorFlow implementation allows easy experimentation with seq2seq improvements, such as adding attention or sampling mechanisms as highlighted in the improvements section.

Includes a Django-based UI with Redis for real-time deployment, providing a practical way to test chatbots interactively beyond command-line.

Allows use of external word embeddings to speed up training and enhance model performance, as documented in the data/embeddings section.