A seq2seq LSTM-based conversational model built with TensorFlow/Keras for general-purpose dialogue generation.
- Loads conversation pairs from YAML files
- Shared vocabulary with
<START>/<END>tokens - Encoder-Decoder architecture with LSTM layers
- Inference mode with greedy decoding
- Clean, modular Python package structure
pip install -r requirements.txt