Simple chatbot implemented with a GRU recurrent sequence-to-sequence model with attention using Pytorch.
- Prepare your dataset
sentence1A\tsententence1B\n
sentence2A\tsententence2B\n
how are you?\tI'fine\n
...
Where sentenceNA is the input sequence ad sentenceNB is the target sentence. Make sure each line contains one pair and that each pair is sepated with a tab (\t).
If you want to use the predefined dataset run the command:
python CMDC_data_preprocessing.py -n "formatted_movie_lines.txt" -cl "data/cornell movie-dialogs corpus"
-n in the name of the new formatted dataset and cl is the location of the original corpus.
- Train your model
Run the following command to train and evaluate your model and save it in a new my_model directory.
python chatbot.py -mn "cornell_movie_dialogs_chatbot" -cl "data/cornell movie-dialogs corpus/formatted_movie_lines.txt -sd "my_model" -tr -ev
Many more options are available such as setting the input size, learning rate, attention method, load a previous trained model, ecc. You can use the command --help to visualize them.