In this demo code, we implement Tensorflows Sequence to Sequence model to train a chatbot on the Cornell Movie Dialogue dataset.The dataset has been in the project. After training for a few hours, the bot is able to hold a fun conversation.
where are you? I ' m here .
how is going? Fine .
Can you think of it? I don ' t think so .
who is your father I ' m not sure .
what is time now? I don ' t know .
what the hell What ?
What are you doing now? I ' m going to get out .
- pytho3.52
- numpy
- scipy
- six
- tensorflow12 (https://www.tensorflow.org/versions/r0.12/get_started/os_setup.html)
Use pip to install any missing dependencies
Firstly, create an empty directory named woking_dir in the project.
To train the bot, edit the seq2seq.ini file so that mode is set to train like so
mode = train
then run the code like so
python execute.py
To test the bot during or after training, edit the seq2seq.ini file so that mode is set to test like so
mode = test
then run the code like so
python execute.py
###Due date: December 8th
Also see this issue, some people have found this discussion helpful llSourcell/tensorflow_chatbot#3
Credit for the vast majority of code here goes to suriyadeepan. I've merely created a wrapper to get people started.