This is code for building chatbot using tensorflow.
In this code, we implement Tensorflows Sequence to Sequence model to train a chatbot on the Cornell Movie Dialogue dataset. After training for a few hours, the bot is able to hold a fun conversation.
- numpy
- scipy
- six
- It is must to install tensorflow 0.12.1version. Find installation instruction form here
Use pip to install any missing dependencies
You must run this code on python 2.7 version and tensorflow 0.12.1 version.
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
I have also upload the pretrained model which you can download and test the model.
For training I have used GPU Gforce 1060 6-GB. It take 1 hour in order to generate the sentences.
Credit for the majority of code here goes to suriyadeepan. I've merely created a wrapper to get people started.