Tensorflow Chatbot

Chatbot made using tensor flow and trained using Cornell movie dialouge corpus .

Overview

This is the full code for 'How to Make an Amazing Tensorflow Chatbot Easily' by @Sirajology on Youtube. In this demo 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.

Dependencies

• numpy
• scipy
• six
• tensorflow (https://www.tensorflow.org/versions/r0.12/get_started/os_setup.html)

Use pip to install any missing dependencies

Usage

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

To run along with UI on your web browser :

• install flask on your venv
• open execute.py

comment this _conf_ints = [ (key, int(value)) for key,value in parser.items('ints') ] uncomment the assignement below it for _conf_ints

comment this _conf_floats = [ (key, float(value)) for key,value in parser.items('floats') ] uncomment the assignement below it for _conf_floats

comment this _conf_strings = [ (key, str(value)) for key,value in parser.items('strings') ] uncomment the assignement below it for _conf_strings

• run ui/app.py

Credits

Credit for the vast majority of code here goes to siraj and [suriyadeepan]