Deep Conversation

A tensorflow implementation of sequenceto sequence (seq2seq) model from Tensorflow. Deployed on Telegram (@alphanovabot)

Overview

This is the full code for Nova conversational API, 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 main.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 main.py

To deploy the bot after training, simply

python bot_main.py &

Contribution

Contrbution regarding dataset checkpoints woukd be accepted as it is a great help for those without a GPU.

Simply create a pull request and mention the changes.

License

Copyright 2017 Aniruddh Chandratre

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

   http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.