irdanish11 / EasySeq2Seq

This repository implements the a simple chat bot using Encoder Decoder Algorithm of RNN-Tensor-flow

easy_seq2seq

• Go to practical_seq2seq

An implementation of Seq2Seq that actually works. I want to make it easy for people to train their own seq2seq model with any corpus. I am also adding the parameters of my trained model for people to just use it without training. If you have a model that works share your model params here, as external link or do a pull request. I have used Cornell Movie Dialog Corpus to train my model. A link to preprocessed data and scripts for preprocessing can be found in this repo.

Have Fun!

Setup

• Create temporary working directory prior to training

mkdir working_dir

• Download test/train data from Cornell Movie Dialog Corpus

cd data/
bash pull_data.sh

Training

# edit seq2seq.ini file to set 
#		mode = train
python execute.py
# or use custom ini file
#		python execute.py my_custom_conf.ini

Testing

# edit seq2seq.ini file to set 
#		mode = test
python execute.py

Serve

# configuration : seq2seq_serve.ini
python ui/app.py
# wait until this message shows up
#		"Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)"
# open up the address in browser, chat with the bot