The example on how to implement simple chatbot using seq2seq model in the python using tensorflow 1.4 version. This Chatbot example shows the attention mechanism and bucketing as well.
I've used the Cornell Movie Dialogs corpuse for this example. You can download it: here
- Python version used in this project: 3.5+
- Pandas 0.18.0
- Numpy 1.10.4
- TensorFlow 1.4.0
The core seq2seq model functions are all insude model_utils.py.
Data preprocessing and NLP functions are inside cornell_data_utils.py.
If you want to play with models hyperparameters use config.py.
To run this project you will need some software, like Anaconda, which provides support for running .ipynb files (Jupyter Notebook).
After making sure you have that, you can run from a terminal or cmd next lines:
ipython notebook chatbot.ipynb
or
jupyter notebook chatbot.ipynb
IT License
Copyright (c) 2017 Luka Anicin
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
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