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labs-chickenbot's Introduction

labs-chickenbot

Optimized for python 3.6 - Language changes subjected

This project aims in creating a chatbot for 'Museu da Pessoa'. The idea is use Telegram/WhatsApp/Facebook APIs to get all incoming messages, process it with NLP and intent recognition techniques (in market - IBM Watson or in house made API) and replies it as a person from the Museum's collection.


Credits and Support

Advisors and Supporters


Dependencies

For developers, python requirements could be find in the project's root. For installing the requirements, in your venv or anaconda env, just run the following command:

pip install -r requirements.txt


Project's Structure

.
└── labs-chickenbot
    ├── data
    │   └── credentials.json
    ├── docs
    │   ├── reference_articles
    │   ├── ...
    │   └── credits.txt
    ├── src
    │   ├── __init__.py
    │   └── bot.py
    ├── tests
    │   └── unittests
    │       ├── data
    │       └── __init__.py
    ├── .gitignore
    ├── LICENSE
    ├── README.md
    └── requirements.txt

Directory description

  • data: The data dir. Group of non-script support files.
  • docs: The documentation dir.
  • src: The scripts & source code dir.
  • tests: The unittests dir.

References

  • Telegram's API: link
  • Telegram's Documentation: link
  • WhatsApp's API: link

Usage Notes

Running

For running it, on the ~/src directory just run the follow command:

python bot.py

Notes

  • Instead of python, Node JS may be used.
  • Chickenbot is just a provisional name

Versioning

This project is under development.

Roadmap

It needed to:

  • Create the bot end - responsible for getting and replying messages.

    • Getting messages - almost done
    • Replying messages - almost done
  • Create the NLP end:

    • Use in house api?
      • Techniques:
        • Word Embeddings
        • Word2Vec
        • Word Histogram - word bag
    • Use in market api?
      • IBM Watson API

labs-chickenbot's People

Contributors

brunopaes avatar

Watchers

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