praeclarumjj3 / RASA_toy

A toy implementation for developing a chatbot with RASA

IITR chatbot with RASA

Setup

• Update pip

$ pip3 install -U pip

• Setup the virtual environment

$ python3 -m venv ./venv
$ source ./venv/bin/activate

• Install RASA Open Source

$ pip3 install tensorflow
$ pip3 install rasa==2.0.0rc2

• Initialize a rasa project
• The CLI will ask you before training an initial chatbot. Don't train it for now.

$ mkdir rasa_bot
$ cd rasa_bot
$ rasa init

• Carry out any one of the following steps as a solution to this issue:

  1. First Method: Install a public tokenizer

     • Run locate convert_tokenizer.py and navigate to that location.
     • Open convert_tokenizer.py and replace the existing TF_HUB_MODULE_URL = (....) with TF_HUB_MODULE_URL = ("https://github.com/connorbrinton/polyai-models/releases/download/v1.0/model.tar.gz") and save it.

  2. Second Method: Use another tokenizer

     • Open config.yml file in your rasa_bot directory and replace ConveRTTokenizer with WhitespaceTokenizer.
     • Remove the ConveRTFeaturizer field.

• Talking to your chatbot: Open another terminal window and run the command:

$ rasa train
$ rasa run actions

• This will setup a local server for the custom actions to be executed.

$ rasa shell 

• You can run rasa shell nlu to see the intent ranking and confidence.

Happy Chatting!