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Sara - the Rasa Demo Bot (Voice)

This repo contains the code for the Sara voice project. To run this example you will have to install the following:

How to use this demo

Right now the demo is pretty dumb - when the user sends an assistant a message, the bot runs STT on a example audio file called LDC93S1.wav and passes the result text the Rasa Stack. Once the stack makes a prediction on how to respond, the output is converted into a out.wav file and exported locally.

The main part where the integration between the Rasa Stack and Mozilla happens is a connector (socketio_mod.py file). For the sake of demonstration this is the same socetio file as a regular Rasa socketio connector, but to integrate it with Mozilla we modified the input channel method handle_message() and output channel method _send_message().

To run this example run:

  • python run_bot.py (this should load the Rasa bot on a server)
  • cd bot_ui (go to a directory which contains the example bot ui)
  • php -S localhost:8080 (start the UI on a local server and talk to you bot after navigating to http://localhost:8080)

🤖 How to install and run Sara

To install Sara, please clone the repo and run:

cd rasa-demo
pip install -e .

This will install the bot and all of its requirements. Note that it was written in Python 3 so might not work with PY2.

To train the core model: make train-core (this will take 2h+ and a significant amount of memory to train, if you want to train it faster, try the training command with --augmentation 0)

To train the NLU model: make train-nlu

To run Sara with both these models:

docker run -p 8000:8000 rasa/duckling
make run-cmdline

There are some custom actions that require connections to external services, specifically ActionSubscribeNewsletter and ActionStoreSalesInfo. For these to run you would need to have your own MailChimp newsletter and a Google sheet to connect to.

If you would like to run Sara on your website, follow the instructions here to place the chat widget on your website.

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