Restaurant Bot

This example includes a file called run.py, which contains an example of how to use Rasa directly from your python code.

What’s inside this example?

This example contains some training data and the main files needed to build an assistant on your local machine. The restaurantbot consists of the following files:

data/nlu.md contains training examples for the NLU model
data/stories.md contains training stories for the Core model
actions.py contains some custom actions
config.yml contains the model configuration
domain.yml contains the domain of the assistant
endpoints.yml contains the webhook configuration for the custom action
policy.py contains a custom policy
run.py contains code to train a Rasa model and use it to parse some text

How to use this example?

Adapted with https://github.com/RasaHQ/tutorial-rasa-alexa/blob/master/alexa_connector.py.
To train your restaurant bot, execute

rasa train

This will store a zipped model file in models/.

To chat with the bot on the command line, run

rasa shell

Or you can start an action server plus a Rasa server by

rasa run actions
rasa run -m models --endpoints endpoints.yml

Linking to Alexa Skill

Given the ngrok url, concatenate the following suffix: webhooks/alexa_assistant/webhook

For more information about the individual commands, please check out our documentation.

Encountered any issues?

Let us know about it by posting on Rasa Community Forum!

Troubleshooting

If you experience any issue during the installation of Rasa, make sure that you have python 3.7.x installed. Python 3.8.x on Mac is not compatible with tensorflow yet. If while running

rasa train

If you see the following error

File "/usr/local/Cellar/python/3.6.5_1/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/questionary/constants.py", line 40, in <module>
    ('instruction', '')   # user instructions for select, rawselect, checkbox
TypeError: object() takes no parameters

Make sure you have installed the right package version and verify that your last installation of Rasa is pointing to the appropriate python environment. To check to what is pointing Rasa run

which rasa

Assuming it returns /usr/local/bin/rasa then do the following

cat /usr/local/bin/rasa

The first line specifies the reference python environment. Verify that it matches the active virtualenv. An example of the output of cat might be:

#!/Users/gt/VirtualEnvironments/vui_core_2/bin/python3.6

# -*- coding: utf-8 -*-
import re
import sys

from rasa.__main__ import main

if __name__ == '__main__':
    sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
    sys.exit(main())

In my case it was wrong and I had to add the following line at the beginning

#!/Users/gt/.pyenv/shims/python

giTorto / rasa-restaurantbot