Place Finder assistant

This repository contains the code of the Rasa-powered Place Finder assistant.

Setup and installation

In order to run this assistant, you will need Rasa and a few additional dependencies. You can install them all by running the following command:

pip install rasa-x --extra-index-url https://pypi.rasa.com/simple

You also need to install a spaCy English language model. You can install it by running:

python -m spacy download en

What's in this repository

The repository consists of the following files and directories:

• data/nlu_data.md - training data examples for Rasa NLU model
• data/stories.md - training data examples for Rasa Core model
• actions.py the code of the custom action used to retrieve data from Google Places API.
• config.yml contains the configuration of NLU processing pipeline.
• ga_credentials.yml is a file where you should place your Google Places API key.
• domain.yml file contains the domain configuration of the assistant.
• endpoints.yml contains the webhook configuration for the custom action.
• ga_connector.py contains the code of Rasa-Google Assistant connector.
• credentials.yml is a file where you have to configure your custom connector.
• models is a directory which contains the pretrained models for you to test.

To run this assistant you will need a Google Place API key which you should provide inside the credentials.yml file of these directories.

Let us know how you are getting on!

If you have any questions regarding this repository, please post them on the Rasa Community Forum!