Introduction to the Google Assistant Library

AI-generated Key Takeaways

• The Google Assistant Library for Python is deprecated and the Google Assistant Service should be used instead.

• This library offers a turnkey solution for integrating the Assistant into projects, particularly on hardware like the Raspberry Pi 3.

• Developers can embed the Assistant by following a series of setup steps, including hardware configuration, audio testing, and device registration.

• The library can be extended to include Device Actions, enabling custom commands and interactions.

Warning: The Google Assistant Library for Python is deprecated as of June 28th, 2019. Use the Google Assistant Service instead.

The Google Assistant Library for Python is a turnkey solution for anyone who wants to quickly integrate the Assistant into a project. The library is written in Python and is supported on popular hardware such as the Raspberry Pi 3.

Note: Refer to the Compatibility and feature support table to see the differences between the Google Assistant Library and the service.

Get started

Once you have your hardware, read on to learn how to get the Google Assistant running on it!

Embed the Google Assistant

This section gets the Google Assistant Library working on your project:

1. Set Up Hardware and Network Access
2. Configure and Test the Audio
3. Configure a Developer Project and Account Settings
4. Register the Device Model
5. Install the SDK and Sample Code
6. Run the Sample Code
7. Next Steps

Extend the Google Assistant

This section extends the Google Assistant Library to include Device Actions:

1. Install Hardware
2. Register Traits
3. Handle Commands
4. Add More Traits and Handlers
5. Register Custom Device Actions