Ĭlick “done.” There’s no need to click download here as we only need the client secret, which we will download next.Under “product name shown to users” enter “My Google Assistant.” Click continue. Once done picking a name, click “create client ID.” Name the Client ID anything you want, for example, your name + Desktop. Google should recommend that you create an OAuth 2.0 client ID. For “what data will you be accessing” select the “User data” circle. Under “where will you be calling the API from”, select “Other UI (e.g. This will take you to a setup wizard page where Google helps you figure out what kind of credentials you need to use this API. Click “Create credentials” in the top right. Google will warn you that you need to create credentials to use this API. Ĭlick this link to go straight to the Google Assistant API page.After it is done creating your Project, you will be brought to your Project’s configuration page. You should see a spinning progress icon in the top right. Wait a few seconds for the Console to create your new Project. Name the Project “My Google Assistant” and click “Create.” Go to the Projects page in the Google Cloud Platform Console.All of these steps are platform independent, meaning that the steps are the same for Windows, macOS, and GNU/Linux OS. What follows are step-by-step instructions walking you through the process to enable the Google Assistant API in the Cloud Platform Console so you can access Google Assistant through the Python program.
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