Book Image

Google Cloud AI Services Quick Start Guide

By : Arvind Ravulavaru
Book Image

Google Cloud AI Services Quick Start Guide

By: Arvind Ravulavaru

Overview of this book

<p>Cognitive services are the new way of adding intelligence to applications and services. Now we can use Artificial Intelligence as a service that can be consumed by any application or other service, to add smartness and make the end result more practical and useful.</p> <p>Google Cloud AI enables you to consume Artificial Intelligence within your applications, from a REST API.  Text, video and speech analysis are among the powerful machine learning features that can be used. This book is the easiest way to get started with the Google Cloud AI services suite and open up the world of smarter applications.</p> <p>This book will help you build a Smart Exchange, a forum application that will let you upload videos, images and perform text to speech conversions and translation services. You will use the power of Google Cloud AI Services to make our simple forum application smart by validating the images, videos, and text provided by users to Google Cloud AI Services and make sure the content which is uploaded follows the forum standards, without a human curator involvement.</p> <p>You will learn how to work with the Vision API, Video Intelligence API, Speech Recognition API, Cloud Language Process, and Cloud Translation API services to make your application smarter.</p> <p>By the end of this book, you will have a strong understanding of working with Google Cloud AI Services, and be well on the way to building smarter applications.</p>
Table of Contents (9 chapters)

Deploying to Heroku

This step is optional and you can do it if you are interested in deploying this app to Heroku. To continue with this section, you need to have set up a Heroku account and installed the Heroku Toolbelt. Once that is done, open a new Command Prompt or Terminal inside the smart-exchange-base folder, and then run:

$ heroku login

This will prompt for the Heroku credentials that you signed up with. Next, let's get our application ready for deployment. Run this:

$ npm run build

Or run this:

$ yarn build

This will run the scripts required to build the final dist folder, which will be deployed to Heroku. Once the build is completed, run the following:

$ git add -A
$ git commit -am "Vision API Integration Commit"

Let's push the code to Heroku. Run this:

$ git push heroku master

If everything goes well, the code will be uploaded to Heroku and you should...