First published on MSDN on Oct 09, 2017
In my previous blog, I talked about creating
Enterprise-friendly Java clients for Machine Learning Server web-services
. In this blog, we will see how easily we can extend this Java client to (1) work with
Amazon's AWS Lambda
function and (2) call this lambda function from a
Amazon's Alexa
skill.
For this demo, I will assume that you have published a 'rainService' prediction service that takes a zipcode and returns a percentage number for rain prediction for that day.
Here is how the swagger for our service looks
. You can also find the code here:
AWS Lambda-Alexa-enabled Java client
for rainService.
1. Java Client with AWS Lambda function:
-
Install AWS Lambda SDK/ toolkit for your IDE. I used this for eclipse:
http://docs.aws.amazon.com/toolkit-for-eclipse/v1/user-guide/lambda.html
-
Create an AWS Lambda Java project
-
-
-
Make sure you select Input trigger as type "Custom"
-
-
Download swagger client for our service's swagger from
http://editor.swagger.io
. Extract the zip and copy the "io" folder under your Lambda project we just created.
-
Edit the handleRequest() method to login to Machine Learning Server, and get response from web server
-
-
-
Let's go ahead and build this project by running "maven install" in your IDE/command line. This will generate the JAR for your project.
-
You can now login to
https://console.aws.amazon.com/lambda
, create your lambda function and upload the JAR.
-
Congratulations! You have successfully used the Machine Learning Server 'web-services' from an AWS lambda function.
2. Use Machine Learning Server web service with Amazon's Alexa:
We can extend the Java client generated from step 1 to handle inputs from Amazon Alexa skill.
-
We will follow steps
https://developer.amazon.com/docs/custom-skills/handle-requests-sent-by-alexa.html
and create 2 additional classes
MySpeechlet.java
and
MlsDemoHandler.java
. These will help us process the inputs from Alexa skill.
-
Okay, our backend is now ready to handle requests from Alexa skill. Let's setup the Alexa skill now on
https://developer.amazon.com/edw/home.html#/skills
-
Enter Skill name and invocation details.
-
-
Save changes and copy the
Application ID.
You will need to copy this to your MlsDemoHandler.java class.
-
-
Let's recompile the Java client and upload the updated JAR file to our lambda function from step 1.
-
Continue making changes to the Alexa skills:
-
-
Specify the lambda function's ARN identifier in the Alexa skill as shown below.
-
-
We now test the skill on next screen:
-
-
At this stage, if your Alexa device is registered under same Amazon account, you can also test using your actual device.
-
Congratulations! You have successfully used Microsoft's Machine Learning Server web-service from your Amazon Alexa skill :) if you wish, you can go ahead and publish the skill for all Amazon Alexa users.
I am excited to see all the things that you can achieve using Microsoft Machine Learning Server to make your Alexa skills smarter! Happy coding :)