MirrorMirrorOnTheWallSkill

Mirror Mirror On The Wall

Build your own voice-controlled Magic Mirror Instructions

http://choosealicense.com/licenses/mit

Table of Contents

Prerequisites

*Windows users: You must have a Linux Bash Shell to do this Workshop. When you are installing Git, please follow these instructions to use the Unix tools from the Windows Command Prompt.

Magic Mirror

repo: MichMich/MagicMirror

We are using an open source MagicMirror² software platform that will allow you to convert your hallway or bathroom mirror into your personal assistant.

To toggle the (web) Developer Tools from mirror mode, use CTRL-SHIFT-I or ALT and select View.

Installation

  1. Open your command line

  2. Download the repository to your laptop

    git clone https://github.com/MichMich/MagicMirror.git

  3. Enter the repository

    cd MagicMirror/

  4. Install node libraries

    npm install

  5. Navigate to the config folder and rename config.js.sample to config.js

    cd config/

    mv config.js.sample config.js

  6. Run the app

    npm start

AWS IoT Core

We need to setup an AWS IoT Device Gateway. It works as a hub that will allow an Alexa Skill to send messages to it and a Magic Mirror to subscribe to new messages from it. This will let us control our Magic Mirror with our voice.

  1. Login to AWS Management Console

  2. Choose US East (N. Virginia) region

  3. Find IoT Core service

  4. Click on Onboard at the left menu bar, under Configuring a device, click on Get Started

  5. Click on Get Started

  6. Choose Linux/OSX platform, and Node.js

  7. Name your device MagicMirror

  8. Download credentials, aka connection kit

  9. Click on Next step

  10. Follow the instructions to run the start.sh script, which will generate a root-CA.crt

    • Note: Don’t worry about errors as long as you get a root-CA.crt file
    • Note note: You will need to copy the credential files here for Lambda function deployment later
  11. Go back to the AWS web page, click on Done

  12. Open the MagicMirror Thing you just created

  13. Click on Interact on the left menu bar, see the HTTPS Rest API Endpoint in the format of xxxxxxxxxxxxxxx.iot.us-east-1.amazonaws.com? You will need to copy this endpoint for Lambda function deployment later

Alexa Skill

In this section, we build the language model for our Alexa Skill by defining the commands that Alexa can recognize.

Configuration

  1. Go to the Alexa Developer Console

  2. Click on the Create Skill button.

  3. Name your Skill (any name is fine), select Custom model, and click the Create a skill button.

  4. Choose Start from scratch template

  5. Click on Invocation on the left menu bar. Set “magic mirror” as the invocation name (or any unique phrase). This is the phrase used to activate your skill. Save Model.

  6. Click on JSON Editor on the left menu bar. Delete everything in there.

  7. Go to InteractionModel.json in the speechAssets folder, and copy everything in the file, and paste it in JSON Editor. Save Model. Build Model

  8. Click on Endpoint on the left menu bar. Select AWS Lambda ARN. Copy your Skill ID to be used later in Lambda function deployment

AWS Lambda

repo: joanaz/MirrorMirrorOnTheWallSkill

In this section, we deploy our AWS Lambda function for our Alexa skill. Our Lambda function processes our voice commands and tells Alexa how to respond, and sends our commands to the AWS IoT Device Gateway.

Get Lambda function code ready

  1. Download the GitHub repository to your laptop

    git clone https://github.com/joanaz/MirrorMirrorOnTheWallSkill.git

  2. Install node libraries

    cd MirrorMirrorOnTheWallSkill/src/

    npm install

  3. Navigate to the certs folder and rename keys_sample.json to keys.json

    cd certs/

    mv keys_sample.json keys.json

  4. Copy the credential files generated in Section AWS IoT Core. Then open the local MirrorMirrorOnTheWallSkill folder you downloaded, go to src, then certs, paste your credential files here

  5. Open MirrorMirror.js in src folder with a text editor. Copy and paste your HTTPS Rest API Endpoint to line 17, replacing YOURID.iot.us-east-1.amazonaws.com

  6. Open index.js in src folder with a text editor. Copy and paste your Alexa Skill ID to line 18 for the variable APP_ID, replacing amzn1.ask.skill.YOURALEXASKILLID, and save the change

Dependencies

Here’s the list of node libraries you installed in the above step. If you are interested in learning more about them, you can go and check out their links.

keys.json

The keys.json file is where you put your Google Images Search and YouTube API keys.

// keys.json
{
    "cse": {
        "ID": "YOUR GOOGLE CUSTOM SEARCH ENGINE ID",
        "API_key": "YOUR GOOGLE PROJECT API KEY"
    },
    "youtube": {
        "API_key": "YOUR YOUTUBE API KEY"
    }
}

Deploy to AWS Lambda

  1. Go inside your local src directory, select all files and folders, then create a .ZIP file.
    • Note: Make sure the .ZIP file does not contain the src directory itself, otherwise Lambda function will not work.

  2. Go to the AWS Management Console

  3. Find Lambda service.
    • Note: make sure you are in the US East (N. Virginia) region or you won’t be able to use Alexa with Lambda.

  4. Click on the Create a Function button.

  5. Choose Author from scratch. Name the function (any name is fine).

  6. Keep “Create new role from template(s)” and enter a role name (any name is fine)

  7. Click on the Create function button.

  8. Under Add triggers menu on the left, click on Alexa Skills Kit

  9. Disable Skill ID Verification. Click Add button. Then scroll up and click the orange Save button

  10. Click on the box with your function name in the Designer section. Select Code entry type as “Upload a .ZIP file”

  11. Click on Upload button, then upload the zip file created in Step 1. Then Save

  12. Copy the ARN from the top right.

  13. Go back to the Alexa Developer Console, click on Endpoint on the left menu bar, and paste the ARN to Default Region. Click Save Endpoints

Test

You can now test your Alexa skill by going to the Test tab on the Alexa Developer Console and enabling testing. Type “start magic mirror” in the textbox and see what happens!

You can also test your Alexa skill on EchoSim, by saying “Alexa, ask magic mirror to say hello”.

Another testing tool is the Amazon Alexa website, where you can see each of your Alexa voice command and Alexa’s response. If you get the image command to work, you will see the image on the card too.

Magic Mirror Module

repo: joanaz/MMM-MirrorMirrorOnTheWall

We’re Finally up to the last step! We add the Magic Mirror Module to MagicMirror² which subscribes to incoming messages from the AWS IoT Device Gateway and displays text/images/video on the MagicMirror², and turns on/off other Magic Mirror Modules according to our commands.

  1. Navigate to the MagicMirror repo we downloaded in Section 1

    cd MagicMirror/modules/

  2. Download our Magic Mirror Module code inside the modules folder

    git clone https://github.com/joanaz/MMM-MirrorMirrorOnTheWall.git

  3. Install Node libraries

    cd MMM-MirrorMirrorOnTheWall/

    npm install

  4. Copy the certs folder in your Lambda function code (under MirrorMirrorOnTheWallSkill/src) to the MMM-MirrorMirrorOnTheWall folder

  5. Open MirrorMirror.js in MMM-MirrorMirrorOnTheWall folder with a text editor. Copy and paste your IoT Device HTTPS Rest API Endpoint to line 18, replacing YOURID.iot.us-east-1.amazonaws.com

  6. Copy below code and add it to MagicMirror/config/config.js

     // modules: [
     // ...
     {
         module: 'MMM-MirrorMirrorOnTheWall',
         position: "middle_center",
         config: {}
     },
     // ]
    

Have Fun!

Now you have completed all the steps! Congratulations!

You can invoke your Alexa skill by saying Alexa, start Magic Mirror. Next, you can say any of the following commands to trigger different actions on your Magic Mirror.

Display text

The text in {} will be displayed on Magic Mirror in bold.

Turn on/off Magic Mirror Modules

To turn on/off a Magic Mirror Module, it has to already be installed and configured in MagicMirror². You also have to map its official module name to a transcribable spoken name in ModuleNames.json. For example, we can map “MMM-Globe” to “globe”, or “currentweather” to “current weather”.

To turn on a Magic Mirror Module, say:

To turn off a Magic Mirror Module, say:

Note: To clear the text/images/video displayed by this module, you can simply turn this module off.

To turn on all Magic Mirror Module, say:

To turn off all Magic Mirror Module, say:

Display images

The text in {} will be searched by Google Image Search API, and the returned images will be displayed on your Magic Mirror with the text.

Display video

The text in {} will be searched by Youtube Data API, and the returned video will be displayed on your Magic Mirror, with the text. The YouTube video autoplays on a loop.

Bonus

Instructions on Setting up on Raspberry Pi