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Bot allowing you "to book a train" built using Microsoft Framework from zero to language understanding using Machine Learning capabilities of LUIS. #NodeJS #Microsoft #BotFramework #AppInsights #LUIS #MachineLearning

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Bot built during a Microsoft Innovation Center session lead by Nik Trogh (Nik blog), 2016-09-14 .

Bot allowing you "to book a train" built using Microsoft Bot Framework from zero to language understanding using Machine Learning capabilities of LUIS. #NodeJS #Microsoft #BotFramework #AppInsights #LUIS #MachineLearning

Several exercices have been coded:

  • Exercise 1: Creating a HelloWorld bot
  • Exercise 2: Collecting input and building dialogs
  • Exercise 3: Returning results
  • Exercise 4: Determining Intent
  • Exercise 5: Adding global actions
  • Exercise 6: Integrating your bot with channels

Doing it yourself? https://aka.ms/handsonbots

Debug

  • node --debug-brk app.js

Prerequisite

  • ngrok
  • NodeJS
  • Visual Studio Code

.vscode/launch.json

ensure that you have the following content inside the launch.json file. Replace your keys inside the placeholders:

"configurations": [
        {
            "name": "Launch",
            "type": "node",
            "request": "launch",
            "program": "${workspaceRoot}/app.js",
            "stopOnEntry": false,
            "args": [],
            "cwd": "${workspaceRoot}",
            "preLaunchTask": null,
            "runtimeExecutable": null,
            "runtimeArgs": [
                "--nolazy"
            ],
            "env": {
                "NODE_ENV": "development",
                "MICROSOFT_APP_ID": "your_key",
                "MICROSOFT_APP_PASSWORD": "your_password",
                "LUIS_ENDPOINT": "https://api.projectoxford.ai/luis/v1/application?id=<your id>&subscription-key=<your key>",
                "NGROK": "https://<your sub domain>.ngrok.io",
                "APP_INSIGHT_INSTRUMENTATION_KEY": "<your key>"
            },
            "console": "internalConsole",
            "sourceMaps": false,
            "outDir": null
        }
        ...
    ]

Change logs

  • 2016-09-14
    • Add Application Insight
      • npm install applicationinsights --save
    • Exercise 6: Integrating your bot with channels
      • Task 1 – Use the ChatConnector
      • Task 2 – Run the bot locally ngrok http 3978
      • Task 3 – Register the bot in the developer portal - https://dev.botframework.com/bots?id=<name of the bot>
      • Task 4: run the chatbot locally in VS Code
      • Task 5: Test the chatbot
    • Exercise 5: Adding global actions
    • Exercise 4: Determining Intent
      • Task 1 – Determine intent using regular expressions
      • Task 2 – Create a language model with LUIS
      • Task 3 – Determine intent using LUIS
    • Exercise 3: Returning results
      • Task 1 – Returning an image attachment
      • Task 2 – Creating a rich card
    • Exercise 2 Collecting input and building dialogs
      • Task 1 – Collecting basic input - what's your name? Hello <name provided>!
      • Task 2 – Adding dialogs and memory - what's your name? Hello <name provided>!
        • users shares his train schedules, from/to location
    Exercise 1: Creating a HelloWorld bot
    • Task 1 – Installation
    • Task 2 – Create a HelloWorld bot
      • Answers Hello World, always
    • Task 3 – Debug locally with VSCode
      • node --debug-brk app.js

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Bot allowing you "to book a train" built using Microsoft Framework from zero to language understanding using Machine Learning capabilities of LUIS. #NodeJS #Microsoft #BotFramework #AppInsights #LUIS #MachineLearning

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