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A weather bot which uses the MS Bot Framework and LUIS (Language Understanding Intelligent Service) for NLP.

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sjfbo/sobota-smart-bot

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Sobota, a not so smart bot

visual demo

This bot has been created using Bot Framework, it shows how to:

  • Use LUIS to implement core AI capabilities.
  • Sobota understands (within some limits) a user request (in English) to get the current weather in a city via the OpenWeatherMap API.

Note:

  • Some cities' names might not be recognized by LUIS, the default trained model that I improved a bit is still not so good for some less known cities.
  • Works perfectly well as a Slack application if you add a channel on your Azure web app for the bot!

Prerequisites

  • Node.js version 10.14 or higher
    # determine node version
    node --version

To run the bot locally

  • Download the bot code from the Build blade in the Azure Portal (make sure you click "Yes" when asked "Include app settings in the downloaded zip file?").
    • If you clicked "No" you will need to copy all the Application Settings properties from your App Service to your local .env file.
  • Install modules
    npm install
  • Run the bot
    npm start

Testing the bot using Bot Framework Emulator

Bot Framework Emulator is a desktop application that allows bot developers to test and debug their bots on localhost or running remotely through a tunnel.

  • Install the Bot Framework Emulator version 4.5.2 or greater from here

Connect to the bot using Bot Framework Emulator

  • Launch Bot Framework Emulator
  • File -> Open Bot
  • Enter a Bot URL of http://localhost:3978/api/messages

Deploy the bot to Azure

After creating the bot and testing it locally, you can deploy it to Azure to make it accessible from anywhere. To learn how, see Deploy your bot to Azure for a complete set of deployment instructions.

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A weather bot which uses the MS Bot Framework and LUIS (Language Understanding Intelligent Service) for NLP.

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