FlyMe

Chatbot that helps to book flights.

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

Use LUIS to implement core AI capabilities
Implement a multi-turn conversation using Dialogs
Handle user interruptions for such things as Help or Cancel
Prompt for and validate requests for information from the user
Use Application Insights to monitor the bot

Prerequisites

This sample requires prerequisites in order to run.

Overview

This bot uses LUIS, an AI based cognitive service, to implement language understanding and Application Insights, an extensible Application Performance Management (APM) service for web developers on multiple platforms.

LUIS Application to enable language understanding

This chat bot uses the LUIS Application to understand the customer request.

To connect the chat bot to LUIS Application, you have to specify the following environnement variable in a .env file :

Application ID: "LUIS_APP_ID"
Key: "LUIS_AUTHORING_KEY"
Endpoint url: "LUIS_AUTHORING_END_POINT"

Add Application Insights service to enable the bot monitoring

This appication also use the Azure Insight Instrumentation. To connect the bot to Insight, you have to define the following variable :

Insight key: "APPINSIGHTS_INSTRUMENTATION_KEY"

Application Insights resource creation steps can be found here.

To try this chat bot

In the terminal, type pip install -r requirements.txt
Run your bot with python app.py

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 latest Bot Framework Emulator 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

Gyslain/chatbot