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Création d'un chatbot utilisant Luis service cognitif Azure

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ChatBot

Bot Framework v4 core bot sample.

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 your bot

Prerequisites

This sample requires prerequisites in order to run.

Overview

This bot uses LUIS, an AI based cognitive service, to implement language understanding.

Create a LUIS Application to enable language understanding

The LUIS model can be found under CognitiveModels/FlightBooking.lu and the LUIS language model setup, training, and application configuration steps can be found here.

The folder "1-Extraction Data Luis" show you how to generate this model Once you created the LUIS model, update config.py with your LuisAppId, LuisAPIKey and LuisAPIHostName.

  "LuisAppId": "Your LUIS App Id",
  "LuisAPIKey": "Your LUIS Subscription key here",
  "LuisAPIHostName": "Your LUIS App region here (i.e: westus.api.cognitive.microsoft.com)"

Add Application Insights service to enable the bot monitoring

Application Insights resource creation steps can be found here.

To try this sample

  • Clone the repository
git clone https://github.com/Samadfilali/bot.git
  • Activate your desired virtual environment
  • 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

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