Projet 10 de ma formation d'ingénieur IA : Développez un chatbot pour réserver des vacances
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README-LUIS.md | 8 months ago | |
README.md | 7 months ago | |
adapter_with_error_handler.py | 8 months ago | |
app.py | 7 months ago | |
booking_details.py | 7 months ago | |
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Bot Framework v4 core bot sample.
This bot has been created using Bot Framework, it shows how to:
Help
or Cancel
This sample requires prerequisites in order to run.
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 language model setup, training, and application configuration steps can be found here.
If you wish to create a LUIS application via the CLI, these steps can be found in the README-LUIS.md.
Application Insights resource creation steps can be found here.
You must include the instrumentation key in the config.py
file, as well is in the designated field in your Azure Bot resource.
To log activity and personal information, extra code is needed in app.py
after the creation of the telemetry client. This code is already present in the sample, but must be unconmmented in order to function. It is important to note that due to privacy concerns, in a real-world application you must obtain user consent prior to logging this information.
The required code is as follows:
TELEMETRY_LOGGER_MIDDLEWARE = TelemetryLoggerMiddleware(telemetry_client=TELEMETRY_CLIENT, log_personal_information=True)
ADAPTER.use(TELEMETRY_LOGGER_MIDDLEWARE)
Clone the repository
git clone https://github.com/Microsoft/botbuilder-samples.git
In a terminal, navigate to botbuilder-samples\samples\python\21.corebot-app-insights
folder
Activate your desired virtual environment
In the terminal, type pip install -r requirements.txt
Run your bot with python app.py
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.
http://localhost:3978/api/messages
To learn more about deploying a bot to Azure, see Deploy your bot to Azure for a complete list of deployment instructions.