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This project provides a docker container definition that allows deployment of a Virtual Assistant without having to install all the developer tool dependencies. All you need is Docker and an Azure subscription!
negativeeddy/VADeployer
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This project provides a Docker container definition that allows deployment of aVirtual Assistant without having to install all the dev tool dependencies on your local machine.
UPDATE: The Virtual Assistant Deployer is now available athttps://github.com/microsoft/Virtual-Assistant-Deployer/. All future updates will be done in that repo and will not be reflected here.
There are two options to quickly getting your Virtual Assistant up and running.
- Deploy with Visual Studio Online - This is the easiest and simplest and will all happen online. The only thing you need is an Azure Subscription.
- Deploy with Visual Studio Code locally - This option uses your locally installed VS Code and Docker to do the work.
After you have deployed the Virtual Assistant, you can test out!
- Open the Azure portal and navigate to the Resource Group that has the name of your bot
- Open the Web App Bot resource
- Select the Test in Web Chat tab
- Chat with your bot!NOTE: the first time you open the tab it may take a few moments as the entire app needs to start up for the first time
When you are done with your assistant
- Delete the Azure resource group
- Delete the application from Azure Active Directory. It has the same name as your bot.
The Virtual Assistant deployer clones theBot Framework Solutions repo when you start it up. So your assistant will be based on the latest version of the sample assistant.
This project welcomes contributions and suggestions from the community.
This project has adopted theMicrosoft Open Source Code of Conduct.For more information see theCode of Conduct FAQ orcontactopencode@microsoft.com with any additional questions or comments.
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This project provides a docker container definition that allows deployment of a Virtual Assistant without having to install all the developer tool dependencies. All you need is Docker and an Azure subscription!