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Copy file name to clipboardExpand all lines: articles/ai-services/openai/concepts/use-your-data.md
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@@ -319,37 +319,34 @@ A Teams app lets you bring conversational experience to your users in Teams to i
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You can deploy to a standalone Teams app directly from Azure OpenAI Studio. Follow the steps below:
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1. Make sure you have fulfilled the following prerequisites:
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*Tutorial - Build Custom Copilot - Teams | Microsoft Learn TBD
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*Sign in to you M365 account and enable “customapp upload”
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*[Install the Azure CLI](https://learn.microsoft.com/en-us/cli/azure/install-azure-cli)
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* Visual Studio Code installed
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* You have **Cognitive Service OpenAI user** role with the Azure OpenAI resource you're using.
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*Sign in to your M365 account (using this link to get a test account: [Developer program](https://developer.microsoft.com/microsoft-365/dev-program))
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*Enable **custom app upload** in your account (instructions [here](/microsoftteams/platform/concepts/build-and-test/prepare-your-o365-tenant#enable-custom-teams-apps-and-turn-on-custom-app-uploading))
*[Visual Studio Code](https://code.visualstudio.com/) installed
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* You have the **Cognitive Service OpenAI user** role with the Azure OpenAI resource you're using.
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1. After you've added your data to the chat model, select **Deploy** and then **a Teams app(preview)**. Enter the name of your Teams app and download the resulting .zip file.
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1. Extract the .zip file and open the folder in VSCode.
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1.(TBD) If you chose “API key” in data connection, manually copy and paste your Azure AI Search key in `src\prompts\chat\config.json` file. If you chose “system assigned managed identity”, you can skip this step. Learn more about different data connection options [here](https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/use-your-data?tabs=ai-search#data-connection).
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1. If you chose **API key** in the data connection step, manually copy and paste your Azure AI Search key into the `src\prompts\chat\config.json` file. If you chose **System assigned managed identity**, you can skip this step. Learn more about different data connection options in the [Data connection](/azure/ai-services/openai/concepts/use-your-data?tabs=ai-search#data-connection) section.
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1. Select the Run menu, and select **Debug (Edge)** to run the app locally only in your environment.
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1. Select the **Run** menu, and select **Debug (Edge)** to run the app locally in your environment. After you've tested it locally, you can provision, deploy, and publish your Teams app.
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1. After you've tested it locally, you can provision, deploy, and publish your Teams app.
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1. Provision your app: https://learn.microsoft.com/en-us/microsoftteams/platform/toolkit/provision
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1. Go to the Azure portal and select the newly created Azure App Service
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1. Provision your app: (detailed instructions in [Provision cloud resources](/microsoftteams/platform/toolkit/provision))
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1. Go to the Azure portal and select the newly created Azure App Service resource
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1. Go to **settings** -> **identity** -> **enable system assigned identity**
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1. Select **Azure role assignments** and then **add role assignments**. Specify the following parameters:
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* Scope: resource group
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* Subscription: the subscription of your Azure OpenAI resource
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* Resource group of your Azure OpenAI resource
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* Role: Cognitive Service OpenAI user
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1. Deploy your app to Azure: https://learn.microsoft.com/en-us/microsoftteams/platform/toolkit/deploy
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1. Publish your app to Teams: https://learn.microsoft.com/en-us/microsoftteams/platform/toolkit/publish
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1. Deploy your app to Azure by following the instructions in [Deploy to the cloud](/microsoftteams/platform/toolkit/deploy).
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1. Publish your app to Teams by following the instructions in [Publish Teams app](/microsoftteams/platform/toolkit/publish).
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See also [Tutorial - Build Custom Copilot](https://learn.microsoft.com/en-us/microsoftteams/platform/teams-ai-library-tutorial). TBD
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See also [Tutorial - Build Custom Copilot using Teams](/microsoftteams/platform/teams-ai-library-tutorial) for guided steps.
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