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articles/ai-services/openai/concepts/use-your-data.md

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@@ -305,50 +305,51 @@ After you connect Azure OpenAI to your data, you can deploy it using the **Deplo
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This gives you multiple options for deploying your model.
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#### [Copilot](#tab/copilot)
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#### [Copilot (preview)](#tab/copilot)
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You can deploy to a copilot in [Copilot Studio](/microsoft-copilot-studio/fundamentals-what-is-copilot-studio) (preview) directly from Azure OpenAI studio, enabling you to bring conversational experiences to various channels such as: Microsoft Teams, websites, Dynamics 365, and other [Azure Bot Service channels](/microsoft-copilot-studio/publication-connect-bot-to-azure-bot-service-channels). The tenant used in the Azure OpenAI service and Copilot Studio (preview) should be the same. For more information, see [Use a connection to Azure OpenAI On Your Data](/microsoft-copilot-studio/nlu-generative-answers-azure-openai).
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> [!NOTE]
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> Deploying to a copilot in Copilot Studio (preview) is only available in US regions.
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#### [Teams app](#tab/teams)
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#### [Teams app (preview)](#tab/teams)
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You can deploy to a standalone Teams app (preview) directly from Azure OpenAI Studio, enabling you to bring conversational experience to your users in Teams to improve operational efficiency and democratize access of information. This Teams app is limited to users within a single tenant and personal chat (non-group chat) scenarios.
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A Teams app lets you bring conversational experience to your users in Teams to improve operational efficiency and democratize access of information. This Teams app feature is limited to users within a single tenant and personal chat (non-group chat) scenarios.
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As a developer, follow the steps below:
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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 prerequisite here
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* Tutorial - Build Custom Copilot - Teams | Microsoft Learn
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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 “custom app upload”
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* How to install the Azure CLI | Microsoft Learn
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* You have “Cognitive Service OpenAI user” role of the AOAI resource you are using
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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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1. After you have added your data, click “deploy” and then a Teams app(preview). Enter the name of your Teams app and download the zip file
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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. Extract the .zip file and open the folder in VSCode.
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1. 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
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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. Click “debug in Edge to run it locally only in your environment.
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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. After you have tested it locally, you can provision, deploy and finally 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 Azure portal and select the resource group, select the newly created Azure App Service
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1. Go to settings > identity, enable system assigned identity
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1. Click “Azure role assignments and click “add role assignments”.
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1. Scope: resource group
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1. Subscription: the subscription of your AOAI resource
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1. Resource group of your AOAI resource
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1. Role: Cognitive Service OpenAI user
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1. Go to the Azure portal and select the newly created Azure App Service
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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 to Azure: https://learn.microsoft.com/en-us/microsoftteams/platform/toolkit/deploy
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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 to Teams: https://learn.microsoft.com/en-us/microsoftteams/platform/toolkit/publish
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1. Publish your app to Teams: https://learn.microsoft.com/en-us/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).
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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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#### [Web app](#tab/web-app)
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