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articles/ai-services/computer-vision/includes/face-environment-variables.md

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[!INCLUDE [find key and endpoint](./find-key.md)]
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To set the environment variable for your key and endpoint, open a console window and follow the instructions for your operating system and development environment.
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To set the environment variable for your key and endpoint, open a console window and complete the instructions that follow for your operating system and development environment.
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- To set the `FACE_APIKEY` environment variable, replace `<your_key>` with one of the keys for your resource.
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- To set the `FACE_ENDPOINT` environment variable, replace `<your_endpoint>` with the endpoint for your resource.

articles/ai-services/computer-vision/includes/find-key.md

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ms.author: pafarley
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---
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Go to the Azure portal. If the resource you created in the **Prerequisites** section deployed successfully, select **Go to resource** under **Next Steps**. You can find your key and endpoint under **Resource Management** in the **Keys and Endpoint** page. Your resource key isn't the same as your Azure subscription ID.
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Go to the Azure portal. If the resource you created in the **Prerequisites** section deployed successfully, select **Go to resource** under **Next Steps**. You can find your key and endpoint under **Resource Management** on the **Keys and Endpoint** page of the Face resource. Your resource key isn't the same as your Azure subscription ID.

articles/ai-services/computer-vision/includes/quickstarts-sdk/identity-javascript-sdk.md

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ms.author: pafarley
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Get started with facial recognition using the Face client library for JavaScript. Follow these steps to install the package and try out the example code for basic tasks. The Face service provides you with access to advanced algorithms for detecting and recognizing human faces in images. Follow these steps to install the package and try out the example code for basic face identification using remote images.
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Get started with facial recognition using the Face client library for JavaScript. The Face service provides you with access to advanced algorithms for detecting and recognizing human faces in images. Follow these steps to install the package and try out the example code for basic face identification using remote images.
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[Reference documentation](https://aka.ms/azsdk-javascript-face-ref) | [Library source code](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/face/ai-vision-face-rest) | [Package (npm)](https://www.npmjs.com/package/@azure-rest/ai-vision-face) | [Samples](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/face/ai-vision-face-rest/samples)
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Your app's `package.json` file is updated with the dependencies.
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1. Create a file named `index.js`, open it in a text editor, and paste in the following code:
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1. Create a file named `index.js`, open it in a text editor, paste in the following code, and save it to the folder that contains the app.
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> [!NOTE]
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> If you haven't received access to the Face service using the [intake form](https://aka.ms/facerecognition), some of these functions won't work.

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