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articles/ai-services/content-safety/how-to/containers/install-run-container.md

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@@ -139,8 +139,9 @@ You can have this container and a different Azure AI container running on the HO
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> [!NOTE]
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> Use a unique port number if you're running multiple containers.
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> | Protocol | Host URL |
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> |--|--|
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>
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> |Protocol | Host URL |
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> |---|---|
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> | WS | `ws://localhost:5000` |
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> | HTTP | `http://localhost:5000` |
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articles/ai-services/content-safety/includes/quickstarts/rest-quickstart-image.md

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Choose a sample image to analyze, and download it to your device.
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See [Input requirements](./overview.md#input-requirements) for the image limitations. If your format is animated, the service will extract the first frame to do the analysis.
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See [Input requirements](../../overview.md#input-requirements) for the image limitations. If your format is animated, the service will extract the first frame to do the analysis.
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You can input your image by one of two methods: **local filestream** or **blob storage URL**.
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- **Local filestream** (recommended): Encode your image to base64. You can use a website like [codebeautify](https://codebeautify.org/image-to-base64-converter) to do the encoding. Then save the encoded string to a temporary location.

articles/ai-services/content-safety/limited-access.md

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author: PatrickFarley
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ms.author: pafarley
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manager: nitinme
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ms.topic: conceptual
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ms.service: azure-ai-speech
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ms.date: 09/23/2024
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---

articles/ai-services/content-safety/toc.yml

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- name: Install and run containers
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href: how-to/containers/install-run-container.md
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- name: Text analysis container
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href: how-to/containers/text-analysis.md
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href: how-to/containers/text-container.md
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- name: Image analysis container
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href: how-to/containers/image-analysis.md
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href: how-to/containers/image-container.md
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- name: Embedded Content Safety
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href: how-to/embedded-content-safety.md
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- name: Encryption of data at rest

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