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Publish to Live Wednesday 4AM PST 01/31
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.openpublishing.publish.config.json

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"name": "docfx_v3"
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},
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"redirection_files": [
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".openpublishing.redirection.json",
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".openpublishing.redirection.azure-vmware.json",
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"articles/event-hubs/.openpublishing.redirection.event-hubs.json",
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.openpublishing.redirection.container-service.json

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articles/ai-services/computer-vision/how-to/call-analyze-image-40.md

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ms.service: azure-ai-vision
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ms.topic: how-to
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ms.date: 08/01/2023
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ms.custom: seodec18, references_regions, devx-track-python, devx-track-extended-java
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ms.custom: seodec18, references_regions, devx-track-python, devx-track-extended-java, devx-track-js
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zone_pivot_groups: programming-languages-computer-vision-40
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---
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articles/ai-services/computer-vision/how-to/model-customization.md

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ms.topic: how-to
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ms.date: 02/06/2023
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ms.custom: devx-track-python
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---
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# Create a custom Image Analysis model (preview)

articles/ai-services/computer-vision/quickstarts-sdk/image-analysis-client-library-40.md

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ms.topic: quickstart
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ms.custom: devx-track-python, devx-track-csharp, mode-api, devx-track-dotnet, devx-track-extended-java
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ms.custom: devx-track-python, devx-track-csharp, mode-api, devx-track-dotnet, devx-track-extended-java, devx-track-js
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zone_pivot_groups: programming-languages-computer-vision-40
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keywords: Azure AI Vision, Azure AI Vision service
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---

articles/ai-services/computer-vision/sdk/install-sdk.md

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ms.custom: devx-track-python, devx-track-csharp, devx-track-extended-java
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articles/ai-services/speech-service/personal-voice-how-to-use.md

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- The `speakerProfileId` property in SSML is used to specify the [speaker profile ID](./personal-voice-create-voice.md) for the personal voice.
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- The voice name is specified in the `name` property in SSML. For personal voice, the voice name must be set to `PhoenixV2Neural` or another supported base model voice name. To get a list of supported base model voice names, use the `BaseModels_List` operation of the custom voice API.
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- The voice name is specified in the `name` property in SSML. For personal voice, the voice name must be one of the supported base model voice names. To get a list of supported base model voice names, use the `BaseModels_List` operation of the custom voice API.
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> [!NOTE]
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> The voice names labeled with the `Latest`, such as `DragonLatestNeural` or `PhoenixLatestNeural`, will be updated from time to time; its performance may vary with updates for ongoing improvements. If you would like to use a stable version, select one labeled with a version number, such as `PhoenixV2Neural`.
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- `Dragon` is a base model with superior voice cloning similarity compared to `Phoenix`. `Phoenix` is a base model with more accurate pronunciation and lower latency than `Dragon`.  
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Here's example SSML in a request for text to speech with the voice name and the speaker profile ID.
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```xml
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<speak version='1.0' xmlns='http://www.w3.org/2001/10/synthesis' xmlns:mstts='http://www.w3.org/2001/mstts' xml:lang='en-US'>
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<voice name='PhoenixV2Neural'>
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<voice name='DragonLatestNeural'>
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<mstts:ttsembedding speakerProfileId='your speaker profile ID here'>
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I'm happy to hear that you find me amazing and that I have made your trip planning easier and more fun. 我很高兴听到你觉得我很了不起,我让你的旅行计划更轻松、更有趣。Je suis heureux d'apprendre que vous me trouvez incroyable et que j'ai rendu la planification de votre voyage plus facile et plus amusante.
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articles/ai-studio/how-to/create-manage-runtime.md

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On a flow page, you can use the following options to manage an automatic runtime:
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- **Install packages** triggers `pip install -r requirements.txt` in the flow folder. The process can take a few minutes, depending on the packages that you install.
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- **Install packages** Open `requirements.txt` in prompt flow UI, you can add packages in it.
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- **View installed packages** shows the packages that are installed in the runtime. It includes the packages baked to base image and packages specify in the `requirements.txt` file in the flow folder.
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- **Reset** deletes the current runtime and creates a new one with the same environment. If you encounter a package conflict, you can try this option.
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- **Edit** opens the runtime configuration page, where you can define the VM side and the idle time for the runtime.
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- **Stop** deletes the current runtime. If there's no active runtime on the underlying compute, the compute resource is also deleted.
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:::image type="content" source="../media/prompt-flow/how-to-create-manage-runtime/runtime-advanced-setting-msi.png" alt-text="Screenshot that shows the toggle for using a workspace user-assigned managed identity." lightbox = "../media/prompt-flow/how-to-create-manage-runtime/runtime-advanced-setting-msi.png":::
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#### Change the base image for automatic runtime (preview)
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By default, we use the latest prompt flow image as the base image. If you want to use a different base image, you need build your own base image, this docker image should be built from prompt flow base image that is `mcr.microsoft.com/azureml/promptflow/promptflow-runtime-stable:<newest_version>`. If possible use the [latest version of the base image](https://mcr.microsoft.com/v2/azureml/promptflow/promptflow-runtime-stable/tags/list). To use the new base image, you need to reset the runtime via the `reset` command. This process takes several minutes as it pulls the new base image and reinstalls packages.
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:::image type="content" source="../media/prompt-flow/how-to-create-manage-runtime/runtime-creation-automatic-image-flow-dag.png" alt-text="Screenshot of actions for customizing a base image for an automatic runtime on a flow page." lightbox = "../media/prompt-flow/how-to-create-manage-runtime/runtime-creation-automatic-image-flow-dag.png":::
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```yaml
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environment:
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image: <your-custom-image>
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python_requirements_txt: requirements.txt
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```
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Azure AI Studio gets regular updates to the base image (`mcr.microsoft.com/azureml/promptflow/promptflow-runtime-stable`) to include the latest features and bug fixes. To get the best experience and performance, periodically update your runtime to the [latest version](https://mcr.microsoft.com/v2/azureml/promptflow/promptflow-runtime-stable/tags/list).
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