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Update to WHAM Demonstrator documentation

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  1. wham_demonstrator/README.md +4 -4
wham_demonstrator/README.md CHANGED
@@ -8,12 +8,12 @@ Select if you will be running the server from AI Foundry (Azure AI Endpoint) or
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  You might need to click on Options for the Settings to be visible.
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  ![Figure 1](../assets/Demonstrator/Fig_01.png)
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- ## Entering Server IP Address and API Key (Azure AI Foundry)
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- If you have deployed your model in Azure AI Foundry. Enter the endpoint address as well as the API Key.
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- ![Figure 2](../assets/Demonstrator/Fig_02.png)
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-
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  ## Entering a Server IP Address (Local Deployment)
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  If you have deployed your own model using run_server.py. The model and API should be hosted on a server and port that is accessible to the app. Enter the IP address with port into the text box at the top left of the window, in the form `http://127.0.0.1:5000`.
 
 
 
 
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  ![Figure 3](../assets/Demonstrator/Fig_03.png)
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  ## Opening Starting Frames
 
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  You might need to click on Options for the Settings to be visible.
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  ![Figure 1](../assets/Demonstrator/Fig_01.png)
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  ## Entering a Server IP Address (Local Deployment)
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  If you have deployed your own model using run_server.py. The model and API should be hosted on a server and port that is accessible to the app. Enter the IP address with port into the text box at the top left of the window, in the form `http://127.0.0.1:5000`.
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+ ![Figure 2](../assets/Demonstrator/Fig_02.png)
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+
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+ ## Entering Server IP Address and API Key (Azure AI Foundry)
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+ If you have deployed your model in Azure AI Foundry. Enter the endpoint address as well as the API Key.
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  ![Figure 3](../assets/Demonstrator/Fig_03.png)
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  ## Opening Starting Frames