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@@ -192,11 +192,11 @@ To change the azd parameters from the default values, follow the steps [here](./
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4. Select a subscription from your Azure account, and select a location which has quota for all the resources.
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* This deployment will take *7-10 minutes* to provision the resources in your account.
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* If you get an error or timeout with deployment, changing the location can help, as there may be availability constraints for the resources.
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5. Once the deployment has completed successfully and you can deploy the AI model, run the bash command printed in the terminal. The bash command will look like the following:
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5. Once the infrastructure deployment completes successfully, you can proceed with deploying the AI model by running the bash command displayed in the terminal. The command will look similar to the following:
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```shell
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bash ./infra/scripts/deploy_ai_model.sh <Resource-Group-Name> <Solution-Name> <OpenAI-Model-Deployment-Type> <OpenAI-Deployment-Model> <OpenAI-Deployment-Model-Capacity> <OpenAI-Embedding-Model> <OpenAI-Embedding-Model-Capacity> <Managed-Identity-Client-ID>
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```
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6. Once the AI model deployment has completed successfully and you would like to use the sample data, run the bash command printed in the terminal. The bash command will look like the following:
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6. After the AI model deployment finishes, if you wish to load the sample data, you can then run the corresponding sample data processing command, which will also be shown in the terminal:
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```shell
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bash ./infra/scripts/process_sample_data.sh <Storage-Account-Name> <Storage-Container-Name> <Managed-Identity-Client-ID> <Key-Vault-Name> <SQLDB-Server> <SQLDB-Database> <Resource-Group-Name> <API-App-Managed-Identity-Client-ID> <API-App-Managed-Identity-Name>
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```

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