> For the complete documentation index, see [llms.txt](https://docs.inogic.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.inogic.com/predict4dynamics/installation/installation-of-inowiz-prediction-builder.md).

# Installation of InoWiz Prediction Builder

To install InoWiz Prediction Builder follow the below steps:

### **Download the InoWiz Prediction Builder (Azure Managed Application)**

* Once you click on Install it will navigate you to the InoWiz Prediction Builder page, click Get it now to begin the deployment process.

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* A confirmation prompt appears — click Get it now again to confirm.

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### **Select Subscription and Create**

* Select your active Azure subscription from the subscription dropdown. (You must have an active subscription to proceed.)
* Click Create to continue to the deployment configuration UI.

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### **Basics Tab — Resource Group & Names**

* Create a new Resource Group OR select an existing Resource Group.&#x20;
* Important: If you select an existing resource group, it must be empty. If it contains resources, create a new resource group instead.
* Enter the Container App name and Managed Application name.

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**Note:** The Container App name will appear in the URL of the created container app — choose it carefully.
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### **OpenAI Service Configuration Tab**

Move to the Open AI service configuration tab. You will be prompted to choose an option (Yes / No).

**If you select Yes:**

* Assuming you already have existing Azure Open AI service with the deployed model\
  (note the model should be of type chat completion)
* After successful deployment of the InoWiz Prediction Builder, open the container apps.
* Go to the settings  > service connector, click on create in the basics tab > and keep the container the default selected one.
* Service type select OpenAI service keeps the connection name as is don’t make any changes there
* In the OpenAI dropdown, all your existing Azure OpenAI services will be listed. If you have an existing service, it will appear in that drop-down, so select it from there.

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After that, select the client type as python and then click next.

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Keep default settings for the Authentication & Networking tab.

Navigate to the  **Review + Create tab**, check all the filled details and settings, and click on the create button. This will deploy the existing Azure OpenAI service to the container app.

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After successful deployment, the Azure OpenAI service is now shown in the container apps **Settings > Service Connector.**

&#x20;Now, with the help of this connection, the container app can connect to the Azure OpenAI service.

<div data-with-frame="true"><figure><img src="/files/WRMN77rmxxcv6etD8Hgm" alt=""><figcaption></figcaption></figure></div>

**If you select No:**

* The InoWiz Prediction Builder will create an Azure AI service for you and deploy the model into that service automatically.
* From the dropdown, select the model you want to deploy and select/set the token for that model.
* Set the token value based on your requirements and the tokens available in your Azure subscription. (Ensure you have sufficient tokens/quota for the chosen model.)
* Click Next to proceed.

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### **Finalize Deployment**

* Review all configuration selections (subscription, resource group, container app name, OpenAI configuration, model and token, environment, owner).
* Complete the deployment (click **Create / Deploy** as applicable in the Azure UI).

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This will going to create a managed application in the selected Azure subscription. After successful deployment user must open the managed application.

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[Click here](/predict4dynamics/configuration/configure-inowiz-prediction-builder.md) to configure the InoWiz Prediction builder.

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For any queries, reach out to us at <crm@inogic.com>
{% endhint %}