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Copy file name to clipboardExpand all lines: blazor/ai-assistview/ai-integrations/gemini-integration.md
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# Integration of Gemini AI With Blazor AI AssistView component
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# Gemini AI With Blazor AI AssistView component
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The Syncfusion AI AssistView supports integration with [Gemini](https://ai.google.dev/gemini-api/docs/quickstart), enabling advanced conversational AI features in your applications.
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The Syncfusion AI AssistView supports integration with [Gemini](https://ai.google.dev/gemini-api/docs/quickstart), enabling advanced conversational AI features in applications.
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## Prerequisites
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* Google account to generate API key on accessing `Gemini AI`
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* Syncfusion AI AssistView for Blazor `Syncfusion.Blazor.InteractiveChat` installed in your project.
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* Google account to generate an API key for accessing [Gemini AI](https://ai.google.dev/gemini-api/docs/quickstart)
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* Syncfusion AI AssistView for Blazor package [Syncfusion.Blazor.InteractiveChat](https://www.nuget.org/packages/Syncfusion.Blazor.InteractiveChat) installed in the project.
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*[Markdig](https://www.nuget.org/packages/Markdig) package available in the project for Markdown-to-HTML conversion (required by the sample code).
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## Getting Started with the AI AssistView Component
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Before integrating Gemini AI, ensure that the Syncfusion AI AssistView is correctly rendered in your application:
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Before integrating Gemini AI, ensure that the Syncfusion AI AssistView renders correctly in the application and that prerequisites are met:
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[Blazor Getting Started Guide](../getting-started)
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[Blazor Getting Started Guide](../getting-started)
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## Install Dependencies
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Install the Syncfusion Blazor package in the application.
1. Go to [Google AI Studio](https://aistudio.google.com/app/apikey) and sign in with your Google account. If you don’t have one, create a new account.
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1. Go to [Google AI Studio](https://aistudio.google.com/app/api-keys) and sign in with a google account. Create a new account if needed.
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2.Once logged in, click on `Get API Key` from the left-hand menu or the top-right corner of the dashboard.
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2.Select `Get API key` from the left menu or the top-right of the dashboard.
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3.Click the `Create API Key` button. You’ll be prompted to either select an existing Google Cloud project or create a new one. Choose the appropriate option and proceed.
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3.Choose `Create API key`. Select an existing google cloud project or create a new one, then proceed.
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4. After selecting or creating a project, your API key will be generated and displayed. Copy the key and store it securely, as it will only be shown once.
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4. After creating or selecting a project, an API key is generated and displayed. Copy the key and store it securely, as it may be shown only once.
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> `Security Note`: Never commit the API key to version control. Use environment variables or a secret manager for production.
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> Security note: Do not commit API keys to version control. Use environment variables, a secret manager, or a server-side proxy in production.
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## Integration Gemini AI with AI AssistView
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## Gemini AI with AI AssistView
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* Add your generated `API Key` at the line
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* Add the generated API key in the following line.
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```bash
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Copy file name to clipboardExpand all lines: blazor/ai-assistview/ai-integrations/openai-integration.md
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# Integration of Azure OpenAI With Blazor AI AssistView component
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# Azure OpenAI With Blazor AI AssistView component
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The Syncfusion AI AssistView supports integration with [Azure Open AI](https://microsoft.github.io/PartnerResources/skilling/ai-ml-academy/resources/openai), enabling advanced conversational AI features in your applications.
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## Prerequisites
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- An Azure account with access to `Azure Open AI` services and a generated API key.
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- Syncfusion AI AssistView for Blazor `Syncfusion.Blazor.InteractiveChat` installed in the project
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- An Azure account with access to [Azure Open AI](https://microsoft.github.io/PartnerResources/skilling/ai-ml-academy/resources/openai) services and a generated API key.
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- Syncfusion AI AssistView for Blazor [Syncfusion.Blazor.InteractiveChat](https://www.nuget.org/packages/Syncfusion.Blazor.InteractiveChat) installed in the project
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## Getting Started with the AI AssistView Component
Install the Markdown rendering package used to convert model responses to HTML.
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Install the `Open AI` and `Markdig` nuget packages in the application.
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```bash
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1. Log in to the [Azure Portal](https://portal.azure.com/#home) and navigate to your Azure Open AI resource.
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2. Under Resource Management, select Keys and Endpoint to retrieve your API key and endpoint URL.
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2. Under Resource Management, select keys and endpoint to retrieve your API key and endpoint URL.
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3. Copy the API key, endpoint, and deployment name (e.g., gpt-4o-mini). Ensure the API version (e.g., 2024-07-01-preview) matches your resource configuration.
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3. Copy the API key, endpoint, and deployment name (e.g., gpt-4o-mini). Ensure the API version matches your resource configuration.
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4. Store these values securely, as they will be used in your application.
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> `Security Note`: expose your API key in client-side code for production applications. Use a server-side proxy or environment variables to manage sensitive information securely.
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## Integration Azure OpenAI with AI AssistView
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## Azure OpenAI with AI AssistView
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- Configure your Azure OpenAI endpoint, API key, and deployment name in your Program.cs (or using your preferred configuration mechanism).
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- Configure your Azure OpenAI endpoint, API key, and deployment name in your **Program.cs** (or using your preferred configuration mechanism).
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- Register the service for dependency injection.
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{% endhighlight %}
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{% endtabs %}
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