Getting Started with Blazor AI AssistView in Blazor WASM App

9 Sep 20267 minutes to read

This section briefly explains about how to include Blazor AI AssistView component in a Blazor WebAssembly App using Visual Studio, Visual Studio Code, and the .NET CLI.

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Using .NET CLI Templates

Quickly set up a Blazor application using the preconfigured Syncfusion WebAssembly App Template.

First, install the template using the .NET CLI.

dotnet new install Syncfusion.Blazor.WebAssemblyApp.Templates

Next, create a new project with following command.

dotnet new syncfusionblazorwasmapp --name MyApp --pwa true

After creating the project, navigate to the main project folder (for example, MyApp) and run the following command.

  • .NET CLI
    • cd MyApp
dotnet run

    Manually creating a new Blazor WebAssembly (Standalone) App

    Create a Blazor WebAssembly App using Visual Studio via Microsoft Templates or the Syncfusion® Blazor Extension. For detailed instructions, refer to the Blazor WebAssembly App Getting Started documentation.

    Run the following command to create a new Blazor WebAssembly App.

    dotnet new blazorwasm -o BlazorApp
cd BlazorApp

    Alternatively, create a Blazor WebAssembly App using Visual Studio Code via Microsoft Templates, the Syncfusion® Blazor Extension, or the C# Dev Kit extension.

    Install the required Blazor packages

    Install the Syncfusion.Blazor.InteractiveChat and Syncfusion.Blazor.Themes NuGet packages. All Syncfusion Blazor packages are available on nuget.org. See the NuGet packages topic for details.

    1. Go to Tools → NuGet Package Manager → Manage NuGet Packages for Solution.
    2. Search the required NuGet packages (Syncfusion.Blazor.InteractiveChat and Syncfusion.Blazor.Themes) and install them.

    Alternatively, you can install the same packages using the Package Manager Console with the following commands.

    Install-Package Syncfusion.Blazor.InteractiveChat -Version 35.1.37
Install-Package Syncfusion.Blazor.Themes -Version 35.1.37

    Open the terminal and run the following commands.

    dotnet add package Syncfusion.Blazor.InteractiveChat -v 35.1.37
dotnet add package Syncfusion.Blazor.Themes -v 35.1.37

    Add import namespaces

    After the packages are installed, open the ~/_Imports.razor file and import the Syncfusion.Blazor and Syncfusion.Blazor.InteractiveChat namespaces.

    @using Syncfusion.Blazor
@using Syncfusion.Blazor.InteractiveChat

    Register the Blazor service

    Open the Program.cs file in Blazor WebAssembly App and register the Blazor service and include the required namespace reference using Syncfusion.Blazor; at the top.

    builder.Services.AddSyncfusionBlazor();

    Add stylesheet and script resources

    The theme stylesheet and script can be accessed from NuGet through Static Web Assets. Include the stylesheet at the end of the <head> section in the ~wwwroot/index.html file.

    <link href="_content/Syncfusion.Blazor.Themes/fluent2.css" rel="stylesheet" />

    Include the required script references at the end of the <body> section in the ~wwwroot/index.html file to enable AI AssistView functionality.

    <script src="_content/Syncfusion.Blazor.Core/scripts/syncfusion-blazor.min.js" type="text/javascript"></script>

    Add Blazor AI AssistView component

    Open a Razor file located in the ~/Pages/*.razor (for example, Home.razor) and add the Blazor AI AssistView component inside the razor file. Use the PromptSuggestions property to add prompt suggestions and the PromptRequested event to generate responses based on the entered prompts.

    If the Interactivity Location is set to Global, the render mode is automatically configured in the App.razor file by default.

    @using Syncfusion.Blazor.InteractiveChat

<div class="aiassist-container" style="height: 350px; width: 650px;">
    <SfAIAssistView PromptSuggestions="@promptSuggestions"
                    PromptRequested="@PromptRequest">
    </SfAIAssistView>
</div>

@code {
List<string> promptSuggestions = new List<string>
{
"How do I prioritize my tasks?",
"How can I improve my time management skills?"
};

```
public class AssistModel
{
    public string Prompt { get; set; }
    public string Response { get; set; }
}

private List<AssistModel> prompts = new List<AssistModel>()
{
    new AssistModel()
    {
        Prompt = "How do I prioritize my tasks?",
        Response = "Prioritize tasks by urgency and impact: tackle high-impact tasks first, delegate when possible, and break large tasks into smaller steps. For more assistance, feel free to ask—I’m here to help!"
    },
    new AssistModel()
    {
        Prompt = "How can I improve my time management skills?",
        Response = "To improve time management skills, try setting clear goals, using a planner or digital tools, prioritizing tasks, breaking tasks into smaller steps, and minimizing distractions. Regularly review and adjust your approach for better efficiency."
    }
};

private async Task PromptRequest(AssistViewPromptRequestedEventArgs args)
{
    await Task.Delay(3000);

    var isPromptFound = prompts.Any(prompt => prompt.Prompt == args.Prompt);
    var promptData = prompts.FirstOrDefault(prompt => prompt.Prompt == args.Prompt);

    var defaultResponse = "For real-time prompt processing, connect the AI AssistView component to your preferred AI service, such as OpenAI or Azure Cognitive Services. Ensure you obtain the necessary API credentials to authenticate and enable seamless integration.";

    args.Response = isPromptFound ? promptData.Response : defaultResponse;
}
```

}

    Run the application

    Press Ctrl+F5 (Windows) or ⌘+F5 (macOS) to launch the application. The Blazor AI AssistView component will render in your default web browser.

    Open the terminal and run the following command.

    dotnet run
    Blazor AI AssistView default prompt

    Note: Starting from version 33.1x, when a user submits a prompt to the AI AssistView, the component automatically scrolls and focuses on the latest prompt and response. This behavior eliminates the need for users to manually scroll down to see the new response, ensuring they always view the most recent AI response without interruption. Prior to version 33.1x, the previous responses remained visible when new responses were added.

    View Sample in GitHub.