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Build An Ai Powered Chat Experience With Winui Ai Assistview And Opena

Leo Migdal
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build an ai powered chat experience with winui ai assistview and opena

TL;DR: Let’s build an AI-powered chat app using Syncfusion WinUI AI AssistView control and OpenAI GPT. This blog guides you through setting up a WinUI project, integrating the OpenAI API to generate responses, and customizing the AI AssistView for an optimized user experience. By leveraging OpenAI GPT, the app delivers human-like conversational interactions, ideal for AI-driven chat solutions across various apps. Conversational AI is transforming user experiences across industries. This blog explores building an AI chat experience using Syncfusion WinUI AI AssistView control and OpenAI’s GPT model. The WinUI AI AssistView control simplifies developing AI-driven chat interfaces, handling user input, and switching templates efficiently.

Integrating OpenAI’s GPT enhances these interfaces by generating human-like responses, creating a dynamic conversational AI. The key features of the WinUI AI AssistView control are as follows: OpenAI’s GPT models are known for their ability to generate human-like text and engage users in meaningful conversations. By integrating GPT with the WinUI AI AssistView control, you can create a conversational AI that mimics real-world chat apps, enhancing the functionality and user experience. Access to this page requires authorization. You can try signing in or changing directories.

Access to this page requires authorization. You can try changing directories. In this how-to, you'll learn how to integrate OpenAI's API into your WinUI 3 / Windows App SDK desktop app. We'll build a chat-like interface that lets you generate responses to messages using OpenAI's text generation and prompting APIs: You create a new WinUI project in Visual Studio by following the steps in the Create and launch your first WinUI app section of the Start developing Windows apps article. For this example, enter ChatGPT_WinUI3 as the project name and ChatGPT_WinUI3 for the solution name when entering the project details in the dialog.

In order to use the OpenAI SDK, you'll need to set an environment variable with your API key. In this example, we'll use the OPENAI_API_KEY environment variable. Once you have your API key from the OpenAI developer dashboard, you can set the environment variable from the command line as follows: There was an error while loading. Please reload this page. This section explains about how to connect the AI AssistView with OpenAI.

To connect with OpenAI, we need the following details. Set the ViewModel as the DataContext for the AI AssistView or the parent window. This allows data binding between the UI and the ViewModel properties. Use the ViewTemplateSelector property to assign a DataTemplateSelector that controls how messages (including AI responses) are rendered in SfAIAssistView. The selector can return different DataTemplates based on the message type or role (user/assistant/system), enabling rich presentations such as: This approach lets you tailor the appearance of assistant messages without modifying your data model.

Access to this page requires authorization. You can try signing in or changing directories. Access to this page requires authorization. You can try changing directories. In this quickstart, you learn how to create a conversational .NET console chat app using an OpenAI or Azure OpenAI model. The app uses the Microsoft.Extensions.AI library so you can write code using AI abstractions rather than a specific SDK.

AI abstractions enable you to change the underlying AI model with minimal code changes. You can also use Semantic Kernel to accomplish the tasks in this article. Semantic Kernel is a lightweight, open-source SDK that lets you build AI agents and integrate the latest AI models into your .NET apps. Complete the following steps to create a .NET console app to connect to an AI model. This section explains the steps required to add the WinUI SfAIAssistView control with its basic features. Create a simple chat collection as shown in the following code example in a new class file.

Save it as ViewModel.cs file. Build an AI-Powered Chat Experience with WinUI AI AssistView and OpenAI (via Syncfusion). #ai #windowsdev #winui #dotnet #xaml #csharp #windowsappsdk #ux #openai Director, Client Strategy @ TELUS Digital | Business Development • Digital Product, Innovation, & AI Strategy Yet another foundational shift in genAI-powered discovery… still early to tell which features and flows from OpenAI’s new Atlas browser experience are here to stay, but one thing’s certain… If you want to remain... We live in wild times.

#data #genai #strategy #UX If AI is now the first to read your interface, who are you really designing for? This article looks at ChatGPT Atlas, the shift toward AI-mediated UX, and what happens when color and semantics become shared languages between humans and machines. https://lnkd.in/dmEXu79y #UXDesign #InclusiveDesign #AIDesign #ColorAccessibility #ChatGPTAtlas UX/UI Designer | Human-Centered Computing Grad Student @ UMBC | Figma, Flutter, Power BI | Passionate about AR/VR, AI Interfaces & Usability Research There was an error while loading.

Please reload this page. Access to this page requires authorization. You can try signing in or changing directories. Access to this page requires authorization. You can try changing directories. A collection of samples that demonstrate a variety of ways to enhance your Windows apps using local APIs and Machine Learning (ML) models, local hardware acceleration using DirectML, and cloud-based APIs.

When adding support for new AI features to your Windows app, we recommend that you first check for model availability. When using AI features, we recommend that you review: Developing Responsible Generative AI Applications and Features on Windows. Text Content Moderation is enabled across all Windows AI APIs to minimize potentially harmful content. Learn more: Content Safety Moderation with Microsoft Foundry on Windows. Access to this page requires authorization. You can try signing in or changing directories.

Access to this page requires authorization. You can try changing directories. Learn about the Windows AI API hardware requirements and how to configure your device to successfully build apps using the Windows AI APIs. Ensure that your PC supports Windows AI APIs and that all dependencies are installed. You can choose to do this automatically (recommended) or manually. Confirm that your device is a Copilot+ PC (we recommend the devices listed in the Copilot+ PCs developer guide).

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TL;DR: Let’s Build An AI-powered Chat App Using Syncfusion WinUI

TL;DR: Let’s build an AI-powered chat app using Syncfusion WinUI AI AssistView control and OpenAI GPT. This blog guides you through setting up a WinUI project, integrating the OpenAI API to generate responses, and customizing the AI AssistView for an optimized user experience. By leveraging OpenAI GPT, the app delivers human-like conversational interactions, ideal for AI-driven chat solutions acro...

Integrating OpenAI’s GPT Enhances These Interfaces By Generating Human-like Responses,

Integrating OpenAI’s GPT enhances these interfaces by generating human-like responses, creating a dynamic conversational AI. The key features of the WinUI AI AssistView control are as follows: OpenAI’s GPT models are known for their ability to generate human-like text and engage users in meaningful conversations. By integrating GPT with the WinUI AI AssistView control, you can create a conversatio...

Access To This Page Requires Authorization. You Can Try Changing

Access to this page requires authorization. You can try changing directories. In this how-to, you'll learn how to integrate OpenAI's API into your WinUI 3 / Windows App SDK desktop app. We'll build a chat-like interface that lets you generate responses to messages using OpenAI's text generation and prompting APIs: You create a new WinUI project in Visual Studio by following the steps in the Create...

In Order To Use The OpenAI SDK, You'll Need To

In order to use the OpenAI SDK, you'll need to set an environment variable with your API key. In this example, we'll use the OPENAI_API_KEY environment variable. Once you have your API key from the OpenAI developer dashboard, you can set the environment variable from the command line as follows: There was an error while loading. Please reload this page. This section explains about how to connect t...

To Connect With OpenAI, We Need The Following Details. Set

To connect with OpenAI, we need the following details. Set the ViewModel as the DataContext for the AI AssistView or the parent window. This allows data binding between the UI and the ViewModel properties. Use the ViewTemplateSelector property to assign a DataTemplateSelector that controls how messages (including AI responses) are rendered in SfAIAssistView. The selector can return different DataT...