Gpt-4o chat app built with Vercel AI SDK + Next JS with streaming responses

The video demonstrates building a chat app using OpenAI GPT or any other provider, Next.js, and Vercel AI SDK in under 3 minutes, showcasing the simplicity of development with Next.js and the powerful features of Vercel AI SDK for handling AI responses. The presenter also mentions exploring more advanced features of the chat app in a future video and offers additional resources on their Patreon page for building AI-powered applications efficiently.

In the video, the presenter demonstrates building a chat app using OpenAI GPT or any other provider, Next.js, and Vercel AI SDK in under 3 minutes. They mention the impressive UI generation feature of Vercel that uses Shadan UI library to create React components automatically. The presenter emphasizes the simplicity of using Next.js for building AI-powered applications and encourages viewers to consider exploring it further. They also mention creating a more complex version of the chat app with conversation history using Vercel AI SDK and plan to cover it in a separate video.

The presenter explains the project structure of a Next.js app, focusing on the app folder and key files like route.ts and page.tsx. They walk through the process of initializing a Next.js project, setting up TypeScript, and starting the development server. The discussion touches on using file-based routing in Next.js for defining routes and creating API endpoints. The presenter creates an API folder and sets up an API route handler for the chat functionality, utilizing the Vercel AI SDK with OpenAI support.

The video covers the installation of the Vercel AI SDK, including OpenAI support, and demonstrates setting up the chat endpoint to make calls to GPT-4 Omni for streaming responses. The presenter showcases the simplicity of the chat interface, displaying user and AI responses in a single window. They customize the appearance of the chat interface by adjusting colors and layout. Additionally, the presenter highlights the option to make user and AI responses colorful and position them on opposite sides of the window for a better visual experience.

The presenter discusses the benefits of becoming a patron to access code files, courses, and masterclasses related to building AI-powered apps efficiently. They explain the importance of leveraging Vercel AI SDK for handling AI responses and demonstrate the use of Shadan UI library for generating UI components automatically. The presenter showcases the capability of generating a chat UI component using Vercel’s UI generation feature. They mention exploring additional instructions and iterations with the generated UI component.

In conclusion, the video provides a comprehensive overview of building a chat app with AI capabilities using Vercel AI SDK and Next.js. The presenter emphasizes the ease of development with Next.js and the powerful features of Vercel AI SDK for handling AI responses. They encourage viewers to explore the possibilities of building AI-powered applications with Next.js and Vercel. The video also hints at future content covering more advanced features and functionalities of the chat app, along with the availability of related resources on the presenter’s Patreon page.