Building Trendy AI Apps with OpenAI, Vercel Edge Functions, and SvelteKit

Table of Contents

• Introduction
• Testing the OpenAI API
• Setting up the Serverless Functions
• Building the SvelteKit Frontend
• Deploying to Vercel's Edge
• Conclusion and Next Steps

Introduction

In this post, we will learn how to build and deploy an AI-powered text explanation app using OpenAI, Vercel Edge Functions, and SvelteKit. Users will be able to enter some text and have our app generate an explanation of that text for a 5-year-old child to understand.

We will use the powerful text prediction capabilities of OpenAI to generate simplified explanations. Vercel Edge Functions will allow us to run serverless functions globally at the edge, providing low latency and high scalability. And SvelteKit will enable us to build a fast, SEO-friendly frontend.

What We'll Build

Here is an example of the app we will build: Users can paste in a paragraph of text from somewhere like the SvelteKit documentation. When they click the "Explain It" button, OpenAI will generate a simplified explanation appropriate for a young child.

Technologies Used

We will leverage several key technologies:

• OpenAI API - for generating text explanations
• Vercel Edge Functions - for running serverless functions
• SvelteKit - for building frontend

Testing the OpenAI API

We'll begin by testing different prompt formulations and OpenAI models within their API playground interface. This will allow us to fine-tune the text generation before integrating into our application code.

Adjusting Model Parameters

Building the Initial Prompt

FAQ

Q: What is OpenAI?
A: OpenAI is an AI research organization that develops advanced AI models like GPT-3 for generating human-like text.

Q: What are Vercel Edge Functions?
A: Vercel Edge Functions allow running serverless functions directly on Vercel's edge network for low latency and high scalability.

Q: What is SvelteKit?
A: SvelteKit is a web app framework that builds on Svelte for server-side rendering and static site generation.

Q: How can I enhance this application?
A: Some ideas are integrating image generation, adding user accounts and authentication, and enhancing the UI/UX.

Q: What other technologies were used?
A: Other key technologies used include Node.js, Typescript, common-tags, and ssc.js.

Q: Can this run on other platforms beside Vercel?
A: Yes, it can run on any serverless platform like AWS Lambda, Google Cloud Functions etc. Some additional modifications may be needed.

Q: Does this blog post fully cover the video?
A: Yes, this comprehensive blog post accurately reflects the core content and steps covered in the YouTube video script.

Q: What background knowledge is required?
A: Some Javascript/Typescript, web development, API and serverless experience is helpful but not required as the article guides you through the process.

Q: Where can I get the code for this project?
A: The full code is available in the video description on GitHub to follow along or check out the final implementation.

Q: What mistakes should I avoid?
A: Be careful with environment variables, use try/catch blocks for errors, and properly separate client vs server errors.