Next.js with ChatGPT - Development Guide
Master ChatGPT integration with Next.js to build an AI-powered chatbot for learning React, Vue, and Svelte.
What is Next.js?
Next.js is a React-based framework that provides infrastructure and simple development experience for server-side rendered(SSR) & static page applications.
An intuitive page-based routing system (with support for dynamic routes)
Pre-rendering, both static generation (SSG) and server-side rendering (SSR), are supported on a per-page basis.
What is ChatGPT?
ChatGPT is a powerful AI language model created by OpenAI that can understand and respond to text inputs like a human. It has been trained on vast amounts of text data, making it a versatile tool for various language-based applications.
What are you going to work on?
Throughout the course, you will gain experience developing a Next JS application from the ground up. Additionally, you'll receive instruction on integrating OpenAI's ChatGPT to create a chatbot application that enables users to ask the AI any questions about a specific technology stack, such as a library, framework, or programming language that will be taught in the course. The ultimate goal of the course is to equip you with the skills necessary to create a functional chatbot app.
A big portion of the course is preparing the application layout, improving user experience, and getting everything together from scratch. Every part of the course is skippable, with the option to download the version of the project from any stage of the course.
The course covers a text completion from OpenAI, mostly used for Chatbots. The course doesn't focus on covering every topic of chatGPT but rather provides a practical development guide on how to integrate a bot into the Next JS application.
The course can be briefly summarized in these points:
Layout preparation - Several lectures are provided to prepare the application layout, with everything built from scratch. Each lecture is optional and can be skipped.
Components - Code parts are organized into components for better management.
API Route -An API route is established to handle user queries and provide ChatGPT's response.
ChatGPT - ChatGPT is initially integrated with a simple setup.
ChatGPT parameters - The parameters that influence AI decisions are explained.
Markdown - The response generated by ChatGPT is formatted in Markdown.
Sessions - Although the course doesn't cover authentication, different user scenarios are simulated using sessions/cookies.
In-memory DB - The application uses lowDB as an in-memory database for data storage.
AI memory - Chat history is stored in an in-memory database, enabling the AI model to access more context.
Personalize AI - Each chatbot has a unique personality and specific knowledge of a framework.
Deployment - The application will be deployed on Vercel.
While working on the features above, the students will learn and understand ChatGPT features and parameters. They will know how to architecture applications and will be able to create their applications with Next JS and ChatGPT integration.
Base knowledge of Next JS or React JS.
Course PreviewFREE PREVIEW
What to expect from courseFREE PREVIEW
Tips and Tricks Github
Init ProjectFREE PREVIEW
Json data and assets
Render StacksFREE PREVIEW
Border hover classes
Textarea for prompt
Move code to components
Different classes for messages
Handle prompt value
Scroll to bottom
Completion Api route
Send data to Api
Get response from request
Add ai message
Typewriter effectFREE PREVIEW
OpenAI Account + Api keys
Make better prompt
Use Effect Fix
Fix typewriter styles
Set active session
Init iron sessions
Api endpoint to store session
Storing user in session
Retrieve user in Post endpoint
Fetch user client side
Move fetch user to hook
Display uid in ui
Set active session on reload
Select default session
Store message history
Save data to DB
Feed history to chatGPT
Message history memory size
Clear history on chat enter
Handle case when no messages
Deploy app to vercel
Store in-memory & Course Finish
Every video contains a discussion where you can create a post describing an issue. The instructor usually responds within 1 business day.
Within 30 days of the purchase, you can ask for a full refund. No questions asked. Your happiness is our priority.
Of course not! Every lecture is committed (explained in the introduction section). You can start watching any lecture. Just download the correct project version attached to the lecture resources.
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