ChatGPT Clone with REACT! (Next.js 13, Firebase, Tailwind CSS, TypeScript, API endpoints in Next.js, ChatGPT models, Dynamic page routing in Next.js 13, App folder structure, NextAuth.js, Google Authentication)

To run this project, you will need to add the following environment variables to your .env file

npx create-next-app@latest my-project --typescript cd my-project

Install tailwindcss and its peer dependencies via npm, and then run the init command to generate both tailwind.config.js and postcss.config.js.

npm install -D tailwindcss postcss autoprefixer npx tailwindcss init -p

Add the paths to all of your template files in your tailwind.config.js file.


/** @type {import('tailwindcss').Config} */ module.exports = { content: [ "./app/**/*.{js,ts,jsx,tsx}", "./pages/**/*.{js,ts,jsx,tsx}", "./components/**/*.{js,ts,jsx,tsx}", // Or if using `src` directory: "./src/**/*.{js,ts,jsx,tsx}", ], theme: { extend: {}, }, plugins: [], }

Add the @tailwind directives for each of Tailwind’s layers to your ./styles/globals.css file.

@tailwind base; @tailwind components; @tailwind utilities;

git clone https://github.com/SashenJayathilaka/ChatGPT-Clone.git npm install

Start the server First, run the development server:

You can start editing the page by modifying pages/index.js. The page auto-updates as you edit the file.

. This endpoint can be edited in pages/api/hello.js.

The pages/api directory is mapped to /api/*. Files in this directory are treated as 

To learn more about Next.js, take a look at the following resources:

 - your feedback and contributions are welcome!

The easiest way to deploy your Next.js app is to use the 

 deployments of Whisper on serverless GPUs. This is a great way to demo your deployments. Feel free to make it your own. Simply enter your API keys in .env.local and go bananas! 🎉

Create a .env.local file with BANANA_API_KEY=your_api_key and BANANA_MODEL_KEY=your_model_key.

. This endpoint uses the Banana API keys you provide and can be edited at pages/api/whisper.js.

To learn more about Banana, take a look at the following resources:

 - the world's easiest way to deploy Whisper on serverless GPUs.

Next.js app for serverless deployments of OpenAI Whisper on Banana.dev

Next JS Chat OpenAI Built with Next JS, OpenAI, Tailwindcss, Zustand and AutoAnimate

Run the following command on your local environment:

git clone https://github.com/hadi-16/nextjs-chat-openai.git your-project-name cd your-project-name npm install

structure folder app ├── components # Components folder ├── pages # Next JS Pages ├── public # Public assets folder ├── store # Store folder ├── styles # Next JS Style ├── README.md # README file ├── tailwind.config.js # Tailwind CSS configuration ├── .env # Next JS environment variables

ChatGPT built with Next.js 13 app directory and Tailwind CSS using OpenAI's API and SSR streaming for data with edge functions.

You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.

. This endpoint can be edited in pages/api/hello.ts.

 to automatically optimize and load Inter, a custom Google Font.

This simple tool generates article ideas for your blog or website. It's a great way to get started with your content marketing strategy.

Enter any related keyword to the topic you have in mind and click Enter.
Optional: click on the Enable SEO and CLickbait feature to get some ideas that would easily rank on search engines

Four different article ideas will be generated; copy any of the generated article idea

Paste it into your favourite content editor

 features are used in this application. Based on the user's input, it creates a prompt, sends it to the GPT-3 API using a Vercel Edge function, and streams the response back to the application.

 to make an account and generate your API key

Rename the .env.example file on the root of the project to .env, then paste your API key in the .env file

Run npm install to install all the dependencies

Article Idea Generator Powered by OpenAI.

A Next.js application that uses OpenAI to give destination suggestions based on the countries you have already visited.

Next.js + OpenAI API ChatGPT, This example shows how to implement a simple chat bot using Next.js and OpenAI API.

npm install npm run dev # or yarn yarn dev

Read Pilot analyzes online articles and generate Q&A cards for you.

analyze online articles and generate Q&A cards with open-ai and next.js

Open ended conversation with an AI assistant. Trying out NextJs with open ai chatbot

You can start editing the page by modifying pages/index.tsx. The page auto-updates as you edit the file.

ChatBot with NextJS, OpenAI GPT-3 and Serverless functions for APIs. You can choose and compare engines!

Chat with GPT is an open-source, unofficial ChatGPT app with extra features and more ways to customize your experience. It connects ChatGPT with ElevenLabs to give ChatGPT a realistic human voice.

Powered by the new ChatGPT API from OpenAI, this app has been developed using TypeScript + React. We welcome pull requests from the community!

📄 View and customize the System Prompt - the 

 the system shows the AI before your messages.

 of responses by setting the Temperature setting. Higher temperature means more creativity.

 by connecting your ElevenLabs text-to-speech account.

 your favorite chat sessions online using public share URLs.

🫰 Pay for only what you use with the ChatGPT API.

To get started with Chat with GPT, you will need to add your OpenAI API key on the settings screen. Click "Connect your OpenAI account to get started" on the home page to begin. Once you have added your API key, you can start chatting with ChatGPT.

Your API key is stored only on your device and is never transmitted to anyone except OpenAI. Please note that OpenAI API key usage is billed at a pay-as-you-go rate, separate from your ChatGPT subscription.

To use the realistic AI text-to-speech feature, you will need to add your ElevenLabs API key by clicking "Play" next to any message.

Your API key is stored only on your device and never transmitted to anyone except ElevenLabs.

First, you'll need to have Git installed on your computer. If you don't have it installed already, you can download it from the official Git website: 

Once Git is installed, you can clone the Chat with GPT repository by running the following command in your terminal or command prompt:

git clone https://github.com/cogentapps/chat-with-gpt.git

Next, you'll need to have Node.js and npm (Node Package Manager) installed on your computer. You can download the latest version of Node.js from the official Node.js website: 

Once Node.js is installed, navigate to the root directory of the Chat with GPT repository in your terminal or command prompt and run the following command to install the required dependencies:

This will install all the required dependencies specified in the package.json file.

Finally, run the following command to start the development server:

This will start the development server on port 3000. You can then open your web browser and navigate to 

 to view the Chat with GPT webapp running locally on your computer.

Chat with GPT is licensed under the MIT license. See the LICENSE file for more information.

An open-source ChatGPT app with a voice, using TypeScript and React

Adds hooks and components for working with OpenAI streams.

nextjs-openai includes frontend tools, and openai-streams includes tools for working with OpenAI streams in your API Routes.

yarn add nextjs-openai openai-streams # -or- npm i --save nextjs-openai openai-streams

useBuffer() and useTextBuffer() are used to load an incrementing buffer of data (and text) from a given URL.

import { useTextBuffer } from "nextjs-openai"; export default function Demo() { const { buffer, refresh, cancel, done } = useTextBuffer({ url: "/api/demo" }); return ( <div> <StreamingText buffer={buffer} fade={600} /> <button onClick={refresh} disabled={!done}>Refresh</button> <button onClick={cancel} disabled={done}>Cancel</button> </div> ); }

<StreamingText> and <StreamingTextURL> render text from a stream buffer using a fade-in animation.

import { StreamingTextURL } from "nextjs-openai"; export default function Demo() { return ( <StreamingTextURL url="/api/demo" fade={600} throttle={100} /> ); }

If you would like to change the type of network request made with <StreamingTextURL> or the useBuffer() and useTextBuffer() hooks, you can set the { method, data } options.

{ data } is sent as the POST request body by default. To use a GET request, set { method = "GET" } and manually set the URL search params on { url }.

import { StreamingTextURL } from "nextjs-openai"; export default function Home() { const [data, setData] = useState({ name: "John" }); // ... return ( <StreamingTextURL url="/api/demo" data={data}> ); }

import { useTextBuffer, StreamingText } from "nextjs-openai"; export default function Home() { const [data, setData] = useState({ name: "John" }); const { buffer, refresh, cancel } = useTextBuffer({ url: "/api/demo", throttle: 100, data, }); // ... return ( <StreamingText buffer={buffer}> ); }

Use openai-streams to work with streams in your API Routes.

import { OpenAI } from "openai-streams"; export default async function handler() { const stream = await OpenAI( "completions", { model: "text-davinci-003", prompt: "Write a happy sentence.\n\n", max_tokens: 25 }, ); return new Response(stream); } export const config = { runtime: "edge" };

If you are not using Edge Runtime, import the NodeJS.Readable version from openai-streams/node.

import type { NextApiRequest, NextApiResponse } from "next"; import { OpenAI } from "openai-streams/node"; export default async function test (_: NextApiRequest, res: NextApiResponse) { const stream = await OpenAI( "completions", { model: "text-davinci-003", prompt: "Write a happy sentence.\n\n", max_tokens: 25 } ); stream.pipe(res); }

Generate text and article, Hooks and components for working with OpenAI streams.

This is a simple fun project which uses OpenAI API to turn a text description into a color.

Copy .env.example to .env and set your own OpenAI API.

npm install // install packages npm run dev // run development server

simple fun project which uses OpenAI API to turn a text description into a color.

GiveAdvice is a project that aims to explore the capabilities of OpenAI's GPT-3 API in the area of AIGC (Artificial Intelligence Generated Content). The project is built in Go and React and provides users with two main features:

 Users can enter a description of something they want to create, and the program will generate a sentence or paragraph that describes what they're looking for. Alternatively, users can enter an article and then engage in a Q&A session with the program based on the content of the article.

 User interactions are stored locally, so users can resume questions on a particular topic at any time, or view past consultation information.

In addition, the project supports internationalization (i18n), which includes Chinese, Japanese, and English languages. The program also allows users to enter their own token to avoid any traffic restrictions. Otherwise, the program controls the number of visits from a certain IP address within a certain time frame.

The project will also include the following features in the future:

 To provide better access control, user authentication based on JWT (JSON Web Tokens) will be implemented.

 User records will be synchronized to the cloud to enable seamless interactions from multiple devices.

 The program will use Deepl to localize user input into the language of their choice.

To install and run the program, please follow the instructions below:

https://github.com/gtoxlili/advice-hub.git

Install Go, Node.js, pnpm and task on your local machine.

Fill in OPENAI_TOKEN in Taskfile.yml with your OpenAI API key.

In a new terminal window, navigate to the Client directory and run task default && ./dist/advice-hub.

If you're interested in contributing to GiveAdvice, please fork the repository and submit a pull request with your changes. We welcome all contributions!

This project is released under the GPL-3.0 License. See the LICENSE file for details.

GiveAdvice - AI Advice Generator that aims to explore the capabilities of OpenAI's GPT-3 API

Repor pembuat aplikasi movie untuk test menggunakan next tailwindcss & typescript

Curso Profesional de Next

An iMessage-App built using Next.js with Typescript, GraphQL, Node.js, Prisma & MongoDB

A advance clone of digikala includes products page, single product page, category, sorting, filtering, JWT authentication, login page, register page, edit user information, order cart, review and admin dashbord to add new product, accept reviews, add category, details and specification for category and more...

Digikala Clone NextJs

Next.js, React.js, TypeScript, TailwindCSS, NextAuth, Redux

The Tesla application is a fully-featured web application that allows users to experience the latest and greatest of Tesla's cutting-edge vehicles. Built with Next.js, React.js, TailwindCSS, NextAuth, Redux, and TypeScript, this application provides a seamless and user-friendly experience for Tesla enthusiasts and car shoppers alike.

The Next.js framework provides server-side rendering capabilities, optimizing the application's performance by reducing the time it takes for pages to load. React.js is used to build the application's UI, providing a modular and reusable component-based approach to building UI elements. TailwindCSS is utilized to provide a simple and efficient way of styling the application, providing a comprehensive set of utility classes that can be easily customized.

NextAuth provides secure authentication and authorization capabilities for the application, allowing users to easily create and manage their accounts. Redux provides a centralized state management solution, allowing for efficient state updates across the application.

Finally, TypeScript is utilized to provide strong typing capabilities and ensure a clean and maintainable codebase. With all these technologies working in tandem, the Tesla application provides a modern and cutting-edge experience for Tesla fans and car shoppers alike.

https://tesla-clone-ilywdd3c8-beniaminav.vercel.app/

Tesla Clone with  Next.js, React.js, TypeScript, TailwindCSS, NextAuth, Redux

Walmart clone with next.js

Amzon Clone with React - Next.js - TypeScript - Redux - Firebase - TailwindCss

Amazon Clone with React - Next.js - TypeScript - Redux - Firebase - TailwindCss

reddit clone in next.js 13

imdb clone build with next js and tailwind

LinkTreez is a linktree clone made using Next.js 13, Tailwind, and Daisy UI.

 LinkTreez is using Next 13's expiremental app directory.

git clone https://github.com/engageintellect/linktreez.git

A linktr.ee clone using Next.js 13 w/ experimental app directory.

This is a clone of cowrywise built with next.js, scss and gsap

Generate a full static production buildyarn build

A simple clone of Netflix built with React, Next.js, Tailwind CSS and Prisma

A simple clone of Twitter built with React, Next.js, Tailwind CSS and Prisma

Search exercises by name, body part, muscle target or equipment

you get videos on how to do that exercise

you get similar exercises of that target muscle

you get similar exercises that you can do with the same equipment

Get 3 daily meals all planned out based on the amount of calories that you input

Get macronutrients info for your generated meals

You're able to see servings, prep time and recipe details

To get a local copy up and running follow these simple example steps.

Recommended to use pnpm for better experience, but npm or yarn works for the commands below too.

Install all dependencies using: - npm install.

React components that are used for specific pages, the ones that are generic are placed inside the shared folder.

Main screen components like Home & MealPlanning are added here.

Runs the app in the development mode.
Open 

The page will reload when you make changes.

Builds the app for production to the build folder.
It correctly bundles React in production mode and optimizes the build for the best performance.

Fit Healthy Sesh(Session) - A fitness app which shows exercises and plans meals for you

new sonnylab.com website built with Next.js, React Three Fibre, and Tailwind with Twin Macro

Navigate into your new site’s directory and start it up.cd sonnylab.com/ yarn yarn dev

Your site is now running at http://localhost:8080!

website built with Next.js, React Three Fiber, and Tailwind CSS with Twin Macro

This project is built with HTML5, CSS, Tailwind, React (ES6), and Next Js. The form data will be sent to the FormSpree API for collection.

Only one background image at tablet and mobile size

All pages will reuse the following components:

Tailwind - only used for general styling like margin and padding

The organization of the styles.css will be(in descending order):

A three page website, built with Next Js, React, Tailwind, and HTML5.

design portfolio to showcase a few projects. Built with 

Personal Website (Next.js, Three.js and Framer Motion)

This work is my new portfolio site built with 

. A website presents a single page application with carousel consisting of sections presented in the header.

To run this project locally, you need to have 

git clone https://github.com/Domin-MND/portfolio . # clone the repository into the current directory npm install # for the dependencies installation npm run build # for the production build npm start # start the server

npm i -g vercel # install the Vercel CLI tool vercel # deploy the project

You can configure the project by editing the config.tsx files in the following components:

components/about/config.tsx (for the About card)

components/contact/config.tsx (for the Contact card)

components/footer/config.tsx (for the footer component)

components/header/config.tsx (for the header component)

components/skills/config.tsx (for the Skills card)

components/works/config.tsx (for the Works card)

This project supports i18n. If no translation is provided to the language - it will take the config information from the above tsx files. The english default translation folder must be named en and should never be deleted but may be modified.

All the available documentation regarding the creation & maintainability of the project is in docs folder.

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Huge thanks to these wonderful people for their contributions:


Translated portfolio to polish & helped with testing the web

Note: If you wish to help translate the portfolio to your language, please join the 

 license. You can freely use it for your own purposes.

A personal portfolio built with Next.js, Three.js & Mantine

This project is a web3 sandbox proof of concept, that allows users to purchase digital worlds in the form of NFTs, build upon them using 3D rendered blocks, and share those worlds inside of a metaverse that is saved to the blockchain.

The block-building gameplay aspect of this project was adapted from 

The proof of concept utilizes an in-game cryptocurrency, called MBlox, which faciliates the purchasing of different digital blocks for users to build with and the worlds in which they build.

The project is also playable without any web3 knowledge or integration; there is a "Sandbox" mode available from the Main Menu which allows a user to build within a provided digital world with an infinite number of blocks without the need of any web3 wallet connection or crypto balance of any kind.

This project was also deployed using Vercel (referenced in the stack above), and is available to play at the following address: 

NOTE: This project is a proof of concept, and not intended to represent a polished Web3 application. The contract system used in this application has not been audited, and I take no responsiblity for any issues that may arise out of its extended use.

There are four main aspects of gameplay within the project. These are as follows:

This aspect of gameplay allows users to convert their Polygon Mumbai Matic into the in-game currency (MBlox) to use within the game.

Alternatively, if the user has previously played by 

 and has earned the in-game METR token of that game with the wallet they have connected to this project, they will be able to claim a lump sum of MBlox equal to the difference their last claim and their current claim, (e.g. if they are claiming for the first time, the user can claim their entire METR balance as MBlox, and if they play METARANGERS since then and claim more METR since then, they can claim the new METR they have earned as MBlox)

This area of the project is where players can exchange their MBlox for the MetaBlox token, which represents the different blocks that can be used to build within the worlds of the game

The different variations of blocks that are available to the user are Dirt, Grass, Glass, Wood, Log, Lava, Gold, Opal, Amethyst, and Space.

As described earlier, this aspect of game allows the player to enter a digital world (equivalent to one of the worlds of the game) and build whatever they desire within it with an unlimited number of blocks at their disposal.

Players are unable to save anything that they create within the Sandbox to the blockchain, as this mode is intended to be an avenue of gameplay available to Web2 users.

This aspect of gameplay allows user to either purchase new worlds to build in, build in said purchased worlds, visit other user's individual worlds, or visit the MetaGrid itself, which is a vast digital world in which all one hundred available worlds within the project and rendered and laid out before the user, which they can explore in its entirety.

The different worlds are laid out in a grid of tiles, with coloured tiles represent worlds that are already purchased by users, and black tiles representing unclaimed worlds available for purchase.

This proof of concept uses a smart contract system that includes four implementations and seven interfaces. All the contracts were deployed to the 

, were written in the Solidity programming language and deployed using Hardhat, both of which are referenced in the stack displayed above. The implementations used in this smart contract system are as follows:

This contract represents the in-game currency that is primarily used to purchase the other tokens in the game.

 that provides basic minting and burning functionality.

This contract represents the different blocks that the user is able to purchase and then use to build with within the game.

Next.Js Example