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Natural Language UI Control: Langchain, Next.js, OpenAI Functions & WebSockets

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In this tutorial, we'll explore how to control UI components with natural language using Langchain, Next.js, OpenAI Functions, and WebSockets. Learn how to create an intuitive and user-friendly interface that responds to natural language commands, making your application more accessible and engaging.

🔥 Key Topics:

  • Introduction to Langchain, Next.js, and OpenAI
  • Setting up WebSockets for real-time communication
  • Building a natural language interface for UI control

Features

  • Real-time chart updates using Pusher
  • Chat functionality integrated with OpenAI's model
  • Fetches historical stock data based on tickers
  • Frontend developed with React.js and Material-UI
  • Backend developed with Next.js

Prerequisites

Make sure you have Node.js and pnpm installed on your machine.

Installation

Frontend

Install required packages:
pnpm i pusher-js chart.js react-chartjs-2

Start the development server:
pnpm run start

Backend

Install required packages:
pnpm i dotenv langchain pusher zod

Configure your .env file with the required keys and secrets for Pusher and Alpha Vantage.

Start the development server:
pnpm run dev

Usage

Navigate to the application URL in your browser and start interacting with the chart and chat interface.

Contributing

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

License

MIT

Important Links

Support the Project

Patreon Repo: Github Link Coming soon...

Tags

#Langchain #Nextjs #OpenAI #WebSockets #NaturalLanguageUI

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Langchain-Nextjs-OpenAI-WebSockets: Natural Language UI Control with OpenAI Functions

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