Integrating OpenAI LLM model to Your Nodejs Application

Integrating ChatGPT-3.5 Turbo into Your Node.js Application: A Step-by-Step Guide

Step 1: Set Up Your OpenAI Account:

Before you start integrating ChatGPT-3.5 Turbo, make sure you have an OpenAI account. Visit the OpenAI website (https://www.openai.com/) to create an account and obtain API keys.

Step 2: Install the OpenAI Node.js Package:

To interact with ChatGPT-3.5 Turbo from your Node.js application, you'll need the OpenAI Node.js package. Install it using npm:

npm intall openai

Step 3: Get your api key:

Retrieve your OpenAI API key from your account dashboard on the OpenAI website. You'll need this key to authenticate your requests to the ChatGPT API.

Step 4: Set Up Your Node.js Project:

Create a new Node.js project or open an existing one. In your project directory, create a new file (e.g., app.js) to write your application code.

Step 5: Configure OpenAI Package:

Configure the OpenAI package in your Node.js project by entering your API key. Add the following code snippet into your app.js file:

const openai = require('openai');
const apiKey = 'YOUR_OPENAI_API_KEY';

const chatGPT = new openai.ChatCompletion({
  apiKey,
});

Replace 'YOUR_OPENAI_API_KEY' with your actual API key.

Step 6: Create a Function to Interact with ChatGPT:

Define a function to interact with the ChatGPT-3.5 Turbo API. This function will take a user's message as input and return ChatGPT's response. Add the following code to your app.js file:

const generateChatResponse = (userMessage) => {
  const response = await chatGPT.create({
    model: 'gpt-3.5-turbo',
    messages: [
      { role: 'system', content: 'You are a helpful assistant.' },
      { role: 'user', content: userMessage },
    ],
  });

  return response.choices[0].message.content;
}

Step 7: Implement ChatGPT in Your Application Logic:

Now, you can use the generateChatResponse function in your application logic. For example, in an Express.js route, you can handle user messages and send ChatGPT responses:
 

const express = require('express');
const app = express();

app.use(express.json());

app.post('/chat', async (req, res) => {
  const userMessage = req.body.message;
  const chatGPTResponse = await generateChatResponse(userMessage);

  res.json({ response: chatGPTResponse });
});

const port = 3000;
app.listen(port, () => {
  console.log(`Server is running on port ${port}`);
});
			

In this example, a POST request to the '/chat' endpoint expects a JSON object with a 'message' property. The server will respond with the ChatGPT-generated message.