ChatGPT Integration with Node and Vue

Quick Summary

It’s crucial to consider how technology will affect the future as it grows increasingly ingrained in our daily lives. Artificial intelligence (AI), which has gained even more significance with the creation of cutting-edge AI-based applications like ChatGPT, is one especially promising field. In this blog article, we have discussed the fundamentals of ChatGPT and the ChatGPT Integration with Node ChatGpt and Vue.

What is ChatGPT?

Based on GPT-3.5, OpenAI created the big language model chatbot, ChatGPT. It can remarkably engage in conversational conversations and respond in a way that occasionally seems very human.

Foretelling the following word in a string of words is carried out by large language models.

ChatGPT learns how to obey instructions and provide replies that are acceptable to people using Reinforcement Learning with Human Feedback (RLHF), an extra training layer.

What is Node.js development?

Node.js is a framework for creating quick and scalable network applications based on Chrome’s JavaScript engine. Node.js is lightweight and efficient, making it ideal for data-intensive exact-time applications that operate across dispersed devices. It utilises an event-driven, non-blocking I/O approach.

What is Vue.js development?

As a lighter alternative to more complex frameworks like AngularJS and React, Evan You built the open-source, progressive JavaScript framework, Chatbot Vue JS, or just Vue. Vue blends Angular-influenced methodologies with simplified capabilities for front-end interaction and application development. The core library for Vue is only concerned with the view layer and is intended to be included into applications gradually.

Flow of ChatGPT Integration with Node and Vue

After learning about ChatGPT and its architecture, we can now integrate ChatGPT into other systems. Let’s continue with the ChatGPT Integration with Node ChatGPT and Vue procedure.

Step 1: Dummy Project Setup for ChatGPT Integration with Node.js and Vue.js

The ChatGPT project’s use of Node.js and Vue.js will create a wealth of fascinating new opportunities for web development.

Our project focuses on connecting the two utilising a straightforward backend configuration with Node.js as the backend and Vue.js as the frontend.

We allow smooth connection between the front and backend, finally integrating the potent features of ChatGPT, by setting a single endpoint that takes POST requests.

This seamless fusion of technology can transform routine interactions into unforgettable ones.

Simplicity is the key when it comes to the front end. In this instance, a ChatBox component is a communication channel between users and ChatGPT.

Step 2: Setting Up OpenAI SDK/Package for Node.js

Between users and the ChatGPT server, OpenAI acts as a sort of intermediary. It is the official ChatGPT programme, which facilitates simple and streamlined communication. The crucial link guarantees a smooth and comfortable experience for all parties concerned.

It is also the official ChatGPT package; to learn more and further into the specifics, see the documentation.

Next, we will install the OpenAI package in the backend with this command:

npm ChatGPT install openai

Now, we will configure chatGpt.controller.js to communicate with ChatGPT APIs from the backend. See this:

chatGpt.controller.js
const {Configuration, OpenAIApi} = require(‘openai’)
const askToChatGpt = async function (req, res) {
/**
* 1. Create/configure OpenAI Instance
/ const openAIInstance = await _createOpenAIInstance() /*
* 2. Let’s talk to chatGPT
*/
await openAIInstance.createCompletion({
model: ‘text-davinci-003’,
prompt: req.body.message,
temperature: 0,
max_tokens: 500
})
.then((response) => {
const repliedMessage = response.data.choices[0].text
res.send({from: ‘chatGpt’, data: repliedMessage})
})
.catch((error) => {
//Report error
console.log(‘Error ‘, error)
});
}
const _createOpenAIInstance = async () => {
const conf = await new Configuration({
apiKey: process.env[‘CHATGPT_TOKEN’]
})
return await new OpenAIApi(conf)
}
module.exports = {
askToChatGpt
}

Also Read: What’s New In The Latest Version Of Node.js 19? Nodejs update version and Features.

Step 3: Setting Up the Frontend with Vue.js

You may discover a unique component we created called ChatBox.vue in the /src/components directory.

For our application to communicate with the backend, this component is essential. We use Axios, a potent tool for managing API requests, to enable this connection.

Here is an explanation of how we use Axios to communicate with our backend.

methods:

{
async sendMessage (message) {
this. messages. push ({
from: ‘user’,
data: message
})
await axios.post(‘http://localhost:3000/ask-to-chat-gpt’, {
message: message
})
.then( (response) => {
this. messages. push response. data)
})
}
}

Step 4: Server the Frontend, Backend and Test the Flow

Here, the backend is served at http://localhost:3000, while the frontend is served at http://localhost:8080.

In Backend

Node.js Is Used For Frontend

run npm serve

A ChatGPT input box will now appear at the top. Simply enter a query, and ChatGPT will provide the appropriate response.

Therefore, ChatGPT has been successfully merged with Node and Vue.

Knowing the fundamentals of ChatGPT services will help the operation run smoothly and effectively.

Basic Terminologies of ChatGPT Services

We may personalise our requests by defining particular attributes while using the ChatGPT services.

These attributes greatly influence the replies we get from the ChatGPT APIs.

Let’s examine each property in more detail to better understand how it affects the results we obtain. It’s like entering a mythical realm where the results of our requests are determined.

Model

The ‘text-davinci-003’ model has been applied in this case. Considering that ChatGPT is trained on a sizable amount of data, you may select the model you want to employ when submitting your request.

Prompt

The question we must ask ChatGPT is the prompt. This message has been requested from the client side in our project.

Temperature

The degree of variation you receive depends on the temperature, letting you select the level that best matches your needs. Higher numbers produce more creative and diverse results, while lower values below 1.0 offer more predictable replies.

Max_tokens

It establishes the word count, punctuation, etc., and the length of the replies.

Conclusion

AI-driven technologies like ChatGPT are changing how we engage with apps in a constantly changing technological context. Your online apps may have dynamic and interesting chats by combining Node ChatGPT and Vue.js. You can design user experiences that seem personalised and human thanks to the smooth data and communication flow between the frontend and the backend provided by ChatGPT. Hire FullStack Developers for your next idea. This integration is one of the fascinating possibilities that emerge when cutting-edge web technologies and AI work together.

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