We will discuss the step-by-step method to install the ChatGPT app locally so that you can use it to get faster responses with increased privacy.
Why install the ChatGPT app locally?
There are several benefits of installing the AI model on your computer, some of which are mentioned here:
Fast and responsive – You can directly run it on your device. This means the app will use the device’s processor and memory, which will work more efficiently than when working on the remote server. Increased privacy and security – Using the app locally will enhance the privacy and security of your private data. The data will no longer be transferred from your device to a remote server. Customizable – Installing the app locally will allow you to customize the app as per your preferences and requirements. You can change the user interface, app functions, and more. No need to face downtime – If the app is locally installed, you won’t have to sign in again or wait for the server to respond if it is busy. Hence no downtime.
How can I install the ChatGPT app locally?
Before engaging in steps to install the ChatGPT app locally, you should consider performing the following checks: SPONSORED
First, install the Node.js extension on VS code. Then, get Git extension on VS code.
1. Create a folder & open it in Visual Studio Code
2. Check if Node.js is installed
3. Install dependencies
4. Write code in style.css
5. Write code in Index.html
6. Run commands on the Terminal
7. Write code in the script.js file
8. Create a new folder inside the Open_AI_ChatGPT app folder and install modules
9. Generate the API key and mention it in .env
10. Create new file server.js and write a script
import express from ’express’;import * as dotenv from ‘dotenv’;import cors from ‘cors’;import { Configuration, OpenAIApi } from ‘openai’;dotenv.config();const configuration = new Configuration({ apiKey: process.env.OPENAI_API_KEY,});const openai = new OpenAIApi(configuration);const app = express();app.use(cors());app.use(express.json());app.get(’/’, async (req, res) => { res.status(200).send({ message: ‘Hello from GPT!’, })});app.post(’/’, async (req, res) => { try { const prompt = req.body.prompt; const response = await openai.createCompletion({ model: “text-davinci-003”, prompt: ${prompt}, temperature: 0, // Higher values means the model will take more risks. max_tokens: 3000, // The maximum number of tokens to generate in the completion. Most models have a context length of 2048 tokens (except for the newest models, which support 4096). top_p: 1, // alternative to sampling with temperature, called nucleus sampling frequency_penalty: 0.5, // Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model’s likelihood to repeat the same line verbatim. presence_penalty: 0, // Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model’s likelihood to talk about new topics. }); res.status(200).send({ bot: response.data.choices[0].text }); } catch (error) { console.log(error); res.status(500).send(error || ‘Something went wrong’); }});app.listen(5000, () => console.log(‘AI server started on http://localhost:8001’));
11. Write code in the package.json
{“name”: “server”,“version”: “1.0.0”,“description”: “”,“type”: “module”,“scripts”:{“server”: “nodemon server”},“keywords”: [],“author”: “”,“license”: “ISC”,“dependencies”: {“cors”: “^2.8.5”,“dotenv”: “^16.0.3”,“express”: “^4.18.2”,“nodemon”: “^2.0.20”,“openai”: “^3.1.0”}}
12. Test the code
13. Install the Git Bash app and configure it with your GitHub account
14. Create a repository, and publish code
14.1 Create a repository
14.2 Publish your code on the repository
15. Deploy the server
16. Deploy the front end
So, these are the detailed steps to install the ChatGPT app locally on your device. Stuck somewhere? Please mention your questions or concerns in the comments section below.
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