To run the ChatGPT locally using the docker desktop, you can use your laptop

You can use your personal computer to run the ChatGPT locally using a docker desktop. You must first be familiar with the installation and configuration of the OpenAI API client before you can proceed. Then, try to figure out how to create a straightforward ChatGPT-like chatbot system.

Please note that this is the first part of this article where you will see how to get started with OpenAI and build a simple Pet Name Generator app. In the 2nd part of the article, you will see how to build a chatbot system. Let's get started.

To start, you must request an OpenAI API key. To create a secret key, go to the OpenAI API website.

Create the following example Node.js script to show how to run Chat GPT locally using the OpenAI API client:

const openai = require('openai');

// Set your OpenAI API key

openai.apiKey = "YOUR_API_KEY";

// Set the prompt for Chat GPT

const prompt = "What's your favorite color?";

// Set the model to use (in this case, Chat GPT)

const model = "chatbot";

// Generate a response from Chat GPT

openai.completions.create({

  engine: model,

  prompt: prompt,

  max_tokens: 2048,

  n: 1,

  stop: '.',

  temperature: 0.5,

}, (error, response) => {

  console.log(response.choices[0].text);

});

Based on the supplied prompt, this script generates a response from ChatGPT using the openai.completions.create() method. The temperature and max tokens parameters can be used to regulate the response's length and originality, respectively.

Fork the Pet name-generating app source and try to build your version of a Dockerized solution to see how OpenAI operates. To start, you should try running the app directly from your local machine to make sure Docker wasn't needed.

1. Clone the Repository

git clone https://github.com/ajeetraina/openai-quickstart-node

2. Navigate into the Project Directory

cd openai-quickstart-node

3. Install the Requirements

npm install

4. Make a Copy of the Example Environment Variables File

cp .env.example .env

Add your API key to the newly created .env file

5. Run the App

npm run build

You should now be able to access the app at http://localhost:3000!

Running Pet Name Generator app using Docker Desktop

Let us try to run the Pet Name Generator app in a Docker container. To do this, you will need to install Docker locally in your system. I recommend using Docker Desktop which is free of cost for personal usage.

Create a Dockerfile

Create a Dockerfile: In your project directory, create a file called Dockerfile and add the following content to it:

# Use the official Node.js 10 image as the base

FROM node:14

# Create a working directory

RUN mkdir -p /usr/src/app

# Set the working directory

WORKDIR /usr/src/app

# Copy the package.json and package-lock.json files

COPY package*.json /usr/src/app/

# Install the dependencies

RUN npm install

# Copy the rest of the application code

COPY . /usr/src/app

# Expose the application's port

EXPOSE 8080

# Run the application

CMD [ "npm", "run", "dev" ]

This Dockerfile specifies the base image (node:14) to use for the Docker container and installs the OpenAI API client. It also copies the app code to the container and sets the working directory to the app code.

Building the Chatbot Docker Image

docker build -t ajeetraina/chatbot-docker .

Running the Chatbot Container

docker run -d -p 3000:3000 ajeetraina/chatbot-docker