Create a Serverless Chatbot for Managing EC2 Instances with OpenAI’s chatGPT(API), AWS Lambda, and a Chrome Extension

chatBot

In today’s fast-paced world, managing cloud resources effectively is crucial for any organization. In this article, we’ll walk you through the process of creating a serverless chatbot that leverages OpenAI’s chatGPT (API), AWS Lambda, and a Chrome Extension to manage your Amazon EC2 instances. By following these simple steps, you’ll be able to create a powerful chatbot that can perform tasks such as starting, stopping, and checking the status of your instances with ease and it also gives you general info about EC2 & AWS resources.

Step 1: Set up your OpenAI API key

To begin, you’ll need to sign up for an OpenAI API key if you haven’t already. Once you’ve obtained your key, store it securely as you’ll need it later to interact with the ChatGPT API.

Step 2: Create an AWS Lambda function

Next, create an AWS Lambda function that will serve as the backend for your chatbot. The Lambda function should be written in Python and include the necessary dependencies of AWS SDK (Boto3) and OpenAL for managing EC2 instances.

Now, add the following code in the Lambda function:

import json
import openai
import boto3
import os

# Function…