Learn how AI explains anything in your browser

Table of Contents

1. Introduction
2. Overview of the Project
3. Steps to Build the Open AI Powered Live Commentary
4. Required Dependencies and Libraries
5. Setting up the Environment
6. Creating the Main Function
7. Choosing the Mode: Manual or Continuous
8. Processing the Screenshot
9. Sending the Screenshot to Open AI Vision API
10. Generating an Audio Commentary
11. Playing the Audio in the Terminal
12. Configuring Continuous Mode
13. Conclusion
14. Further Improvements
15. References

Building an Open AI Powered Live Commentary

In today's tutorial, we will be building an open AI powered live commentary system that provides real-time audio commentary on any web content displayed in your browser. Specifically, we will be using the Shopify BFCM (Black Friday Cyber Monday) live dashboard as an example. This tutorial will guide you through the step-by-step process of setting up the necessary dependencies, writing the code, and running the script.

1. Introduction

The ability to generate live commentary on web content can be a valuable tool for websites, online marketplaces, and even live events. By leveraging the power of Open AI's Vision and Text-to-Speech APIs, we can Create a system that automatically analyzes screenshots of web content and generates corresponding audio commentary.

2. Overview of the Project

Our project involves building a script using Node.js and Puppeteer that takes screenshots of web content, sends them to the Open AI Vision API for analysis, receives a prompt, and generates audio commentary using the Open AI Text-to-Speech API. The script will be able to run in two modes: manual mode and continuous mode.

3. Steps to Build the Open AI Powered Live Commentary

To build the open AI powered live commentary system, we will follow these steps:

1. Set up the required dependencies and libraries.
2. Create the main function that will orchestrate the entire process.
3. Give the user the option to choose between manual mode and continuous mode.
4. Process the screenshot and save it as a base64 image.
5. Send the screenshot to the Open AI Vision API for analysis.
6. Receive the response and generate an audio commentary using the Open AI Text-to-Speech API.
7. Play the audio commentary in the terminal.
8. Optionally, configure continuous mode for a seamless audio commentary experience.
9. Wrap up the code and provide suggestions for further improvements.

4. Required Dependencies and Libraries

Before we begin, let's make sure we have all the necessary dependencies and libraries installed. We will be using the following packages:

• puppeteer for browser automation and taking screenshots.
• axios for making API calls to the Open AI Vision and Text-to-Speech APIs.
• fs for file creation and reading.
• readline for interacting with the script through the terminal.
• afplay (for macOS) or an alternative audio player for playing audio files in the terminal.

5. Setting up the Environment

To set up the environment, make sure You have Node.js installed on your system. You can check this by running node -v in your terminal. If Node.js is not installed, download and install it from the official Website.

Once Node.js is installed, create a new directory for the project and navigate to it in the terminal. Run npm init to initialize a new Node.js project and follow the Prompts to set up the project.

After the project is set up, install the required dependencies by running the following command:

npm install puppeteer axios fs readline

6. Creating the Main Function

In our main function, we will define the overall flow of the script. This function will be responsible for opening the browser, setting up the necessary configuration, taking screenshots, sending them for analysis, generating audio commentary, and playing the audio in the terminal.

async function startTakingScreenshots() {
  // Open the browser using Puppeteer
  const browser = await puppeteer.launch({ headless: false });

  // Set up the viewport and navigate to the desired URL

  // Prompt the user to choose between manual mode and continuous mode

  if (mode === 'manual') {
    // Prompt the user to trigger the screenshot
  } else if (mode === 'continuous') {
    // Start the continuous mode loop
  }
}

7. Choosing the Mode: Manual or Continuous

In the startTakingScreenshots function, we will prompt the user to choose between manual mode and continuous mode. In manual mode, the user will trigger the screenshot by pressing a key. In continuous mode, the script will continuously take screenshots and generate audio commentary without any user input.

async function startTakingScreenshots() {
  // ...

  const mode = await promptUser('Choose a mode: (1) Manual or (2) Continuous');

  if (mode === '1') {
    // Manual mode
    // Prompt the user to trigger the screenshot
  } else if (mode === '2') {
    // Continuous mode
    // Start the continuous mode loop
  } else {
    console.log('Invalid mode selection. Please choose either 1 or 2.');
    // Handle invalid mode selection
  }
}

8. Processing the Screenshot

In manual mode, the user will trigger the screenshot by pressing a key. Once the screenshot is triggered, we will save the screenshot as a base64 image and send it to the Open AI Vision API for analysis.

async function processScreenshot() {
  // Grab the current timestamp
  const timestamp = new Date().getTime();

  // Set a file name and path to save the screenshot

  // Take a screenshot using Puppeteer

  // Store the screenshot as a base64 image
}

9. Sending the Screenshot to Open AI Vision API

The screenshot, in the form of a base64 image, needs to be sent to the Open AI Vision API for analysis. We will define the necessary parameters and make a POST request to the API.

async function sendToVisionAPI() {
  // Define the URL, headers, data, and other parameters

  // Make a POST request to the Open AI Vision API

  // Handle the response from the API
}

10. Generating an Audio Commentary

Once we receive the response from the Open AI Vision API, we will generate an audio commentary using the Open AI Text-to-Speech API. We will define the necessary parameters, make a POST request to the API, and receive the audio file.

async function generateAudioCommentary() {
  // Define the URL, headers, data, and other parameters

  // Make a POST request to the Open AI Text-to-Speech API

  // Process the received audio file
}

11. Playing the Audio in the Terminal

To play the audio file in the terminal, we will use the afplay command (for macOS) or an alternative audio player. We will define a function to play the audio and call it whenever we have a new audio file.

function playAudio() {
  // Use the afplay command (for macOS) or an alternative audio player to play the audio file in the terminal

  // Handle any errors or interruptions during playback
}

12. Configuring Continuous Mode

In continuous mode, the script will continuously take screenshots, send them to the Open AI Vision API for analysis, generate audio commentary, and play the audio. We will set up a loop that triggers a screenshot after a short delay.

async function startContinuousMode() {
  // Set up a loop to continuously take screenshots

  // Trigger a screenshot after a short delay (e.g., 5 seconds)

  // Process the screenshot, send it to the Open AI Vision API, generate audio commentary, and play the audio

  // Repeat the loop until manually stopped or an error occurs
}

13. Conclusion

In this tutorial, we have learned how to build an open AI powered live commentary system using Node.js, Puppeteer, and the Open AI Vision and Text-to-Speech APIs. We have covered the steps to set up the required dependencies, create the main function, choose between manual and continuous mode, process screenshots, send them to the Open AI Vision API, generate audio commentary, and play the audio in the terminal.

14. Further Improvements

There are several ways to enhance and expand upon this project. Some potential improvements include:

• Adding error handling and validation for user input.
• Implementing a dynamic resizing mechanism for screenshots to optimize cost and readability.
• Incorporating natural language processing to improve the coherence and Context of the commentary.
• Integrating with other platforms and websites for a wider range of use cases.
• Optimizing the script for different operating systems and audio players.

15. References

• Node.js Documentation
• Puppeteer Documentation
• Open AI API Documentation

Highlights

• Build an open AI powered live commentary system using Node.js and Puppeteer
• Choose between manual mode and continuous mode for taking screenshots and generating audio commentary
• Use the Open AI Vision API to analyze screenshots and the Open AI Text-to-Speech API for generating audio
• Play the audio commentary in the terminal using the afplay command (for macOS) or an alternative audio player
• Enhance the project by adding error handling, dynamic resizing for screenshots, and natural language processing

Pros:

• Provides real-time audio commentary on web content
• Easily customizable with different websites and prompts
• Creates a dynamic and engaging user experience
• Can be extended and enhanced with additional features

Cons:

• Requires installation and setup of dependencies
• Cost increases with higher-resolution screenshots
• Limited to the capabilities of the Open AI Vision and Text-to-Speech APIs
• May require additional configuration for Windows users

FAQs

Q: Can I use this script with any website or web content? A: Yes, you can use this script with any website or web content. Simply change the URL in the code to the desired website.

Q: Is it possible to use a different audio player for Windows? A: Yes, you can use a different audio player for Windows. Replace the afplay command with the appropriate command for the audio player you want to use. Make sure the audio player is installed and available in your system's PATH.

Q: Is it necessary to resize the screenshots for optimal performance? A: Resizing the screenshots can help optimize cost and readability. If you have a lot of detailed or small text in your screenshots, you may need to experiment with different resize options to ensure accurate analysis by the Open AI Vision API.

Q: How can I handle errors or interruptions during audio playback? A: You can add error handling and recovery mechanisms in the code to handle any errors or interruptions that may occur during audio playback. This will ensure a smoother user experience and prevent unexpected behavior.

Q: Can I integrate this script with other platforms or websites? A: Yes, you can integrate this script with other platforms or websites by modifying the code to suit the specific requirements and APIs of the platform or website you want to integrate with.

Q: Are there any limitations to the capabilities of the Open AI Vision and Text-to-Speech APIs? A: The Open AI Vision and Text-to-Speech APIs have their own limitations and restrictions. Make sure to review the API documentation and terms of use to understand any limitations or restrictions that may apply.

Now that you have a clear understanding of how to build an open AI powered live commentary system, you can start implementing it in your own projects. Have fun exploring the possibilities and creating engaging experiences for your users!