AI explains anything in your browser (NodeJS OpenAI Vision & TTS API tutorial)
AI Summary
Overview
A tutorial demonstrating how to create an OpenAI-powered live commentary system for any browser-based content, using the Shopify BFCM live dashboard as an example.
Key Features
- Live Commentary: Provides real-time commentary on visual data from websites.
- Manual and Continuous Modes: Users can select manual mode to trigger commentary with each action, or continuous mode for ongoing updates without pressing additional keys.
Requirements
- Node.js for running scripts.
- Familiarity with terminal commands and OpenAI APIs.
Process
- Script Execution: The tutorial involves executing a Node.js script named
tutorial.MJS, which requires user input for mode selection.- Screenshot Capture: Users can take screenshots using the script, which sends the image to the OpenAI Vision API for analysis.
- Audio Generation: The analyzed content is then converted to audio using the OpenAI Text-to-Speech (TTS) API, allowing for spoken commentary based on visual data.
- Libraries Used: The script employs several libraries, including Puppeteer for browser automation, and Node.js modules for file management.
Code Overview
- Initialization: The user sets the target website (e.g., Shopify BFCM dashboard).
- Directory Setup: The script checks and creates necessary directories for storing screenshots and audio files.
- Input Handling: The readline module captures user input for triggering actions.
- Mode Selection: Choice between manual (single commentary on trigger) and continuous (ongoing commentary during browsing).
- Audio Playback: Functionality to play back audio seamlessly without interruptions.
Additional Notes
- The video offers resources and code links in the description for further exploration.
- Adjustments may be needed for different operating systems, especially for audio playback functions.
Conclusion
This tutorial provides a comprehensive guide for integrating OpenAI’s capabilities to create an interactive commentary tool for live data visualization, exemplified through Shopify’s dashboard during BFCM events.