GPT Browser

A powerful Node.js package that fetches a webpage, breaks it into chunks, analyzes its content, and generates a summary using OpenAI's Chat API.

Screen.Recording.2024-05-21.at.12.11.38.PM.mov

Features

• Fetches and parses webpages using Puppeteer
• Generates summaries using OpenAI's Chat API
• Customizable summarization options (model, prompts, token limits)
• Easy integration into your Node.js projects
• Command-line interface using npx

Installation

To use GPT Browser in your project, install it from npm:

npm install @ejfox/gpt-browser

Usage

In a Node.js Project

Import the fetchAndSummarizeUrl function from the package and use it in your code:

const { fetchAndSummarizeUrl } = require('@ejfox/gpt-browser');

async function main() {
  const url = 'https://example.com';
  const options = {
    model: 'gpt-3.5-turbo',
    summaryPrompt: 'Summarize the key points from the webpage:',
  };

  const summary = await fetchAndSummarizeUrl(url, options);
  console.log(summary);
}

main();

Using npx

You can also use GPT Browser directly from the command line using npx:

npx @ejfox/gpt-browser --url https://example.com

Customization Options

You can customize the summarization process by passing additional options:

• --model or -m: OpenAI model to use for summarization (default: "gpt-4-turbo-preview")
• --chunkAmount or -c: Desired chunk size for text splitting (default: 12952)
• --summaryPrompt or -sp: Prompt for generating the summary (default: "Please sort these facts from in order of importance, with the most important fact first")
• --summaryMaxTokens or -smt: Maximum number of tokens for the summary (default: 4096)
• --chunkPrompt or -cp: Prompt for processing text chunks (default: WEBPAGE_UNDERSTANDER_PROMPT)

Example with custom options:

npx @ejfox/gpt-browser --url https://example.com --model gpt-3.5-turbo --chunkAmount 8000 --summaryPrompt "Summarize the key points from the webpage:"

You can also store your prompts in local text files and echo them into the command:

npx @ejfox/gpt-browser --url https://example.com --summaryPrompt "$(cat summaryprompt1.txt)" --chunkPrompt "$(cat chunkprompt2.txt)"

Examples

1. Summarize a Wikipedia article in your Node.js project:

const { fetchAndSummarizeUrl } = require('@ejfox/gpt-browser');

async function main() {
  const url = 'https://en.wikipedia.org/wiki/OpenAI';
  const summary = await fetchAndSummarizeUrl(url);
  console.log(summary);
}

main();

2. Summarize a news article with a custom prompt using npx:

npx @ejfox/gpt-browser --url https://www.theatlantic.com/science/archive/2024/02/talking-whales-project-ceti --summaryPrompt "Provide a brief overview of the main events covered in the article:"

3. Summarize a blog post using a different OpenAI model in your project:

const { fetchAndSummarizeUrl } = require('@ejfox/gpt-browser');

async function main() {
  const url = 'https://openai.com/blog/chatgpt';
  const options = {
    model: 'gpt-3.5-turbo',
  };

  const summary = await fetchAndSummarizeUrl(url, options);
  console.log(summary);
}

main();

License

This project is open-source and available under the MIT License.