This project provides a basic skeleton to help developers create a Google Chrome extension that integrates with OpenAI's ChatGPT to analyze content from web pages. The extension is designed to select content from a webpage, process it using the OpenAI API, and return structured data.

• Select content from a webpage using a CSS selector.
• Send the content to OpenAI's ChatGPT API for analysis.
• Receive structured responses based on custom instructions.

• Google Chrome: You need to have Google Chrome installed on your machine.
• OpenAI account: Sign up at OpenAI and obtain an API key.

1. Clone the repository:

   git clone https://github.com/chris-lu/open-ai-skeleton-chrome-extension.git  
   cd open-ai-skeleton-chrome-extension

2. Open Chrome and navigate to the Extensions page:

   Go to chrome://extensions/ or click on the menu (three dots) > "More tools" > "Extensions".

3. Enable Developer Mode:

   Toggle the "Developer mode" switch at the top right of the page.

4. Load the extension:

   Click "Load unpacked" and select the cloned repository folder.

5. Login to OpenAI plateform:

   Go on https://chat.openai.com/ url and login with your account:

The manifest.json file is the central configuration for the extension. You can customize it to fit your needs:

• Permissions: Controls which permissions the extension has.
• Host Permissions: Specifies which hosts the extension can interact with.
• Content Scripts: Defines scripts that run on specified websites.

The config.json file allows you to customize the settings for content analysis:

• model: The OpenAI model to use (e.g., "gpt-4o-mini").
• selector: The CSS selector to determine which content is extracted from the webpage.
• context: The instructions provided to ChatGPT for analyzing the content.

You can add any data you would need for your extension.

Example:

{
  "model": "gpt-4o-mini",
  "selector": "#mainContent article article",
  "context": [
    "I'll send you the content of a web page, without HTML markup.",
    "In this page, you'll find all the following information:",
    "- The price (Price)",
    "- The size of the house (Size)",
    "- The size of the land (Land in m²)",
    "- If the house has dependencies (Dependencies)",
    "- if the house has a pool (Pool)",
    "You'll return the answer to these questions as following:",
    "- You'll answer only with the necessary and minimal data. One line per each information. The answer should first include the part that was used in parenthesis, then a tabulation character, then the answer.",
    "- When the question starts with 'If', you'll answer with 'Yes' or 'No'",
    "Here is an example of the answer with all the information you will find: ",
    "Price:t256000",
    "Land in m²:t150",
    "Dependencies:tYes"
  ]
}

1. Open a webpage:

   Navigate to any webpage you want to analyze.

2. Click the extension icon:

   Click on the extension icon in the Chrome toolbar to open the popup.

3. View Results:

   The extension will display the structured response received from OpenAI.

• manifest.json: Configuration file for the Chrome extension.
• background.js: Contains the background script logic for handling requests.
• popup.html: The popup interface that users interact with.
• content.js: Content script to extract data from web pages.
• config.json: Configuration file for OpenAI and program settings.
• images/: Folder containing extension icons.
• fonts/: Folder containing web fonts.

1. Fork the repository

2. Create a new branch:

   git checkout -b feature/your-feature

3. Make your changes and commit them:

   git commit -m 'Add your feature'

4. Push to the branch:

   git push origin feature/your-feature

5. Create a Pull Request

This project is licensed under the MIT License - see the LICENSE file for details.

• OpenAI for their powerful API.
• Google Chrome Extensions Documentation for guidance on creating Chrome extensions.