Creating a fully functional Chrome extension with ChatGPT API integration requires a more involved development process. However, I can provide you with a starting point for a simple Chrome extension that filters LinkedIn posts related to AI and suggests comment options for each post.
Here's a basic outline of the steps involved:
- Manifest File (manifest.json): Create a manifest file in the root directory of your extension with the following content:
json { "manifest_version": 2, "name": "AI Filter & Comment", "version": "1.0", "permissions": ["tabs", "https://www.linkedin.com/"], "content_scripts": [ { "matches": ["https://www.linkedin.com/"], "js": ["content.js"], "run_at": "document_end" } ] }
- Content Script (content.js): Create a new JavaScript file called "content.js" in the same directory as your manifest file. This script will run on LinkedIn pages and perform the filtering and comment suggestion tasks.
javascript // Function to check if a post is related to AI function isAIRelatedPost(post) { // Implement your logic to determine if the post is related to AI // Return true if it's an AI-related post, otherwise false }
// Function to suggest comment options using ChatGPT API async function suggestComments(post) { // Implement your logic to generate comment suggestions using the ChatGPT API // You will need to make HTTP requests to the ChatGPT API endpoint with the post text // and receive response containing comment suggestions // Return an array of suggested comments }
// Function to filter and process LinkedIn posts function processPosts() { const posts = document.querySelectorAll('div.feed-shared-update-v2');
posts.forEach(async (post) => { const postText = post.querySelector('span.feed-shared-text').innerText;
if (isAIRelatedPost(postText)) {
const commentOptions = await suggestComments(postText);
// Display comment options next to the post
commentOptions.forEach((option) => {
const optionElement = document.createElement('div');
optionElement.innerText = option;
post.appendChild(optionElement);
});
}
}); }
// Execute the post processing when the page is fully loaded document.addEventListener('DOMContentLoaded', processPosts);
- ChatGPT API Integration:
To integrate with the ChatGPT API, you need to make HTTP requests to the API endpoint with appropriate headers and parameters. You can use libraries like
fetch
oraxios
to make the requests. You will also need an API key for authentication.
Please note that implementing the ChatGPT API integration requires additional steps, including obtaining an API key, handling authentication, and constructing the appropriate requests and responses. The exact implementation will depend on the specifics of the ChatGPT API.
Once you have completed the code, you can load the extension into Chrome by following these steps:
- Open the Extensions page in Chrome by navigating to "chrome://extensions/".
- Enable the "Developer mode" toggle at the top right corner.
- Click on "Load unpacked" and select the folder containing your extension files.
Keep in mind that this is a basic implementation and there are additional considerations for error handling, performance optimization, and UI/UX improvements that you may want to incorporate into your extension.