ShareGPT
Share your wildest ChatGPT conversations with one click.
Introduction · Tech Stack · REST API
Introduction
ShareGPT is an open-source Chrome Extension for you to share your wildest ChatGPT conversations with one click.
Features
- Share your ChatGPT conversations with one-click
- Browse examples on sharegpt.com/explore
- Save your favorite conversations for later
- Leave comments on conversations
Tech Stack
ShareGPT is built with the following stack:
- Next.js – framework
- Typescript – language
- Tailwind – CSS
- Upstash – redis
- Planetscale – database
- NextAuth.js – auth
- Vercel – hosting
REST API
The ShareGPT API is a REST-styled API that allows you to write and read conversations from our database, exposed as HTTP endpoints.
Conversations Endpoint
https://sharegpt.com/api/conversations
POST: You can use this endpoint to add new conversations to our database.
First, if you haven't already, process the ShareGPT conversation using the following code:
function conversationData() {
const threadContainer = document.querySelector(
"#__next main div:nth-of-type(1) div:nth-of-type(1) div:nth-of-type(1) div:nth-of-type(1)"
);
var result = {
avatarUrl: getAvatarImage(),
items: [],
};
for (const node of threadContainer.children) {
const markdownContent = node.querySelector(".markdown");
// tailwind class indicates human or gpt
if ([...node.classList].includes("dark:bg-gray-800")) {
result.items.push({
from: "human",
value: node.textContent,
});
// if it's a GPT response, it might contain code blocks
} else if ([...node.classList].includes("bg-gray-50")) {
result.items.push({
from: "gpt",
value: markdownContent.outerHTML,
});
}
}
return result;
}
function getAvatarImage() {
// Create a canvas element
const canvas = document.createElement("canvas");
const image = document.querySelectorAll("img")[1];
// Set the canvas size to 30x30 pixels
canvas.width = 30;
canvas.height = 30;
// Draw the img onto the canvas
canvas.getContext("2d").drawImage(image, 0, 0);
// Convert the canvas to a base64 string as a JPEG image
const base64 = canvas.toDataURL("image/jpeg");
return base64;
}
Then, send a POST request to the endpoint above with the following payload and request headers:
const res = await fetch("https://sharegpt.com/api/conversations", {
body: JSON.stringify(conversationData),
headers: {
"Content-Type": "application/json",
},
method: "POST",
});
This will return an object with an id
attribute which will be the unique identifier for the generated post:
const { id } = await res.json();
const url = `https://shareg.pt/${id}`; // short link to the ShareGPT post
https://sharegpt.com/api/conversations
GET: PLEASE NOTE: This endpoint is currently disabled due to excess traffic.
This endpoint takes 3 optional query parameters:
type
:- Used for sorting the results.
- Takes 2 string values:
"new" | "top"
"new"
sorts conversations by creation time"top"
sorts conversations by number of views- If
undefined
, defaults to"top"
page
:- Used for pagination
- Takes an integer value as a factor of the
PAGINATION_LIMIT
, which is set to 50. - E.g. to get posts 100 - 150, set
page
to3
- If
undefined
, defaults to1
search
- Used for filtering records by title.
- E.g.
search = "python"
returns all records with the word "python" in the title - If
undefined
, search results are not filtered
Example:
await fetch(
"https://sharegpt.com/api/conversations?type=new&page=2&search=python"
);
This returns a list of conversations with the following type:
interface ConversationMeta {
id: string; // unique id for the conversation
title: string; // title of the conversation (first user prompt)
avatar: string; // base64 encoded URI of the user's avatar
saves: number; // number of times the conversation is saved on ShareGPT
comments: number; // number of comments the conversation has on ShareGPT
views: number; // number of times the conversation has been viewed on ShareGPT
createdAt: Date; // timestamp when the conversation was creataed
}
[];