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tbardo

v1.0.0

Published

A reverse engineered API for Google Bard chatbot

Downloads

13

Readme

GoogleBard - A reverse engineered API for Google Bard chatbot [Discord]

NPM NPM GitHub issues GitHub forks GitHub stars GitHub license Discord server

A simple Node.js module for creating ChatGPT using OpenAI official API.

Installation

To install the package, run the following command:

npm install googlebard
import { Bard } from "googlebard";

let bot = new Bard(`YOUR_COOKIES`);

let response = await bot.ask("Hello?");
console.log(response);

Features

  • Simulating Response Streaming: The package simulates response streaming, allowing you to get the response as soon as it is available.
  • Multiple conversations: The package supports multiple conversations, allowing you to have multiple parallel conversations with the chatbot.
  • Proxy Support: The package supports proxies, allowing you to use the chatbot from any location.
  • Lightweight: The package is very lightweight, making it easy to use and integrate into your projects.

You must be whitelisted by google to use this package.

You must be whitelisted by google to use this package. You can join waitlist by going to https://bard.google.com and clicking on "Join Waitlist" button.

You can use USA proxies to get whitelisted.

How to get cookies?

  1. install Cookie-Editor extension.
  2. Go to https://bard.google.com and login.
  3. Click on the extension icon and copy a cookie starting with __Secure- for example __Secure-1PSID
  4. Paste the cookie in your code.

Usage: Using a USA proxy is recomended!

import { Bard } from "googlebard";

let cookies = `__Secure-1PSID=<YOUR_COOKIE>`;

let bot = new Bard(cookies, {
	proxy: {
		// optional
		host: process.env.PROXY_HOST,
		port: process.env.PROXY_PORT,
		auth: {
			username: process.env.PROXY_USERNAME,
			password: process.env.PROXY_PASSWORD,
		},
		protocol: "http",
	},
});

let conversationId = "conversation name"; // optional: to make it remember old conversations

let response = await bot.ask("Hello?", conversationId);
console.log(response);

// Simulating response streaming

await bot.askStream((res) => {
	console.log(res);
}, "Hello?", conversationId);