Skip to content

This project provides a FastAPI wrapper for interacting with Google Bard, a conversational AI by Google. It allows users to send messages to Google Bard and receive responses through a simple API.

Amm1rr/Google-Bard-API

 
 

Repository files navigation

Google Bard API

This project provides a FastAPI wrapper for interacting with Google Bard, a conversational AI by Google. It includes a library for sending requests to Google Bard, and a simple API server for interacting with Bard through a REST API. This allows users to integrate Bard with their own applications or services through a single API endpoint.

Getting Started

These instructions will help you set up and run the project on your local machine for development and testing purposes.

Prerequisites

  • Python 3.9 or higher
  • Docker

Installation

  1. Clone the repository:
git clone https://github.com/Amm1rr/Google-Bard-API.git
cd Google-Bard-API
  1. Create a virtual environment and install the required packages:
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
  1. Run the application using Uvicorn:
uvicorn main:app --reload --port 8000

The application should now be running at http://localhost:8000.

Usage

Please obtain the cookies mentioned here from an authorized session on bard.google.com. The cookies can be used to send POST requests to the /ask endpoint along with a message in a JSON payload. It is important that the session_id, which is your __Secure-1PSID cookie, is included in the request.

Example request using cURL:

curl -X POST "http://localhost:8000/ask" -H "accept: application/json" -H "Content-Type: application/json" -d '{"session_id":"your-session-id","message":"What is the meaning of life?"}'

Example request using Postman:

  1. Open Postman and select the "POST" method

  2. Enter the URL: http://localhost:8000/ask

  3. Select the "Headers" tab and add a new key-value pair: Content-Type: application/json

  4. Select the "Body" tab, choose the "raw" option, and input the following JSON payload:

    {
      "session_id": "your-session-id",
      "message": "What is the meaning of life?"
    }
  5. Click "Send" to submit the request.

You should receive a JSON response from Google Bard containing the response message.

Note: If you want to protect the /ask endpoint with an authentication key, you can set the USER_AUTH_KEY environment variable to a string value of your choice. The authentication key will be compared against the Authorization header of incoming requests.

Deployment

To deploy this application using Docker, follow these steps:

  1. Build the Docker image:
docker build -t your-image-name .
  1. Run the Docker container:
docker run -p 8000:80 your-image-name

The application should now be running at http://localhost:8000.

Collaboration

I'm open to collaborating with other developers who want to help expand the functionality of this project. Feel free to fork the repository and submit a pull request with your proposed changes. I'd be happy to review them and merge them in if they're a good fit.

License

The code provided in this project is available for anyone to use for any purpose without any restrictions or warranties.

Acknowledgments

  • Google for creating Google Bard
  • FastAPI for providing a simple and efficient web framework

About

This project provides a FastAPI wrapper for interacting with Google Bard, a conversational AI by Google. It allows users to send messages to Google Bard and receive responses through a simple API.

Topics

Resources

Stars

Watchers

Forks

Languages

  • Python 91.1%
  • Dockerfile 4.8%
  • Shell 4.1%