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.

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

• Python 3.9 or higher
• Docker

1. Clone the repository:

git clone https://github.com/ra83205/google-bard-api.git
cd google-bard-api

2. Create a virtual environment and install the required packages:

python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt

3. Run the application using Uvicorn:

uvicorn main:app --reload --port 8000

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

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 "https://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: https://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.

To deploy this application using Docker, follow these steps:

1. Build the Docker image:

docker build -t your-image-name .

2. Run the Docker container:

docker run -p 8000:80 your-image-name

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

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.

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

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