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.

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/yourusername/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

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

You can send POST requests to the /ask endpoint with a JSON payload containing a session_id (your __Secure-1PSID cookie) and a message.

Example request:

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?"}'

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

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 4000:80 your-image-name

The application should now be running at http://localhost:4000.

pp21§1 If you would like to contribute to this project, please feel free to submit a pull request or open an issue.

This project is licensed under the MIT License - see the LICENSE file for details.

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