Gemini Chatbot Setup

This document outlines the steps to set up and run the Gemini chatbot application.

Prerequisites

• Python 3.6 or higher
• Git (for cloning the repository)

Installation

Clone the Repository

Clone this repository to your local machine:

Create a Virtual Environment

Create a virtual environment to manage your project dependencies:

For Linux/MacOS:

python3 -m venv gemini_env
source gemini_env/bin/activate

For Windows:

python -m venv gemini_env
gemini_env\Scripts\activate

Install Dependencies

Install the required Python packages using pip:

pip install google-genai
pip install dotenv

Configure the Environment

Create a .env file in the root of your project directory to store your API key.

touch .env

Add your Google Gemini API key in the .env file to project root

Ini, TOML

GEMINI_API_KEY="your-api-key-here"

Important: Replace "your-api-key-here" with your actual Google Gemini API key.

Run test

test.py created without using .env

• replace your API key directly to check wheter test environment

from test.py

2 |
3 | client = genai.Client(api_key="Add_your_API_Key")
4 |

Run the Chatbot

Run the chatbot script to start the application:

python3 gemini_chat.py

Deactivate the Virtual Environment (Optional)

Once you're done, you can deactivate the virtual environment:

deactivate