Gemini AI Model API Usage

This is a simple example for using Google Gemini AI models using their API for Educational and Research purposes.

Getting Started

These instructions will get your copy of the project up and running on your local machine.

Prerequisites

• Google API Console account and a project
• Google API Key for Generative Language Models
• Git
• Python
• Jupyter Notebook

Setup

1. Create a Project in Google API Console
   Create a new project in the Google API Console to use the Google Generative Language Model API.

2. Enable Google Generative Language Model API
   Enable the Google Generative Language Model API for your project in the Google API Console.

3. Create an API Key for Gemini in AI Studio
   Generate an API key in AI Studio under the Gemini project.

4. Copy the API Key
   Securely copy the generated API key.

5. Clone/Fork the GitHub Repository
   Clone or fork this repository to your local machine.

6. Add Your API Key to credentials.ini
   Add your API key to the credentials.ini file in the cloned repository.

[API_KEY]
google_api_key = #PASS YOUR API KEY HERE

7. Create the Environment
   Set up the Python environment. Note: Platform-specific libraries might cause errors. Provided environment file is exported from a Linux Environment.

8. Execute the Jupyter Notebook
   Run Jupyter Notebook and navigate to the project notebook.