GoogleAI: Gemini LLM API Implementation

Python API link to Google AI LLM

This repo contains a simple implementations of the GoogleAI API for using Gemini LLMs.

Installation Instructions

Prerequisites

• Python 3.x and Pip Python package manager installed
• Git distributed version control system installed

Installation Steps

1. Clone this repository:

   git clone https://github.com/colinmccrae/GoogleAI/

2. Navigate to the project directory:

   cd GoogleAI

3. Run the installation script: install.bat. If you do this you can move straight to Step 8. If you don't want to run this batch file, you can alternatively manually swtich to a virtual environment and install the dependencies as per Steps 4-7.

4. Create a virtual environment:

   python -m venv venv

5. Activate the virtual environment:

   venv\Scripts\activate

6. Install dependencies from requirements.txt

   pip install -r requirements.txt -U

7. Create a new file called '.env'.

8. Edit the .env file to add your API keys. Enter your GoogleAI API key into the .env file, as per example text shown below.

# GoogleAI API Key
GEMINI_API_KEY = "your_googleai_api_key"

9. Execute any of the Python scripts. For example: python main.py

Note: These will require API access to run and it may cost you money.

LLMs with Google

For more information about Google AI Studio, see the AI Studio Quickstart, and the Getting Started: Python pages.

Projects in this Repo

Below are the projects I'm currently working on in this repo.

1. main.py

A simple implemention of Google's Gemma 1.5 Pro model (gemini-1.5-pro-exp-0801).