Gemini Pro Quickstart 🚀

A clean, production-ready Python starter kit to interact with Google's Gemini Pro API. This project demonstrates authentication handling and generative text processing in a modular script.

Developed by WisdomFirm for developers exploring LLM integration.

⚠️ Development Notice (v0.1.0)

This project is currently a pre-release version (v0.1.0). It is designed for educational purposes and rapid prototyping. Production implementation may require additional error handling and security measures.

Prerequisites

• Python 3.9 or higher
• A Google Cloud project with the Gemini API enabled
• An API Key for the Gemini API

Installation

1.  Clone the repository:     bash     git clone [https://github.com/WisdomFirm/gemini-pro-quickstart.git](https://github.com/WisdomFirm/gemini-pro-quickstart.git)     cd gemini-pro-quickstart    

2.  Install dependencies:     bash     pip install -r requirements.txt    

Usage

1.  Set up your API Key:     You can set your API key as an environment variable named GOOGLE_API_KEY.

    On Linux/macOS:     bash     export GOOGLE_API_KEY="YOUR_API_KEY"    

    On Windows (Command Prompt):     cmd     set GOOGLE_API_KEY=YOUR_API_KEY    

    On Windows (PowerShell):     powershell     $env:GOOGLE_API_KEY="YOUR_API_KEY"    

2.  Run the script:     bash     python main.py    

Example Output

--- Generating content with Gemini Pro --- 

Prompt: Write a short, inspirational quote about learning and technology.

Response:
"Technology is the brush, but learning is the art. Together, they paint a future limited only by our imagination."
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License

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

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