Large Language Models (LLMs) are transforming how users interact with software applications. Instead of relying only on predefined responses, applications can now generate context-aware answers using AI-powered APIs. One practical way to explore this technology is by integrating Google's Gemini API into a Python-based chatbot.

This project focuses on building a simple conversational chatbot using Python, Flask, and the Google Gemini API. The objective is to understand how an external language model can be connected to a web application and how communication between the frontend and backend makes an interactive experience possible.

Understanding the Integration

The application follows a client-server architecture. The frontend provides a chat interface where users can enter messages and view responses.…