Tutorial Shows How to Build a Python Chatbot Using Flask and Google's Gemini API

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A DEV Community article explains how large language models can be integrated into web applications through external APIs. It describes a simple chatbot built with Python and Flask, where Google's Gemini API generates responses to user prompts. The project uses a client-server design, with HTML, CSS and JavaScript handling the chat interface and Flask processing requests on the backend. The article stresses secure API key storage through environment files, input validation, and graceful handling of errors such as 503 UNAVAILABLE. It presents the project as a practical starting point for developers exploring conversational AI interfaces.

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