from google import genai

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Gemini 3.5 Flash

Gemini 3.5 Flash - Model Card — Google DeepMind

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Why it worked

The video provides a concise and practical demonstration of building a Gemini bot in Python, making it highly valuable for developers interested in AI integration. The use of a conversational loop and chat history adds a layer of sophistication that appeals to users looking for more advanced chatbot functionalities.

Summary

This video demonstrates how to build a Gemini bot using Python and the Google GenAI SDK. It covers initializing the client, making API calls, and implementing a conversational loop with chat history.

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Transcript, structure and on-screen text

5 beats, a 49-word transcript and 5 lines of on-screen text — the parts you need to write your own version.

Original caption

Build Your Own Gemini Bot in Python (in 60 Seconds) #python #coding #programming In this video you'll build a fully working Gemini bot from scratch using Python and the Google GenAI SDK. Starting from a single API call, add a user input function and then a full conversation loop with memory, all in under twenty lines of code. You'll learn how to initialize the Gemini client, send messages to gemini-3.5-flash, and use the built-in chat session to keep track of conversation history automatically. All you need is Python and a Gemini API key.