From the course: The AI Ecosystem for Developers: Models, Datasets, and APIs

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Create a conversational chatbot using the Google Gemini API

Create a conversational chatbot using the Google Gemini API

From the course: The AI Ecosystem for Developers: Models, Datasets, and APIs

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Create a conversational chatbot using the Google Gemini API

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- [Instructor] Conversational chatbots are one of the most popular use cases for artificial intelligence today. Historically, building capable chatbots required substantial development efforts, often starting from the ground up. However, with the advent of powerful pre-trained models, like Google's Gemini, developers can now leverage sophisticated conversational abilities much more readily, significantly simplifying the process. In this video, we demonstrate how to build a simple conversational chatbot in Python using one of the Gemini models through its API. First, pip install, google-generativeai. Then, import google-generativeai as genai. The next step is to configure your API key. Remember to replace this with your own key. Now, let's specify the Gemini model of choice. This means that you can as well use any other model that you prefer that has conversational ability. genai.GenerativeModel, and then we are going to use gemini-2.0-flash. We want the one that can think, so…

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