How to Create a Simple Conversational AI Chatbot in GCP

In this article, I will show you how to leverage Google’s new Gemini API to build a simple conversational Chatbot. Let’s first start with the basics, shall we?

What is Gemini?

According to Google’s website, Gemini is a series of multimodal generative AI models developed by Google. Gemini models can accept text and image in prompts, depending on what model variation you choose, and output text responses. The legacy PaLM models accept text-only and output text responses.

To put it more simply, Google is now offering the ability to build powerful text and image AI models that can generative content, solve questions and analyze data in real time. This powerful pre-trained tool gives developers an easy way to deploy solutions like chatbots that can serve millions of customers in real-time. In this article, I will demonstrate a simple process to deploy a chatbot within GCP.

Step 1:

First, create a project within the GCP console. You will then need to open the Cloud Shell using the ‘Activate Cloud Shell’ icon in the top right of the screen.

Step 2:

In a simple text editor, create a file called ‘chatbot.py’ and fill it out with the code below:

import google.generativeai as genai…