Data Science-AI-Cloud Sundays - The "Gemini" Chatbot скачать в хорошем качестве

Data Science-AI-Cloud Sundays - The "Gemini" Chatbot

Build & Host Your Own AI Assistant: From Python Script to Google Cloud! Welcome back to Data Science, AI & Cloud Sunday! In this episode, we build the Gemini Chatbot App. We’re moving beyond simple scripts to build a professional, hosted software solution. If you’re a data scientist who wants to learn how to deploy your AI models so the world can use them, this walkthrough is for you! 🎯 The Goal Create a sleek, functional web application that allows users to interact with Google's Gemini Pro model in real time. 🏗️ The Architecture We’ve designed this to be "Cloud Native" yet simple: Frontend: Built with Streamlit (Pure Python—no HTML/CSS required!). Compute: Hosted on Google Cloud Run for automatic scaling and cost-efficiency. AI Engine: Powered by Vertex AI to access the Gemini API. 📝 What You Will Learn (Step-by-Step) Environment Setup: Setting up your Google Cloud Project and enabling APIs. The Python Code: Writing the Streamlit app to handle user input. Gemini Integration: Connecting your app to Vertex AI Gemini Pro. Containerization: Briefly explaining how the app is "packaged" for the cloud. Deployment: Using one command to host your app live on Cloud Run.