Data Science-AI-Cloud Sundays - The "Gemini" Chatbot
Автор: Data Science-AI-Cloud with Pablo
Загружено: 2025-12-22
Просмотров: 28
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.
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