Building an AI-Powered Video Analysis App with Streamlit & Google Gemini

🚀 Introduction

With AI advancements, building powerful applications has never been easier. In this tutorial, I’ll show you how to create a Streamlit-based Video Analysis Agent that utilizes Google Gemini 2.0 Flash to analyze video content and generate insights. With just a few lines of code, you can process and analyze video files dynamically using AI-powered APIs. Let’s dive in!

Prerequisites

To follow along, make sure you have the following installed:

• Python 3.7+
• Streamlit (pip install streamlit)
• Google Generative AI SDK (pip install google-generativeai)

You’ll also need an API key for Google Gemini. You can obtain one from Google AI Studio.

Step 1: Setting Up the Project

Create a new Python file, e.g., app.py, and add the following imports:

import streamlit as st
from google import genai
import time

• Streamlit: A lightweight framework for creating interactive web apps with Python.
• Google Generative AI (genai): A library to interact with Google’s Gemini models.
• Time module: To handle processing delays.

Step 2: Initializing Google Gemini API