AI with Python using Google Gemini (Web App)

Level: Real-World

Project Level: Real-World
This project is designed for learners who know Python fundamentals and are learning to build real-world programs.

Project Description

In yesterday’s project we build a command line interface (CLI) AI based on the Google Gemini models:

import google.generativeai as genai

# Replace 'YOUR_API_KEY' with your actual Gemini API key
genai.configure(api_key='YOUR API KEY')

model = genai.GenerativeModel('gemini-2.0-flash-exp')


print("Gemini is ready! Type 'exit' to quit.")
while True:
    user_input = input("Me: ")
    if user_input.lower() == 'exit':
        print("Goodbye!")
        break
    response = model.generate_content(user_input)
    print("Gemini:", response.text)

Today, we will build a web app version where users can interact with the AI from using a user-friendly interface directly from their browser.

Here is how the app will look like:

We will use the Python Flask framework to build this web app. The solution provided in the “Show Code” button down below provides the Python code and also the HTML and Javascript code needed to implement the frontend. It also includes the complete steps to get the app up and running.

Prerequisites

Required Libraries: google-generativeai, flask
pip install google-generativeai flask
Required Files: No files are required, but you need an API key from Google AI Studio.
IDE: Use any IDE.

Danger Zone

The solution code is hidden behind the button below. Click to reveal it.

Happy Coding!
Daily Python Projects Team