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PROJECT
Build a Chatbot with Gemini Pro Using Flask
In this project, we’ll build a responsive AI chatbot using Gemini Pro and Flask. The chatbot will provide dynamic, session-aware responses, showcasing real-time language capabilities in a web interface.
You will learn to:
Create a functional chatbot.
Set up a Flask web application.
Integrate the Gemini Pro model into a Python application.
Handle API interactions in a Flask application.
Skills
API Integration
Web Frameworks
Conversational Assistant
Prerequisites
Intermediate knowledge of Python
Intermediate knowledge of Flask
Gemini Pro API Key
Basic understanding of API integration
Technologies
Flask
Gemini
Python
Project Description
In this project, we will build a responsive AI chatbot using Flask and Gemini Pro that delivers smart, real-time responses based on user input.
The chatbot will maintain session context, enabling more natural, conversation-like interactions across multiple messages. We will explore key web development concepts such as form handling, dynamic UI updates, and session management using Flask.
With Gemini Pro’s language generation capabilities, the chatbot will understand various questions and respond intelligently. This project demonstrates how AI can create interactive and personalized web experiences.
Project Tasks
1
Initial Setup
Task 0: Get Started
Task 1: Get Gemini API
2
Create a Flask Application
Task 2: Create the Basic Template Layout
Task 3: Set Up Basic Routing and Render the Frontend
3
Integrate the Gemini API
Task 4: Create the Query Input Form
Task 5: Send the User Query
Task 6: Handle the User Query
Task 7: Render the Response from the API
Task 8: Implement Loading Spinner on Query Submission
Task 9: Add Question History View
Congratulations!
Relevant Courses
Use the following content to review prerequisites or explore specific concepts in detail.