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Build a Chatbot with OpenAI GPT-3 using Flask

In this project, we'll build a chatbot in Flask using OpenAI GPT-3 model. We’ll use the GPT-3 API from OpenAI to create a chatbot for replying to user queries.

Build a Chatbot with OpenAI GPT-3 using Flask

You will learn to:

Create a Flask application using templates.

Build a chatbot using OpenAI API.

Integrate an API in a Flask application.

Render responses of APIs on templates.


API Integration

Web Frameworks

Conversational Assistant


Basic understanding of API integration

Intermediate knowledge of Flask

Intermediate knowledge of Python





Project Description

GPT-3 is the third version of the Generative Pre-trained Transformer (GPT) series. It is a pre-trained neural network model used for producing human-like text. It has been trained by almost 570 GB of text information and consists of 175 billion parameters that require 800 GB of storage. The text generated by GPT-3 is of such high quality that it is challenging to distinguish it from that written by a human.

In this project, we’ll create a chatbot in Flask. We’ll integrate the GPT-3 API with the chatbot to get the responses to user queries. We’ll also maintain a history of all API user queries and responses.

Project Tasks


Manage the Database

Task 0: Getting Started

Task 1: Configure the Database

Task 2: Create a Database

Task 3: Create the Response Model


Create Views

Task 4: Create the Base View

Task 5: Render the Frontend

Task 6: Add a History Button

Task 7: Create the Response View

Task 8: Create a History View


Integrate the API

Task 9: Import the Modules

Task 10: Get a Response from GPT-3

Task 11: Get the Query from the Frontend

Task 12: Render the Response

Task 13: Render the History Data