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PROJECT


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.

Skills

API Integration

Web Frameworks

Conversational Assistant

Prerequisites

Basic understanding of API integration

Intermediate knowledge of Flask

Intermediate knowledge of Python

Technologies

Flask

OpenAI

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

1

Manage the Database

Task 0: Getting Started

Task 1: Configure the Database

Task 2: Create a Database

Task 3: Create the Response Model

2

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

3

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

Congratulations!