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You're reading from  Building AI Applications with ChatGPT APIs

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Published inSep 2023
PublisherPackt
ISBN-139781805127567
Edition1st Edition
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Martin Yanev
Martin Yanev
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Martin Yanev

Martin Yanev is an experienced Software Engineer who has worked in the aerospace and industries for over 8 years. He specializes in developing and integrating software solutions for air traffic control and chromatography systems. Martin is a well-respected instructor with over 280,000 students worldwide, and he is skilled in using frameworks like Flask, Django, Pytest, and TensorFlow. He is an expert in building, training, and fine-tuning AI systems with the full range of OpenAI APIs. Martin has dual master's degrees in Aerospace Systems and Software Engineering, which demonstrates his commitment to both practical and theoretical aspects of the industry.
Read more about Martin Yanev

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Quiz Generation App with ChatGPT and Django

In this chapter, we will delve into the exciting world of combining the power of ChatGPT, a cutting-edge language model, with Django, the widely acclaimed Python framework for app development. Together, we will explore how to build a dynamic and interactive exam generation application that leverages artificial intelligence.

In the previous chapters, we primarily focused on Flask, a lightweight and basic web framework. However, in this chapter, we will focus on Django, a robust and advanced framework that has been instrumental in constructing some of the most renowned and widely used applications, including Instagram, Dropbox, and Pinterest. You will have the opportunity to explore the capabilities of Django, which include features such as database management, authentication system, admin interface, and form handling.

You will learn how to build a Django project from scratch, including setting up the environment and creating the foundational...

Technical Requirements

You will need to cover some basic software installations before continuing with this chapter. In addition, the installation of the Django web framework will be demonstrated in the next section.

The project entails the following technical prerequisites:

  • Python version 3.7 or higher installed on your local machine
  • A code editor, with PyCharm recommended for an optimal experience
  • An OpenAI API key to access the necessary API functionalities

You can access the code examples used in this chapter on GitHub at the provided repository: https://github.com/PacktPublishing/Building-AI-Applications-with-ChatGPT-APIs/tree/main/Chapter05%20QuizApp/quiz_project

Building a Django Project

In this section, we will embark on the exciting journey of building a Django project that forms the foundation of our quiz generation application. We will guide you through the step-by-step process of setting up and structuring your Django project, ensuring that you have solid groundwork to build upon. By the end of this section, you will have a fully functional Django project that can facilitate the automated generation of quizzes based on study materials.

Our adventure begins with the installation of Django and the creation of a new Django project. We will walk you through the process of setting up your development environment, including the installation of Python and the Django framework. With Django in place, we will use the command-line interface to generate a new Django project, providing you with the necessary directory structure and initial configuration files.

We can start by launching PyCharm and clicking on New Project or going to File | New...

Creating the Exam App Frame and Views

In this section, we will focus on building the fundamental structure of your Django application. We will begin by exploring the Django settings, where you will learn how to configure important aspects such as database connections and middleware components. Understanding and properly setting these configurations is essential for the smooth operation of your application.

We will also learn URL handling in Django. You will discover how to define URL patterns using the urls.py file, enabling seamless navigation within your application. We will also cover dynamic URLs using regular expressions, allowing flexible and dynamic routing. Additionally, we will guide you through the process of incorporating a base template, which will provide consistent menus, sidebars, and views throughout your application.

Connecting Django Views and URLs

In Django, the relations between views, app URLs, and project URLs form a crucial structure to handle and route...

Integrating ChatGPT and Django for Quiz Generation

In this section, we will explore the exciting task of generating questions using the ChatGPT API within your Django application. This powerful functionality will allow you to create interactive quizzes based on user-provided text input. By handling POST requests from the user and leveraging the capabilities of the ChatGPT API, you will be able to dynamically generate insightful questions that enhance user engagement and knowledge acquisition.

The process begins by incorporating a field in your Django application where users can input text. Once the user submits the text by clicking the submit button, the magic unfolds as your application utilizes the ChatGPT API to generate relevant and contextually accurate questions based on the provided text. These questions are seamlessly displayed to the user, enabling an interactive and educational experience. By automating the question generation process, you can save time and effort while...

Storing and Downloading Generated Quizzes

In this next section, you will learn how to build the quiz download functionality for your Quiz Generation app. By incorporating a database and creating a dedicated page for downloading quizzes, you will empower your users to access and utilize the quizzes they generate. This feature will enhance the overall user experience by providing a seamless way to save and retrieve quizzes, enabling users to revisit and share their generated content effortlessly.

We will explore the process of saving generated quizzes in a database using Django’s models and database management capabilities. By defining the appropriate database structure and implementing the necessary views and templates, you will be able to create a user-friendly page where users can browse and download their generated quizzes. With this functionality in place, your Quiz Generation App will offer a comprehensive solution to generate, store, and access quizzes, further enriching...

Summary

In this chapter, the focus was on building a Django project for a quiz generation application. We provided a step-by-step guide to set up and structure the project, including the installation of Django and important aspects such as database initialization, running a development server, and understanding the flow of views and URLs in Django. We also explored the concept of templates and demonstrated how to incorporate external CSS resources such as the Bootstrap framework.

We also explained how to integrate ChatGPT and Django for quiz generation. We illustrated the process of adding a text input field and a submit button to the application’s interface, enabling users to generate relevant questions using the ChatGPT API. We also discussed how to test the Quiz Generator application and outlined the next steps, which involve building a database to store the generated questions. You learned how to store the generated quizzes in an SQLite database, using Django’s...

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Published in: Sep 2023Publisher: PacktISBN-13: 9781805127567
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Author (1)

author image
Martin Yanev

Martin Yanev is an experienced Software Engineer who has worked in the aerospace and industries for over 8 years. He specializes in developing and integrating software solutions for air traffic control and chromatography systems. Martin is a well-respected instructor with over 280,000 students worldwide, and he is skilled in using frameworks like Flask, Django, Pytest, and TensorFlow. He is an expert in building, training, and fine-tuning AI systems with the full range of OpenAI APIs. Martin has dual master's degrees in Aerospace Systems and Software Engineering, which demonstrates his commitment to both practical and theoretical aspects of the industry.
Read more about Martin Yanev