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You're reading from  Building AI Applications with ChatGPT APIs

Product typeBook
Published inSep 2023
PublisherPackt
ISBN-139781805127567
Edition1st Edition
Concepts
GPT/LLMs
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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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Building a Desktop Application with PyQT

In this section, you will gain hands-on experience in creating various components of the PyQt application’s user interface, such as windows, labels, buttons, text fields, and drop-down menus. Here, you will set up the PyCharm project, install the PyQt6 and docx libraries, and build your desktop application frontend.

First, let’s discuss what the PyQt library is, and how it differs from the rest of the Python application development tools, such as Tkinter (see Table 8.1). PyQt is a powerful Python framework widely used for creating desktop applications with rich graphical user interfaces (GUIs). It provides developers with a comprehensive set of tools, classes, and functionalities to design and build intuitive and visually appealing applications. PyQt is a wrapper around the popular Qt framework, offering seamless integration of Qt’s extensive libraries and widgets into Python.

Important Note

PyQt is available under...

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Building AI Applications with ChatGPT APIs
Published in: Sep 2023Publisher: PacktISBN-13: 9781805127567
© 2023 Packt Publishing Limited All Rights Reserved

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

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