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You're reading from  Building AI Applications with ChatGPT APIs

Product typeBook
Published inSep 2023
PublisherPackt
ISBN-139781805127567
Edition1st Edition
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Author (1)
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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Testing the Code Bug Fixer App

Now, we will learn how to test our Code Bug Fixer application. We will write some test cases to ensure that the application is functioning correctly and handling different scenarios appropriately. Testing is a critical part of software development, as it ensures that the application works as intended and meets the user’s requirements.

The Code Bug Fixer app can fix any programming language, making it a versatile tool. Therefore, we will demonstrate its effectiveness by using examples written in two different programming languages: Java and Python.

The Python example has the following properties:

  • Code:
    def factorial(n):
        if n == 0:
            return 1
        else:
            return n * factorial(n-1)
    print("The factorial of 5 is: " + factorial(5))
  • Error: Type Error:

This code is returning an error because...

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Building AI Applications with ChatGPT APIs
Published in: Sep 2023Publisher: PacktISBN-13: 9781805127567

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