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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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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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Performing Multiple ChatGPT API Requests

Let’s first dive into the ChatGPT API requests and learn how to build your project and the app.py file. In this project, we will explore how to make multiple ChatGPT API requests to get the explanations and fixed code for our input queries. We will go through each step of the process and provide clear examples, so you can follow along with ease.

To fix users’ code, ChatGPT needs two key components: some buggy code and the error provided by the system. The idea behind the Code Bug-Fixing application is that you provide ChatGPT with two separate requests simultaneously (see Figure 3.1):

  • Request 1: ChatGPT uses the buggy code and the error to fix the code.
  • Request 2: ChatGPT uses the buggy code and the error to explain the error to the user in plain English.
Figure 3.1: Code Bug Fixer Request/Response Map

Figure 3.1: Code Bug Fixer Request/Response Map

As shown in Figure 3.2, the design of the code bug-fixing app is a web application...

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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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