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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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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.
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Summary

In this chapter, we covered the complete development of the Outlook email reply generator using Outlook and ChatGPT API with the state-of-the-art GPT-4 model. We learned how to retrieve email data from Outlook using the win32com library and display the email subjects in a drop-down menu using the tkinter library. We wrote the code to connect to the Outlook application, access the default email inbox folder, and retrieve the last 10 email subjects. We also covered the creation of the user interface, including the main window, the drop-down menu, and a label.

We also learned the process of building the reply() function, which retrieved email data from Outlook, generated AI-powered responses using the ChatGPT API, and displayed the generated reply in a separate window for reviewing and editing. The chapter also explained how to integrate the reply() function into the application and how to create a button in the user interface that triggers the reply() function. We also tested...

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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