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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, you learned how to develop a text translation application that can translate text from a Microsoft Word file into a target language selected by the user. The chapter covered the integration of Microsoft Word with the ChatGPT API using Python.

We learned how to use Tkinter to create a user interface for the text translation application. The user interface comprised a simple and user-friendly design that included a drop-down menu, with a list of languages to translate to, and a Browse button that allowed users to select a Word file. Once the user selected a file, the contents of the file were translated using the ChatGPT API, and the translated text was displayed in the large text field in the center of the window.

We also saw how to set up a docx Python library to extract text from Word documents. The docx library provided an interface to access information stored in Word files.

In the next chapter, Building an Outlook Email Reply Generator, you will...

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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