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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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Frontend HTML Generation

Let’s start creating the HTML and CSS necessary to generate the frontend of our chat application. We will be using HTML, CSS, and Bootstrap to create the user interface and jQuery to handle the communication between the frontend and the backend. The HTML and CSS will be responsible for creating the structure and style of the user interface.

When creating a Flask web application, it is recommended to keep your HTML files in a separate folder called templates. This is because Flask uses the Jinja2 template engine, which allows you to write reusable HTML code in a more modular way by separating it into smaller, reusable pieces called templates.

To create the templates folder, simply create a new directory in your project directory and name it templates. Inside the templates folder, you can create your HTML file, called index.html in this case. To do that, right-click on the templates folder and select New | HTML file. Here is what the project directory...

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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