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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.
Read more about Martin Yanev

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Adding Payments to a ChatGPT Application

In this section, I will guide you through the process of creating the payment page and functions in the Code Bug Fixer. We will create a payments page connected with Stripe to offer users three different subscription plans:

  • Monthly plan: Users will be billed $5 every month
  • Quarterly plan: Users will be billed $12 every quarter
  • Annual plan: Users will be billed $50 every year

We will also create a confirmation page that will confirm the plan that a user has purchased by using a simple statement such as “You have successfully paid $12 for the quarterly plan for unlimited access to the Code Bug Fixer.”

Next, you will learn how to create the payment.html file.

Building the Payments Page

Here, we will create a complete HTML document that includes a form to collect payment information from users. We will use the Bulma CSS framework to style the page and include jQuery and the Stripe API to handle the payment...

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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