Enhancement of ChatGPT using API Wrappers Techniques

Authors

  • Muhanad T. Younis Department of Computer Science, Collage of Science, Mustansiriyah University, 10052 Baghdad, IRAQ.
  • Nadia Mahmood Hussien Department of Computer Science, Collage of Science, Mustansiriyah University, 10052 Baghdad, IRAQ.
  • Yasmin Makki Mohialden Department of Computer Science, Collage of Science, Mustansiriyah University, 10052 Baghdad, IRAQ. https://orcid.org/0000-0003-2401-0505
  • Komeil Raisian Faculty of Information Science and Technology, the National University of Malaysia, Selangor, MALAYSIA.
  • Prabhishek Singh School of Computer Science Engineering and Technology, Bennett University, Greater Noida, INDIA. https://orcid.org/0000-0002-9338-0932
  • Kapil Joshi Department of Computer Science and Engineering, Uttaranchal University Dehradun, INDIA. https://orcid.org/0000-0003-1097-8347

DOI:

https://doi.org/10.23851/mjs.v34i2.1350

Keywords:

API wrappers, ChatGPT, GPT-3, OpenAI, HTTP requests

Abstract

This study looks at how API (Application Programming Interface) wrapper technology can make it easier to use complex functions by putting together a lot of API calls. These packages have non-real-time interfaces that are hard to use. ChatGPT is a chatbot-specific GPT-3 language paradigm. It lets developers create chatbots that respond intelligently to natural language user input, creating a more engaging user experience. This article shows that ChatGPT, Python, and API wrapper technology may be used to develop a smart chatbot. We show how to use the OpenAI API library to add ChatGPT to Python programs. This makes it easier for developers to make chatbots that sound and act more like real people when they talk. Our contribution to this field is showing that it is possible to make smart chatbots with ChatGPT and API wrapper technology. To reach this goal, we use a system that combines the OpenAI API with ChatGPT and Python. This gives us valuable information about how to make smart chatbots. The efficiency of the system has been tested many times while applying it to different environments, and the results are satisfactory.

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References

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Key Dates

Published

30-06-2023

Issue

Section

Original Article

How to Cite

[1]
M. T. Younis, N. M. . Hussien, Y. M. . Mohialden, K. . Raisian, P. . Singh, and K. . Joshi, “Enhancement of ChatGPT using API Wrappers Techniques”, Al-Mustansiriyah J. Sci., vol. 34, no. 2, pp. 82–86, Jun. 2023, doi: 10.23851/mjs.v34i2.1350.

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