Welcome to this tutorial on building ChatGPT (Generative Pre-trained Transformer) using Django and OpenAI’s powerful language model. In this video, I’ll guide you through the step-by-step process of creating your very own interactive chatbot powered by the cutting-edge technology of OpenAI’s GPT-3.5 architecture.
This tutorial will provide you with the necessary knowledge to build and deploy a ChatGPT application using the Django framework. We’ll start by setting up the development environment, configuring Django, adding authentication, and integrating the OpenAI API for seamless language processing.
As we progress, I’ll demonstrate how to design and implement a user-friendly interface using Django’s templating system, allowing users to interact with your ChatGPT through a web-based interface. We’ll cover techniques for handling user input, processing requests, authentication, and generating meaningful responses that make the conversation flow more natural.
By the end of this tutorial, you’ll have a fully functional ChatGPT application that can understand and generate text responses.
Timestamps:
00:00:00 – Introduction
00:03:47 – Create a Django project
00:07:10 – Setup Views, Urls and Templates
00:15:28 – Adding Staticfiles
00:27:22 – Authentication in Django
00:59:32 – Sending Data to the backend using the Fetch API
01:19:33 – Adding some JavaScript
01:30:12 – Exploring OpenAI and Its Documentation
01:31:28 – Integrating OpenAI with Django
01:47:29 – Saving the prompts and response to the database
01:52:14 – Listing out the user’s prompts on the side bar.
01:57:38 – Conclusion and Summary.
01:58:06 – The End
Source Code:
https://github.com/ClintonCode20/chatgpt_with_django
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