Integrating ChatGPT into your Django project – A step-by-step guide for developers

Are you looking to add conversational AI capabilities to your Django project? Look no further than ChatGPT! In this tutorial, we'll walk through how to integrate ChatGPT into your Dockerized Django project step-by-step.

Starting from the basic quickstart tutorials on the ChatGPT website, we'll build on our knowledge to create a fully functional chatbot that can understand natural language inputs and provide relevant responses. And with Docker, you'll be able to easily package and deploy your project to any platform.

Whether you're building a chatbot for customer service, personal assistance, or anything in between, this tutorial will give you the tools you need to get started quickly and efficiently. So let's dive in and start chatting with ChatGPT!

You can find the links for the project, as well as the tools and libraries used, below:

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[JeffTSanders]

Cool stuff. I may be wrong, but I think the reason your code's super-pet example names came out weird (i.e. not related to the breed entered) was because you appear to be returning a static text prompt from "generate_prompt" that does not have the breed variable injected into it. Maybe add in "breed" to the prompt text and ChatGPT will do a better job on the responses. Thanks for the example!

[gareth]

Great stuff, love to see you do a whole series on this and maybe the BARD api. This stuff is not going anywhere and it kind of feels like being comfortable with using and integrating it is going to become a prerequisite. Why the davinci model and not GPT 3.5 or 4?

[amithkulkarni]

do we need models and fields to do this..
if i try to do without index files..
for api backend

[ibrahimjaballa]

When I use chatgpt to help me build a social media platform using django, can I use another API from outside platform.openai? chatgpt is banned in my country 😭