Python + Flask + ChatGPT + Heroku: A Guide to Deploying a Personalised AI Chatbot in Minutes

The journey of developing and deploying simple web applications has never been easier thanks to powerful tools like ChatGPT, Flask and Heroku. Flask: a lightweight and intuitive web framework that simplifies the development process, allowing developers to focus on the core functionality of their chatbot. With ChatGPT, the integration of AI becomes seamless, enabling dynamic and engaging conversations with users. Finally, Heroku takes the pain out of deployment by providing a user-friendly platform that handles infrastructure management and scalability.

The world of AI is moving fast, the combination of Flask, ChatGPT, and Heroku makes it easier than ever to create and deploy web applications with AI integrations, so you can focus on the what rather than the how.

The Spiteful Programmer

I watched an interesting talk about prompt injection and how easy it is to take a really powerful generic tool and tailor it to certain cases. Based on that, I had some fun going back and forth with ChatGPT until I’d created a prompt to initially set the ‘personality’ of ChatGPT.

In the next few paragraphs I’ll explain how you can go from a similar prompt idea, all the way through to a web app, similar to the one I created here in a matter of minutes. All of the code was generated by ChatGPT.