In the third episode of our Taipy Tech Talk series, we dive into the fascinating world of AI-powered applications. This time, our team walks you through how to build a fully functional GPT-4 chatbot app — entirely in Python, using the Taipy framework.

Whether you're an AI enthusiast, a Python developer, or someone curious about integrating large language models (LLMs) into real-world apps, this live-coding session is packed with practical insights.

👥 Meet the Speakers

Hosted by two of our in-house experts:

• Alexandre Sajus – Customer Success Engineer at Taipy
  Alexandre helps clients succeed with Taipy by providing expert guidance and ensuring smooth, scalable deployments of their apps.
• Florian Jacta – Community Success Engineer at Taipy
  Florian supports and grows the Taipy community, helping developers unlock the full potential of the framework while shaping its evolution through feedback.

🧠 What You’ll Learn

In under an hour, you’ll see how to build a real GPT-4 chat application with a Python-native interface, using only the tools you already know.

Here’s what’s covered:

• How to connect Taipy to the OpenAI GPT-4 API
• How to design a simple and responsive chat interface with Python
• How to manage user inputs, outputs, and app logic using Taipy’s callback system
• How to make your app interactive and production-ready — no front-end coding required!

From backend integration to frontend behavior, this webinar gives you everything you need to create a powerful, sleek chatbot.

🎥 Watch the Replay

Ready to build your own AI chatbot in Python?

👉 Watch the full episode here

You’ll walk away with a working prototype and a clear understanding of how to build on it for your own use case — whether it’s for customer support, internal tooling, or just to explore what LLMs can do.

💡 Why It Matters

Generative AI is transforming the way we build and interact with applications. With Taipy, you can bring those innovations to life faster — without worrying about front-end frameworks, deployment headaches, or tech stack complexity.

This session is perfect for those looking to integrate GPT models into real apps while staying entirely within the Python ecosystem.