Build and Deploy a Chatbot App Using Streamlit and OpenAI | Dataquest Project Lab

In this video, Dataquest’s Director of Curriculum, Anna Strahl, will show you how to transform your “Sassy Chatbot” into a fully functional web app using Streamlit, giving your AI assistant a user-friendly interface ready for public use.

You’ll take your existing Python chatbot and bring it to life by integrating it with a clean, interactive UI. Along the way, you’ll learn how to manage user inputs, display chatbot responses, and add customization features like persona selection and message temperature.

This project is ideal for learners who are ready to build real-world tools using Python and Streamlit.

What You'll Learn:
Web App Development: Use Streamlit to create an interactive chatbot interface.
Chatbot Integration: Connect existing chatbot logic into a front-end experience.
Custom User Settings: Add options for users to adjust persona, temperature, and message length.
User Interaction Handling: Build a real-time chat experience with user input and chatbot responses.

Recommended Learning:
Developing a Dynamic AI Chatbot course: https://www.dataquest.io/course/promp...
Access the Project: https://app.dataquest.io/c/170/m/903

See the walkthrough solution: https://github.com/acstrahl/streamlit...

Video chapters:
00:00:00 - Intro
00:03:08 - Project brief
00:07:36 - Setting up the interface with Streamlit
00:18:59 - Initializing session state
00:28:06 - Adding chat input to the interface
00:36:22 - Deploying the app publicly
00:44:49 - Audience Q&A

#Python #streamlit #aichatbot #aiprojects #OpenAI #dataquest