Building an AI Chatbot with Streamlit

  • Guided Project
  • 0.1 hours
  • Intermediate

Practice integrating an AI chatbot with Streamlit to create an interactive user interface and deploy a public app.

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Overview

In this project, you'll take on the role of a Python developer to create a user-friendly interface for your "Sassy Chatbot" using Streamlit. You'll integrate the chatbot's backend logic with Streamlit's interactive widgets, allowing users to customize the conversation. By applying your skills in API integration, session state management, and UI design, you'll create an engaging chatbot experience. You'll also learn best practices for securing API keys and deploying your app for public access, adding an impressive project to your portfolio. Objective: Use Streamlit to create an interactive interface for an AI chatbot, demonstrating your ability to integrate backend logic with frontend design and deploy a public app.

What You'll Learn

  • ✓ Integrate the OpenAI API with Streamlit to bring the chatbot to life.
  • ✓ Enhance user interaction using Streamlit's dynamic widgets.
  • ✓ Implement best practices for API key security.
  • ✓ Deploy your chatbot application for public access.

Before You Start

  • ✓ Implementing basic Streamlit elements
  • ✓ Arranging content with Streamlit's layout features
  • ✓ Implementing session state to manage user inputs and responses
  • ✓ Adding interactive chat inputs in a Streamlit application

Project Steps

3 steps

  1. 1 Introduction
  2. 2 Creating the Streamlit App
  3. 3 Next Steps
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