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RAG Assistant App

Objectives

  • Understand the basics of Streamlit
  • Learn how to create interactive web applications
  • Integrate Streamlit with data science and machine learning workflows
  • Deploy Streamlit applications

Prerequisites

  • Basic knowledge of Python programming and Environments
  • Familiarity with data science and analytics concepts

Course Content

  • Introduction to Streamlit
  • Basic Streamlit Components
  • Layouts and Containers
  • Handling User Input
  • Displaying Data
  • Integrating with Machine Learning Models
  • Deploying Streamlit Apps

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License

This project is licensed under the MIT License. See the MIT License file for more details.

About

This repository contains materials for the Streamlit class at Next International Business School.

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  • Python 76.6%
  • Jupyter Notebook 23.4%