Title: Understanding Streamlit

  • Understanding Streamlit
  • Setting up Streamlit Project with pip and venv
  • Working with Streamlit
  • Debugging Streamlit Apps in VS Code

Overview

Streamlit is a Python library that makes it a breeze for us to create and share web applications. Streamlit is gaining traction among developers working with large language models (LLMs) for its ability to streamline web application development.

It's perfect for data scientists and developers eager to display their work, from data visualizations to interactive tools, without diving deep into the complexities of web development. The beauty of Streamlit is its simplicity in transforming data scripts into fully functional web apps with just a few lines of code, making it a go-to for quick project prototyping.


Why Streamlit?

  • ✦ Simplicity in Coding:
    • Streamlit's syntax is user-friendly. You can craft interactive elements like sliders, buttons, and charts effortlessly.
  • ✦ Speedy Development:
    • It cuts down on development time by eliminating the need to handle backend logic, design the frontend, or manage their integration.
  • ✦ Versatility:
    • Sharing Streamlit apps is straightforward, whether it's deploying them on servers or incorporating them into existing Python projects.
    • It's compatible with a wide range of data visualization libraries, including Matplotlib, Plotly, and Altair.
  • ✦ Built-in Interactivity:
    • Streamlit apps are inherently interactive, offering a more dynamic and insightful way to present data analyses compared to static displays.

Tons of Resources for Building LLM Applications

  • Tens of thousands of developers use Streamlit as their go-to platform to experiment and build generative AI apps.
  • There is a big community of developers and online resources.
    • Running into issues? Likely somebody else has also faced the same issues before.
    • Just search your issue online and you will likely find a solutions/workarounds to solve your problem.
  • You can visit this page Streamlit • A faster way to build and share data apps to see the various "Getting Started" guides on building different types of LLM applications.

You can visit the gallery here to get a sensing of the application that you can build using Streamlit.
App Gallery • Streamlit

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Table Of Contents
Title: Understanding Streamlit
Overview
Why Streamlit?
Tons of Resources for Building LLM Applications