presentation/talk_v1.qmd

---
title: "App-solutely Fabulous: A Data Scientist's Guide to Choosing Python Web Tools Wisely"
author: "Alan Feder"
format: 
  revealjs:
    theme: beige
    transition: slide
    slide-number: true
    footer: "2024 Government & Public Sector R Conference - Alan Feder"
    embed-resources: true
---


## Who am I?

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![](https://github.com/AlanFeder/nyr-rag-app/blob/main/AJF_Headshot.jpg?raw=true){fig-alt="Alan Feder Headshot" width="4in"}
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-   Alan Feder
-   Staff LLM Data Scientist at Magnifi / TIFIN
- Freelance Consultant
- R Expat ![](https://upload.wikimedia.org/wikipedia/commons/thumb/1/1b/R_logo.svg/1200px-R_logo.svg.png){height="0.5in"}  ![](https://cdn-icons-png.flaticon.com/512/664/664866.png){height="0.5in"}  ![](https://upload.wikimedia.org/wikipedia/commons/thumb/c/c3/Python-logo-notext.svg/1200px-Python-logo-notext.svg.png){height="0.5in"}
- LGM ![](https://upload.wikimedia.org/wikipedia/en/thumb/7/7b/New_York_Mets.svg/1200px-New_York_Mets.svg.png){height="0.5in"}
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## Data Scientists in R love Shiny


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- I'm a Data Scientist -- I don't even know HTML, CSS, JavaScript, React
- Am I stuck with copying and pasting my graphs to PowerPoint?
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![](figs/shiny_logo.png)
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## Python has many more options

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![](figs/streamlit_logo.png){height="1.4in" fig-align="center"}
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![](figs/gradio_logo.png){height="1.4in" fig-align="center"}
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![](figs/shiny_logo.png){height="1.4in" fig-align="center"}
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![](figs/flask_logo.png){height="1.4in" fig-align="center"}
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![](figs/django_logo.png){height="1.4in" fig-align="center"}
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![](figs/jupyter_logo.png){height="1.4in" fig-align="center"}
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![](figs/dash_plotly_logo.png){height="1.4in" fig-align="center"}
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![](https://raw.githubusercontent.com/AnswerDotAI/fasthtml/e91b9af04a3e70b0d769f2a4928fdad1f2c67620/nbs/logo.svg){height="1.4in" fig-align="center"}
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![](figs/panel_holoviz_logo.png){height="1.4in" fig-align="center"}
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## Too many options

[![](https://imgs.xkcd.com/comics/standards_2x.png)](https://xkcd.com/927/)

## Try (some of) them!


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![](figs/streamlit_logo.png){height="1.4in" fig-align="center"}

![](figs/gradio_logo.png){height="1.4in" fig-align="center"}

![](figs/shiny_logo.png){height="1.4in" fig-align="center"}
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- Let's try to make one app with three different methods

- We've already had a lot of different RAG talks this conference - so see how to share your app
 
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## Server vs. Serverless


- The computations need to happen _somewhere_ - Python or R needs to be installed somewhere
  - You probably want to share your app with someone, and they need to be able to run it
- If you see "`localhost:8000`", then all the computations are happening locally - so sending the file won't help unless they have all the data and packages
- In-browser versions can often be a good option if you don't have a ton of data
  - BE CAREFUL ABOUT YOUR PASSWORDS AND API KEYS


## Streamlit


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- Launched in 2019
- Purchased by Snowflake in 2022 for $800m ![](figs/snowflake_logo.png){height="0.5in"}
- I've been using it a lot for the past 2 years - and even used in a (NY) R Conference talk!
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![](figs/streamlit_name2.png)

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## Streamlit - 😃


- Lots of elements to use
  - New ones all the time
- Very Pythonic
  - Simple to transition from script


## Streamlit - 🫤


- Runs top to bottom - not at all reactive
  - Has caching, but it gets confusing very quickly
- Can get very slow if it gets big
- All Streamlit apps kinda look the same
  - Hard to tweak UI




## Streamlit

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[![](figs/streamlit_app1.png){height="6in"}](https://dcr-rag.streamlit.app/)
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![](figs/streamlit_host.png)
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## Streamlit-Lite



- [Stlite](https://edit.share.stlite.net/)
  - Not officially supported by Streamlit
- Pretty easy interface to copy your Streamlit apps
- I couldn't figure out how to do streaming
- Slower to load, slower to run

- [Link: In-Browser Streamlit](https://www.alanfeder.com/dcr_rag/streamlit_lite.html)


## Gradio


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- Started by some Stanford PhD Students in 2019
- Purchased by Hugging Face in December 2021 ![](figs/hf_logo.png){height="0.5in"}
- Powers most Huggingface Spaces
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![](figs/gradio_name.png)

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## Gradio - 😃

- Very focused on ML
- Even simpler than Streamlit
- Built in interfaces for Chat
  - Easy to add in features like chat history, Thumbs Up/ Thumbs Down
- Has reactive blocks
- Can turn it into an API


## Gradio - 🫤

- Less flexible than Streamlit
  - Complicated to do multiple things at once
- Fewer components available
  - Sometimes need to use HTML to do what you want
- All Gradio apps look the same -- even more so than Streamlit

## Gradio
 
![](figs/basic_gradio.png){height="6in"}