Hello,
I've been testing the Databricks app and have the follow questions:
1. My organization currently uses Catalog Explorer instead of Unity Catalog. I want to develop a Shiny app and was able to run code from the template under New > App. However, this environment doesn't support package installation and doesn't allow conversion of Spark tables from Catalog Explorer to Pandas DataFrames for visualizations. I don't have admin rights to install any packages on the cluster.
Is there a way for the Shiny app to access data from Catalog Explorer?
2. I prefer developing apps on Databricks notebooks, but I haven't been able to run a Shiny app using Python with shiny for python code. Here is the code I've used in my notebook:
from shiny import ui, render, App
app_ui = ui.page_fluid(
ui.input_slider("n", "N", 0, 100, 40),
ui.output_text_verbatim("txt"),
)
def server(input, output, session😞
@render.text
def txt():
return f"n*2 is {input.n() * 2}"
app = App(app_ui, server)
The code executed without errors, but the app did not launch. When I write the code in R, an URL path pops up without any issues. However, after the first time generating the R Shiny app, my notebook always gets stuck with the cell constantly showing as "waiting." Using R for Shiny, I can develop the app on a Databricks notebook with data from Catalog Explorer, but I can't deploy it as easily as deploying it on Databricks App, and Databricks App doesn't seem to support R code.
Does anyone know how to use Shiny for Python to develop Shiny app on a Databricks notebook and how to launch the app on Databricks notebook so I can see the output?
Appreciate for any solutions.
Thanks,
