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Complete chat applications in shinychat: R 0.5.0 and Python 0.7.1
shinychat v0.5.0 for R and v0.7.1 for Python make it easier to build complete, conversation-centered Shiny chat applications with history, editing, branching, greetings, suggestions, citations, tool d...
![The Landscape Analysis tab of the optimization app showing a 3D visualization of the Simple Bowl (Sphere) function. The interface includes settings for test function selection, analysis type, and grid resolution on the left. The main panel displays the bowl-shaped function surface and its mathematical formula f(x) = Σxᵢ² along with properties including domain [-5.12, 5.12], global minimum (0), and minimum location (0, 0).](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:fgeozid7uyx2lfz3yo7zvm3b/bafkreift2xwr7557z37twkdpf2zmsmm3vb3acntjo5xcwh66gv5vaam2jq)
![A screenshot of a Shinylive app using Polars code:
from shiny import App, render, ui
import polars as pl
from pathlib import Path
app_ui = ui.page_fluid(
ui.input_select("cyl", "Select Cylinders", choices=["4", "6", "8"]),
ui.output_data_frame("filtered_data")
)
def server(input, output, session):
df = pl.read_csv(Path(__file__).parent / "mtcars.csv")
@output
@render.data_frame
def filtered_data():
return (df
.filter(pl.col("cyl") == int(input.cyl()))
.select(["mpg", "cyl", "hp"]))
app = App(app_ui, server)](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:hnkswprmt42fkt2huzbkcpcx/bafkreifcr4vfugeei25pfex52gvvvxnukyy4sms4ytpk6isepn5c3j473i)
