add

app.py

@@ -8,17 +8,21 @@ import shinyswatch
 
 from shiny import App, Inputs, Outputs, Session, reactive, render, req, ui
 
-import numpy as np
-import torch
-
 sns.set_theme()
 
 www_dir = Path(__file__).parent.resolve() / "www"
 
+df = pd.read_csv(Path(__file__).parent / "penguins.csv", na_values="NA")
+numeric_cols: List[str] = df.select_dtypes(include=["float64"]).columns.tolist()
+species: List[str] = df["Species"].unique().tolist()
+species.sort()
+
 app_ui = ui.page_fillable(
     shinyswatch.theme.minty(),
     ui.layout_sidebar(
         ui.sidebar(
+            ui.input_switch("by_species", "Show species", value=True),
+            ui.input_switch("show_margins", "Show marginal plots", value=True),
             ui.input_file("image_input", "Upload image: ", multiple=True),
         ),
         ui.output_image("image"),
@@ -41,6 +45,7 @@ def server(input: Inputs, output: Outputs, session: Session):
     @output
     @render.image
     def image_output():
+        here = Path(__file__).parent
         if input.image_input():
             src = input.image_input()[0]['datapath']
             img = {"src": src, "width": "500px"}