Synced repo using 'sync_with_huggingface' Github Action

app.py

@@ -1,6 +1,3 @@
-from bokeh import events
-from bokeh.models import CustomJS
-
 import streamlit as st
 
 import dataset_wrangler
@@ -11,23 +8,14 @@ st.write(
     "Scrambled Images  from [https://www.slv.vic.gov.au/images](https://www.slv.vic.gov.au/images)"
 )
 
+palette_columns = ["pal_1", "pal_3", "pal_5"]
 
-p = dataset_wrangler.create_grid(dataset)
+df = dataset_wrangler.clean_df(dataset=dataset, subset=palette_columns)
 
-callback = CustomJS(
-    code="""
-    console.log(Math.floor(cb_obj.x))
-    console.log(Math.floor(cb_obj.y))
+random_selection = df.sample(n=3)
 
-    try {
-        console.log("Hello mum")
-        st.write("Hello mum")
-    } catch {
-        console.log("error")
-    }
-"""
-)
+st.dataframe(random_selection)
 
-p.js_on_event(events.Tap, callback)
+p = dataset_wrangler.create_grid(df)
 
 st.bokeh_chart(p, use_container_width=True)

dataset_wrangler.py

@@ -68,7 +68,7 @@ def get_tooltips_dict(df, columns):
     return tooltips
 
 
-def create_grid(dataset, palette_columns=["pal_1", "pal_3", "pal_5"]):
+def create_grid(df, palette_columns=["pal_1", "pal_3", "pal_5"]):
 
     markers = {
         "pal_1": "circle",
@@ -78,8 +78,6 @@ def create_grid(dataset, palette_columns=["pal_1", "pal_3", "pal_5"]):
         "pal_5": "triangle",
     }
 
-    df = clean_df(dataset=dataset, subset=palette_columns)
-
     coords = get_square_coords(df)
 
     # bodge the df to ensure the length matches the coords