Update app.py

app.py

@@ -357,7 +357,7 @@ async def result(request: Request,
         for i, var in enumerate(int_vars):
             top_categories = df[var].value_counts().nlargest(10).index
             filtered_df = df[df[var].notnull() & df[var].isin(top_categories)]
-            sns.histplot(data=df, x=var, hue=target, kde=True, ax=axs[i], stat="percent")
+            sns.histplot(data=df, x=var, hue=target, kde=False, ax=axs[i], stat="percent")
             axs[i].set_title(var)
 
             # Annotate the subplot with sample size