test: Try different approach to legend

app.py

@@ -11,7 +11,7 @@ import numpy as np
 import streamlit as st
 
 from gensim.utils import deaccent
-from bokeh.models import ColumnDataSource, HoverTool, Label
+from bokeh.models import ColumnDataSource, HoverTool, Label, Legend
 from bokeh.palettes import Colorblind as Pallete
 from bokeh.palettes import Set3 as AuxPallete
 from bokeh.plotting import Figure, figure
@@ -106,10 +106,11 @@ def draw_interactive_scatter_plot(
     p = figure(plot_width=800, plot_height=800, tools=[hover], title='2D visualization of tweets', background_fill_color="#fafafa")
     colors = factor_cmap("label", palette=[Pallete[n_colors][int(id_) + 1] for id_ in values_set], factors=values_set)
     
-    p.legend.location = "right"
-    p.legend.title = "Topics ID"
-    p.legend.click_policy = "mute"
-    p.legend.background_fill_alpha = 0.2
+    legend = Legend(location = 'right', title='Topics ID', click_policy='mute', background_fill_alpha=0.2)
+    # p.legend.location = "right"
+    # p.legend.title = "Topics ID"
+    # p.legend.click_policy = "mute"
+    # p.legend.background_fill_alpha = 0.2
     
     p.circle("x", "y", size=12, source=source, fill_alpha=0.4, line_color=colors, fill_color=colors, legend_group="original_label")
     p.axis.visible = False
@@ -123,6 +124,7 @@ def draw_interactive_scatter_plot(
                    text_font_size="14px", text_color="gray",
                    text="Topic equals -1 means no topic was detected for such tweet")
     p.add_layout(disclaimer, "below")
+    p.add_layout(legend, "right")
     return p
 
 # Up to here