test with bokeh

app.py

@@ -31,19 +31,6 @@ So, can individual researchers and small labs still train state-of-the-art? Yes
 All it takes is for a bunch of us to come together. In fact, we're doing it right now and <b>you're invited to join!</b>
 """, vspace_before=12)
 
-#DEBUG
-import streamlit as st
-from bokeh.plotting import figure
-x = [1, 2, 3, 4, 5]
-y = [6, 7, 2, 4, 5]
-p = figure(
-     title='simple line example',
-     x_axis_label='x',
-     y_axis_label='y')
-p.line(x, y, legend_label='Trend', line_width=2)
-st.bokeh_chart(p, use_container_width=True)
-#/DEBUG
-
 draw_current_progress()
 
 

charts.py

@@ -1,4 +1,5 @@
 import streamlit as st
+from bokeh.plotting import figure
 
 from dashboard_utils.bubbles import get_new_bubble_data
 from dashboard_utils.main_metrics import get_main_metrics
@@ -8,6 +9,17 @@ from streamlit_observable import observable
 def draw_current_progress():
     st.markdown("<br>", unsafe_allow_html=True)
     source = get_main_metrics()
+
+    # DEBUG
+    x = [1, 2, 3, 4, 5]
+    y = [6, 7, 2, 4, 5]
+    p = figure(
+        title='Training DALL-E with volunteers (updated regularly during NeurIPS)',
+        x_axis_label='x', y_axis_label='y', height=200)
+    p.line(x, y, legend_label='Trend', line_width=2)
+    st.bokeh_chart(p, use_container_width=True)
+    # /DEBUG
+
     st.vega_lite_chart(
         source, {
             "height": 200,