test with bokeh

app.py

@@ -31,8 +31,22 @@ 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()
 
+
 content_text(f"""
 For this demo we train a model similar to {cite("OpenAI DALL-E", "https://openai.com/blog/dall-e/")},
 that is, a transformer "language model" that generates images from text description.

requirements.txt

@@ -1,3 +1,4 @@
 streamlit
 wandb
-requests_futures
+requests_futures
+bokeh==2.4.1