tweak offsets

app.py

@@ -27,15 +27,14 @@ 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)
 
-st.markdown("<br>", unsafe_allow_html=True)
-
 draw_current_progress()
 
 content_text(f"""
 The model we're training is called DALLE: a transformer "language model" that generates images from text description.
-We're training this model on <a href=https://laion.ai/laion-400-open-dataset/>LAION</a> - the world's largest openly available
+We're training this model on <a target="_blank" rel="noopener noreferrer" href=https://laion.ai/laion-400-open-dataset/>LAION</a> - the world's largest openly available
 image-text-pair dataset with 400 million samples. Our model is based on
-<a href=https://github.com/lucidrains/DALLE-pytorch>dalle-pytorch</a> with additional features for memory efficiency.""")
+<a target="_blank" rel="noopener noreferrer" href=https://github.com/lucidrains/DALLE-pytorch>dalle-pytorch</a> 
+with several tweaks for memory-efficient training.""")
 
 content_title("How do I join?")
 

charts.py

@@ -10,7 +10,10 @@ def draw_current_progress():
     st.vega_lite_chart(
         source, {
             "height": 200,
-            "title": "Training DALLE with volunteers. Updated every few minutes during NeurIPS.",
+            "title": {
+                "text": "Training DALLE with volunteers. Updated every few minutes during NeurIPS.",
+                "dy": 2,
+            },
             "$schema": "https://vega.github.io/schema/vega-lite/v5.json",
             "description": "Current training progress",
             "encoding": {"x": {"field": "wall time", "type": "temporal"}},