justheuristic commited on
Commit
9c032d8
1 Parent(s): 9e99ac6

tweak offsets

Browse files
Files changed (2) hide show
  1. app.py +3 -4
  2. charts.py +4 -1
app.py CHANGED
@@ -27,15 +27,14 @@ So, can individual researchers and small labs still train state-of-the-art? Yes
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  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>
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  """, vspace_before=12)
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- st.markdown("<br>", unsafe_allow_html=True)
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-
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  draw_current_progress()
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  content_text(f"""
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  The model we're training is called DALLE: a transformer "language model" that generates images from text description.
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- We're training this model on <a href=https://laion.ai/laion-400-open-dataset/>LAION</a> - the world's largest openly available
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  image-text-pair dataset with 400 million samples. Our model is based on
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- <a href=https://github.com/lucidrains/DALLE-pytorch>dalle-pytorch</a> with additional features for memory efficiency.""")
 
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  content_title("How do I join?")
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  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>
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  """, vspace_before=12)
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  draw_current_progress()
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  content_text(f"""
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  The model we're training is called DALLE: a transformer "language model" that generates images from text description.
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+ 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
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  image-text-pair dataset with 400 million samples. Our model is based on
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+ <a target="_blank" rel="noopener noreferrer" href=https://github.com/lucidrains/DALLE-pytorch>dalle-pytorch</a>
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+ with several tweaks for memory-efficient training.""")
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  content_title("How do I join?")
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charts.py CHANGED
@@ -10,7 +10,10 @@ def draw_current_progress():
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  st.vega_lite_chart(
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  source, {
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  "height": 200,
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- "title": "Training DALLE with volunteers. Updated every few minutes during NeurIPS.",
 
 
 
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  "$schema": "https://vega.github.io/schema/vega-lite/v5.json",
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  "description": "Current training progress",
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  "encoding": {"x": {"field": "wall time", "type": "temporal"}},
 
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  st.vega_lite_chart(
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  source, {
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  "height": 200,
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+ "title": {
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+ "text": "Training DALLE with volunteers. Updated every few minutes during NeurIPS.",
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+ "dy": 2,
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+ },
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  "$schema": "https://vega.github.io/schema/vega-lite/v5.json",
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  "description": "Current training progress",
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  "encoding": {"x": {"field": "wall time", "type": "temporal"}},