SiddharthAK commited on
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ca7af74
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1 Parent(s): 085c950

Update app.py

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  1. app.py +1 -1
app.py CHANGED
@@ -510,7 +510,7 @@ def get_current_share_url():
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  # --- Gradio Interface Setup with Tabs ---
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  with gr.Blocks(title="SPLADE Demos", css=css) as demo:
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  gr.Markdown("# 🌌 Sparse Encoder Playground") # Updated title
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- gr.Markdown("Welcome to the official demo for the ECIR 2026 edition of the tutorial: Neural Lexical Search with Learned Sparse Retrieval (LSR). Explore different SPLADE models and their sparse representation types, and calculate similarity between query and document representations. Note that splade-lexical is used here to illustrate the effects of term weighting; the actual end-to-end implemention does in fact do expansion and weighting on the document side.") # Updated description
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  with gr.Tabs():
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  with gr.TabItem("Sparse Representation"):
 
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  # --- Gradio Interface Setup with Tabs ---
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  with gr.Blocks(title="SPLADE Demos", css=css) as demo:
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  gr.Markdown("# 🌌 Sparse Encoder Playground") # Updated title
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+ gr.Markdown("Welcome to the official demo for the ECIR 2026 edition of the tutorial: Neural Lexical Search with Learned Sparse Retrieval (LSR). Explore different SPLADE models and their sparse representation types, and calculate similarity between query and document representations. Note that splade-v3-lexical (MLP encoder) is used here to help you observe how term weighting without expansion affects similarity scores for both queries and documents; in practice, the actual end-to-end implemention does in fact do expansion and weighting on the document side.") # Updated description
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  with gr.Tabs():
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  with gr.TabItem("Sparse Representation"):