Spaces:
Running
on
CPU Upgrade
Running
on
CPU Upgrade
Delete hidden_search_bar
Browse files
app.py
CHANGED
@@ -233,14 +233,6 @@ def update_table(
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return df
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def load_query(request: gr.Request): # triggered only once at startup => read query parameter if it exists
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query = request.query_params.get("query") or ""
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return (
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query,
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query,
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) # return one for the "search_bar", one for a hidden component that triggers a reload only if value has changed
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# Prepare the dataframes
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@@ -495,9 +487,6 @@ with gr.Blocks() as demo_leaderboard:
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graph_size_vs_score = gr.Plot(label="Model size vs. Average score")
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graph_average_scores = gr.Plot(label="Model Performance across Task Categories")
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# Define a hidden component that will trigger a reload only if a query parameter has been set
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hidden_search_bar = gr.Textbox(value="", visible=False)
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select_all_button.click(
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fn=lambda: toggle_all_categories("all"),
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outputs=checkboxes,
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@@ -519,7 +508,6 @@ with gr.Blocks() as demo_leaderboard:
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gr.on(
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triggers=[
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hidden_search_bar.change,
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filter_columns_type.change,
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filter_columns_precision.change,
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filter_columns_size.change,
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@@ -561,9 +549,6 @@ with gr.Blocks() as demo_leaderboard:
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queue=False,
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)
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# Check query parameter once at startup and update search bar + hidden component
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demo_leaderboard.load(fn=load_query, outputs=[search_bar, hidden_search_bar])
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# Submission demo
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return df
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# Prepare the dataframes
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graph_size_vs_score = gr.Plot(label="Model size vs. Average score")
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graph_average_scores = gr.Plot(label="Model Performance across Task Categories")
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select_all_button.click(
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fn=lambda: toggle_all_categories("all"),
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outputs=checkboxes,
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gr.on(
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triggers=[
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filter_columns_type.change,
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filter_columns_precision.change,
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filter_columns_size.change,
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queue=False,
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)
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# Submission demo
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