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Runtime error
Runtime error
Refactor GET_DEFAULT_CHECKBOX function to remove "Model Name" column and handle exceptions in app.py
Browse files
app.py
CHANGED
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@@ -128,9 +128,9 @@ def init_leaderboard(dataframes):
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if search_term:
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filtered_data = filtered_data[dataframes[subset]["Model Name"].str.contains(search_term, case=False)]
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filtered_data.sort_values(by="Total", ascending=False, inplace=True)
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-
selected_columns.append("Model Name")
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selected_columns = [
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c for c in filtered_data.columns if c in selected_columns
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]
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# selected_columns = [c.name for c in fields(AutoEvalColumn) if c.name in selected_columns]
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selected_data = filtered_data[selected_columns]
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@@ -138,7 +138,7 @@ def init_leaderboard(dataframes):
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selected_data,
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type="pandas",
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# datatype=[c.type for c in fields(AutoEvalColumn) if c.name in selected_columns],
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-
)
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with gr.Row():
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refresh_button = gr.Button("Refresh")
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@@ -151,9 +151,9 @@ def init_leaderboard(dataframes):
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concurrency_limit=20,
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)
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selected_subset.change(update_data, inputs=[selected_subset, research_textbox, selected_columns], outputs=df)
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research_textbox.submit(update_data, inputs=[selected_subset, research_textbox, selected_columns], outputs=df)
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selected_columns.change(update_data, inputs=[selected_subset, research_textbox, selected_columns], outputs=df)
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def init_detailed_results():
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if search_term:
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filtered_data = filtered_data[dataframes[subset]["Model Name"].str.contains(search_term, case=False)]
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filtered_data.sort_values(by="Total", ascending=False, inplace=True)
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+
# selected_columns.append("Model Name")
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selected_columns = [
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c for c in filtered_data.columns if c in selected_columns or c == "Model Name"
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]
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# selected_columns = [c.name for c in fields(AutoEvalColumn) if c.name in selected_columns]
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selected_data = filtered_data[selected_columns]
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selected_data,
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type="pandas",
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# datatype=[c.type for c in fields(AutoEvalColumn) if c.name in selected_columns],
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), research_textbox, selected_columns
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with gr.Row():
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refresh_button = gr.Button("Refresh")
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concurrency_limit=20,
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)
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selected_subset.change(update_data, inputs=[selected_subset, research_textbox, selected_columns], outputs=[df, research_textbox, selected_columns])
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research_textbox.submit(update_data, inputs=[selected_subset, research_textbox, selected_columns], outputs=[df, research_textbox, selected_columns])
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selected_columns.change(update_data, inputs=[selected_subset, research_textbox, selected_columns], outputs=[df, research_textbox, selected_columns])
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def init_detailed_results():
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