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Refactor GET_DEFAULT_CHECKBOX function to remove "Model Name" column and handle exceptions in app.py
Browse files
app.py
CHANGED
@@ -6,6 +6,7 @@ from huggingface_hub import snapshot_download
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from gradio.components.textbox import Textbox
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from gradio.components.dataframe import Dataframe
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from gradio.components.checkboxgroup import CheckboxGroup
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# from fastchat.serve.monitor.monitor import build_leaderboard_tab, build_basic_stats_tab, basic_component_values, leader_component_values
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@@ -123,17 +124,16 @@ def init_leaderboard(dataframes):
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if old_version != subset:
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search_term = None
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selected_columns = GET_DEFAULT_CHECKBOX(subset)
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old_version = subset
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filtered_data = dataframes[subset]
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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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-
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selected_columns = selected_columns.choices
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-
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print(e)
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selected_columns = selected_columns
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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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@@ -143,7 +143,7 @@ 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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), research_textbox,
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with gr.Row():
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refresh_button = gr.Button("Refresh")
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from gradio.components.textbox import Textbox
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from gradio.components.dataframe import Dataframe
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from gradio.components.checkboxgroup import CheckboxGroup
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import copy
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# from fastchat.serve.monitor.monitor import build_leaderboard_tab, build_basic_stats_tab, basic_component_values, leader_component_values
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if old_version != subset:
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search_term = None
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selected_columns = GET_DEFAULT_CHECKBOX(subset)
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bak_selected_columns = copy.deepcopy(selected_columns)
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old_version = subset
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filtered_data = dataframes[subset]
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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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if isinstance(selected_columns, CheckboxGroup):
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selected_columns = selected_columns.choices
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print("Selected Columns:", selected_columns)
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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_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, bak_selected_columns
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with gr.Row():
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refresh_button = gr.Button("Refresh")
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