Spaces:
Running
on
CPU Upgrade
Running
on
CPU Upgrade
Separate leaderboard section
Browse files
app.py
CHANGED
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@@ -211,187 +211,191 @@ def filter_models(
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leaderboard_df = filter_models(leaderboard_df, [t.to_str(" : ") for t in ModelType], list(NUMERIC_INTERVALS.keys()), [i.value.name for i in Precision], [i.value.name for i in AddSpecialTokens], [i.value.name for i in NumFewShots], False, False, False)
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with gr.Blocks(
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gr.
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with gr.Tabs(elem_classes="tab-buttons") as tabs:
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with gr.TabItem("🏅 LLM Benchmark", elem_id="llm-benchmark-tab-table", id=0):
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with gr.Row():
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with
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interactive=True,
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elem_id="filter-columns-type",
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)
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filter_columns_precision = gr.CheckboxGroup(
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label="Precision",
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choices=[i.value.name for i in Precision],
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value=[i.value.name for i in Precision],
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interactive=True,
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elem_id="filter-columns-precision",
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)
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filter_columns_size = gr.CheckboxGroup(
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label="Model sizes (in billions of parameters)",
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choices=list(NUMERIC_INTERVALS.keys()),
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value=list(NUMERIC_INTERVALS.keys()),
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interactive=True,
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elem_id="filter-columns-size",
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)
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filter_columns_add_special_tokens = gr.CheckboxGroup(
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label="Add Special Tokens",
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choices=[i.value.name for i in AddSpecialTokens],
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value=[i.value.name for i in AddSpecialTokens],
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interactive=True,
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elem_id="filter-columns-add-special-tokens",
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)
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filter_columns_num_few_shots = gr.CheckboxGroup(
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label="Num Few Shots",
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choices=[i.value.name for i in NumFewShots],
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value=[i.value.name for i in NumFewShots],
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interactive=True,
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elem_id="filter-columns-num-few-shots",
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)
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leaderboard_df_filtered = filter_models(leaderboard_df, [t.to_str(" : ") for t in ModelType], list(NUMERIC_INTERVALS.keys()), [i.value.name for i in Precision], [i.value.name for i in AddSpecialTokens], [i.value.name for i in NumFewShots], False, False, False)
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# initial_columns = [c.name for c in fields(AutoEvalColumn) if c.never_hidden or c.displayed_by_default]
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# leaderboard_df_filtered = select_columns(leaderboard_df_filtered, initial_columns)
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# leaderboard_table = gr.components.Dataframe(
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# value=leaderboard_df_filtered,
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# headers=[c.name for c in fields(AutoEvalColumn) if c.never_hidden] + shown_columns.value,
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# datatype=TYPES,
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# elem_id="leaderboard-table",
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# interactive=False,
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# visible=True,
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# )
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# DataFrameの初期化部分のみを修正
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initial_columns = ['T'] + [c.name for c in fields(AutoEvalColumn) if (c.never_hidden or c.displayed_by_default) and c.name != 'T']
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leaderboard_df_filtered = select_columns(leaderboard_df, initial_columns)
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# Model列のリンク形式を修正
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leaderboard_df_filtered['Model'] = leaderboard_df_filtered['Model'].apply(
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lambda x: f'[{x.split(">")[-2].split("<")[0]}]({x.split("href=")[1].split(chr(34))[1]})' if isinstance(x, str) and 'href=' in x else x
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)
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# DataFrameコンポーネントの初期化
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leaderboard_table = gr.components.Dataframe(
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value=leaderboard_df_filtered,
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headers=initial_columns,
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datatype=TYPES,
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elem_id="leaderboard-table",
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interactive=False,
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visible=True
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)
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value=
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visible=False,
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)
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[
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filter_columns_precision,
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filter_columns_size,
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filter_columns_add_special_tokens,
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filter_columns_num_few_shots,
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deleted_models_visibility,
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merged_models_visibility,
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flagged_models_visibility,
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search_bar,
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],
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leaderboard_table,
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)
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hidden_leaderboard_table_for_search,
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shown_columns,
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filter_columns_type,
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filter_columns_precision,
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filter_columns_size,
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filter_columns_add_special_tokens,
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filter_columns_num_few_shots,
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deleted_models_visibility,
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merged_models_visibility,
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flagged_models_visibility,
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search_bar,
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],
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leaderboard_table,
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)
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with gr.TabItem("📝 About", elem_id="llm-benchmark-tab-table", id=2):
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gr.Markdown(LLM_BENCHMARKS_TEXT, elem_classes="markdown-text")
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leaderboard_df = filter_models(leaderboard_df, [t.to_str(" : ") for t in ModelType], list(NUMERIC_INTERVALS.keys()), [i.value.name for i in Precision], [i.value.name for i in AddSpecialTokens], [i.value.name for i in NumFewShots], False, False, False)
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with gr.Blocks() as demo_leaderboard:
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with gr.Row():
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with gr.Column():
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with gr.Row():
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search_bar = gr.Textbox(
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placeholder=" 🔍 Search for your model (separate multiple queries with `;`) and press ENTER...",
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show_label=False,
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elem_id="search-bar",
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)
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with gr.Row():
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shown_columns = gr.CheckboxGroup(
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choices=[
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c.name
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for c in fields(AutoEvalColumn)
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if not c.hidden and not c.never_hidden# and not c.dummy
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],
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value=[
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c.name
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for c in fields(AutoEvalColumn)
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if c.displayed_by_default and not c.hidden and not c.never_hidden
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],
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label="Select columns to show",
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elem_id="column-select",
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interactive=True,
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)
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with gr.Row():
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deleted_models_visibility = gr.Checkbox(
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value=False, label="Show private/deleted models", interactive=True
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)
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merged_models_visibility = gr.Checkbox(
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value=False, label="Show merges", interactive=True
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)
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flagged_models_visibility = gr.Checkbox(
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value=False, label="Show flagged models", interactive=True
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)
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with gr.Column(min_width=320):
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#with gr.Box(elem_id="box-filter"):
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filter_columns_type = gr.CheckboxGroup(
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label="Model types",
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choices=[t.to_str() for t in ModelType],
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value=[t.to_str() for t in ModelType],
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interactive=True,
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elem_id="filter-columns-type",
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)
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filter_columns_precision = gr.CheckboxGroup(
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label="Precision",
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choices=[i.value.name for i in Precision],
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value=[i.value.name for i in Precision],
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interactive=True,
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elem_id="filter-columns-precision",
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)
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filter_columns_size = gr.CheckboxGroup(
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label="Model sizes (in billions of parameters)",
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choices=list(NUMERIC_INTERVALS.keys()),
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value=list(NUMERIC_INTERVALS.keys()),
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interactive=True,
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elem_id="filter-columns-size",
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)
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filter_columns_add_special_tokens = gr.CheckboxGroup(
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label="Add Special Tokens",
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choices=[i.value.name for i in AddSpecialTokens],
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value=[i.value.name for i in AddSpecialTokens],
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interactive=True,
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elem_id="filter-columns-add-special-tokens",
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)
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filter_columns_num_few_shots = gr.CheckboxGroup(
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label="Num Few Shots",
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choices=[i.value.name for i in NumFewShots],
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value=[i.value.name for i in NumFewShots],
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interactive=True,
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elem_id="filter-columns-num-few-shots",
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)
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+
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leaderboard_df_filtered = filter_models(leaderboard_df, [t.to_str(" : ") for t in ModelType], list(NUMERIC_INTERVALS.keys()), [i.value.name for i in Precision], [i.value.name for i in AddSpecialTokens], [i.value.name for i in NumFewShots], False, False, False)
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# initial_columns = [c.name for c in fields(AutoEvalColumn) if c.never_hidden or c.displayed_by_default]
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# leaderboard_df_filtered = select_columns(leaderboard_df_filtered, initial_columns)
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# leaderboard_table = gr.components.Dataframe(
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# value=leaderboard_df_filtered,
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# headers=[c.name for c in fields(AutoEvalColumn) if c.never_hidden] + shown_columns.value,
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# datatype=TYPES,
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# elem_id="leaderboard-table",
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# interactive=False,
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# visible=True,
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# )
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# DataFrameの初期化部分のみを修正
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initial_columns = ['T'] + [c.name for c in fields(AutoEvalColumn) if (c.never_hidden or c.displayed_by_default) and c.name != 'T']
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leaderboard_df_filtered = select_columns(leaderboard_df, initial_columns)
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# Model列のリンク形式を修正
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leaderboard_df_filtered['Model'] = leaderboard_df_filtered['Model'].apply(
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lambda x: f'[{x.split(">")[-2].split("<")[0]}]({x.split("href=")[1].split(chr(34))[1]})' if isinstance(x, str) and 'href=' in x else x
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)
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# 数値データを文字列に変換
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for col in leaderboard_df_filtered.columns:
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if col not in ['T', 'Model']:
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leaderboard_df_filtered[col] = leaderboard_df_filtered[col].astype(str)
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# DataFrameコンポーネントの初期化
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leaderboard_table = gr.components.Dataframe(
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value=leaderboard_df_filtered,
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headers=initial_columns,
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datatype=TYPES,
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elem_id="leaderboard-table",
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interactive=False,
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visible=True
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)
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# Dummy leaderboard for handling the case when the user uses backspace key
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hidden_leaderboard_table_for_search = gr.components.Dataframe(
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value=original_df[COLS],
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headers=COLS,
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datatype=TYPES,
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visible=False,
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)
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search_bar.submit(
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update_table,
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[
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hidden_leaderboard_table_for_search,
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shown_columns,
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filter_columns_type,
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filter_columns_precision,
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+
filter_columns_size,
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filter_columns_add_special_tokens,
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filter_columns_num_few_shots,
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deleted_models_visibility,
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| 342 |
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merged_models_visibility,
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+
flagged_models_visibility,
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+
search_bar,
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+
],
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+
leaderboard_table,
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+
)
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+
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| 349 |
+
# Define a hidden component that will trigger a reload only if a query parameter has be set
|
| 350 |
+
hidden_search_bar = gr.Textbox(value="", visible=False)
|
| 351 |
+
hidden_search_bar.change(
|
| 352 |
+
update_table,
|
| 353 |
+
[
|
| 354 |
+
hidden_leaderboard_table_for_search,
|
| 355 |
+
shown_columns,
|
| 356 |
+
filter_columns_type,
|
| 357 |
+
filter_columns_precision,
|
| 358 |
+
filter_columns_size,
|
| 359 |
+
filter_columns_add_special_tokens,
|
| 360 |
+
filter_columns_num_few_shots,
|
| 361 |
+
deleted_models_visibility,
|
| 362 |
+
merged_models_visibility,
|
| 363 |
+
flagged_models_visibility,
|
| 364 |
+
search_bar,
|
| 365 |
+
],
|
| 366 |
+
leaderboard_table,
|
| 367 |
+
)
|
| 368 |
+
# Check query parameter once at startup and update search bar + hidden component
|
| 369 |
+
demo_leaderboard.load(load_query, inputs=[], outputs=[search_bar, hidden_search_bar])
|
| 370 |
+
|
| 371 |
+
for selector in [shown_columns, filter_columns_type, filter_columns_precision, filter_columns_size, filter_columns_add_special_tokens, filter_columns_num_few_shots, deleted_models_visibility, merged_models_visibility, flagged_models_visibility]:
|
| 372 |
+
selector.change(
|
| 373 |
+
update_table,
|
| 374 |
+
[
|
| 375 |
+
hidden_leaderboard_table_for_search,
|
| 376 |
+
shown_columns,
|
| 377 |
+
filter_columns_type,
|
| 378 |
+
filter_columns_precision,
|
| 379 |
+
filter_columns_size,
|
| 380 |
+
filter_columns_add_special_tokens,
|
| 381 |
+
filter_columns_num_few_shots,
|
| 382 |
+
deleted_models_visibility,
|
| 383 |
+
merged_models_visibility,
|
| 384 |
+
flagged_models_visibility,
|
| 385 |
+
search_bar,
|
| 386 |
+
],
|
| 387 |
+
leaderboard_table,
|
| 388 |
+
queue=True,
|
| 389 |
+
)
|
| 390 |
+
|
| 391 |
+
|
| 392 |
+
with gr.Blocks(css=custom_css) as demo:
|
| 393 |
+
gr.HTML(TITLE)
|
| 394 |
+
gr.Markdown(INTRODUCTION_TEXT, elem_classes="markdown-text")
|
| 395 |
+
|
| 396 |
+
with gr.Tabs(elem_classes="tab-buttons") as tabs:
|
| 397 |
+
with gr.TabItem("🏅 LLM Benchmark", elem_id="llm-benchmark-tab-table", id=0):
|
| 398 |
+
demo_leaderboard.render()
|
| 399 |
|
| 400 |
with gr.TabItem("📝 About", elem_id="llm-benchmark-tab-table", id=2):
|
| 401 |
gr.Markdown(LLM_BENCHMARKS_TEXT, elem_classes="markdown-text")
|