Spaces:
Running
on
CPU Upgrade
Running
on
CPU Upgrade
t0-0
commited on
Commit
•
e4af1e5
1
Parent(s):
7fcd583
Wrap column filter and model filter with Accordion
Browse files
app.py
CHANGED
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@@ -390,107 +390,109 @@ with gr.Blocks() as demo_leaderboard:
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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.
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with gr.Row():
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with gr.
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# DataFrameコンポーネントの初期化
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leaderboard_table = gr.Dataframe(
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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.Accordion("Column Filter", open=True):
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with gr.Row():
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with gr.Row():
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select_all_button = gr.Button(SELECT_ALL_BUTTON_LABEL_JA, size="sm")
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select_none_button = gr.Button(SELECT_NONE_BUTTON_LABEL_JA, size="sm")
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select_avg_only_button = gr.Button(SELECT_AVG_ONLY_BUTTON_LABEL_JA, size="sm")
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for task_type in TaskType:
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if task_type == TaskType.NotTask:
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label = "Model details"
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else:
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label = task_type.value
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with gr.Accordion(label, open=True, elem_classes="accordion"):
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with gr.Row(height=110):
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shown_column = gr.CheckboxGroup(
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show_label=False,
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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 and c.task_type == task_type
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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
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and not c.hidden
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and not c.never_hidden
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and c.task_type == task_type
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],
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elem_id="column-select",
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container=False,
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)
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shown_columns_dict[task_type.name] = shown_column
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checkboxes.append(shown_column)
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# with gr.Row(height=110):
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# shown_column = gr.CheckboxGroup(
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# show_label=False,
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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 and c.task_type == task_type
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# # and not c.average
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# # or (task_type == TaskType.AVG and c.average)
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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
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# and not c.hidden
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# and not c.never_hidden
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# and c.task_type == task_type
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# # and not c.average
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# # or (task_type == TaskType.AVG and c.average)
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# ],
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# elem_id="column-select",
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# container=False,
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# )
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# shown_columns_dict[task_type.name] = shown_column
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with gr.Accordion("Model Filter", open=True):
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with gr.Row():
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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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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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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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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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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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elem_id="filter-columns-num-few-shots",
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)
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filter_columns_version = gr.CheckboxGroup(
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label="llm-jp-eval version",
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choices=[i.value.name for i in Version],
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value=[i.value.name for i in Version],
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elem_id="filter-columns-version",
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)
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# filter_columns_backend = gr.CheckboxGroup(
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# label="Backend Library",
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# choices=[i.value.name for i in Backend],
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# value=[i.value.name for i in Backend],
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# elem_id="filter-columns-backend",
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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.Dataframe(
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