Upload app.py
Browse files
app.py
CHANGED
@@ -124,6 +124,20 @@ block = gr.Blocks(css="""
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max-width: 80%;
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margin: auto;
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}
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""")
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with block:
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with gr.Column(elem_classes="container"):
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@@ -133,53 +147,72 @@ with block:
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with gr.Tabs(elem_classes="tab-buttons") as tabs:
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# Table 0
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with gr.TabItem("🏅 WorldScore Benchmark", elem_id="worldscore-tab-table", id=0):
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with gr.
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data_component = gr.components.Dataframe(
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value=get_baseline_df(),
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headers=COLUMN_NAMES,
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type="pandas",
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datatype=DATA_TITILE_TYPE,
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interactive=False,
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visible=True,
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)
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def on_filter_change(model_types, abilities):
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df = get_baseline_df()
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# Filter by selected model types
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df = df[df['Model Type'].isin(model_types)]
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# Filter by selected abilities
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df = df[df['Ability'].isin(abilities)]
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return gr.Dataframe(
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value=df,
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headers=COLUMN_NAMES,
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type="pandas",
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datatype=DATA_TITILE_TYPE,
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interactive=False,
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visible=True
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)
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model_type_filter.change(
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fn=on_filter_change,
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inputs=[model_type_filter, ability_filter],
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outputs=data_component
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)
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ability_filter.change(
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fn=on_filter_change,
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inputs=[model_type_filter, ability_filter],
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outputs=data_component
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)
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@@ -255,17 +288,22 @@ with block:
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)
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block.launch()
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max-width: 80%;
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margin: auto;
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}
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/* 添加以下样式来控制表格列宽 */
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.gradio-dataframe {
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overflow-x: auto !important;
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}
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.gradio-dataframe table {
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width: 100% !important;
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white-space: nowrap !important;
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}
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.gradio-dataframe td, .gradio-dataframe th {
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min-width: fit-content !important;
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max-width: none !important;
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white-space: pre-wrap !important;
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padding: 8px !important;
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}
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""")
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with block:
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with gr.Column(elem_classes="container"):
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with gr.Tabs(elem_classes="tab-buttons") as tabs:
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# Table 0
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with gr.TabItem("🏅 WorldScore Benchmark", elem_id="worldscore-tab-table", id=0):
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with gr.Row():
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with gr.Column(scale=0.3):
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model_type_filter = gr.CheckboxGroup(
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choices=MODEL_TYPE,
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value=DEFAULT_MODEL_TYPE,
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label="Model Type",
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interactive=True
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)
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ability_filter = gr.CheckboxGroup(
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choices=ABILITY,
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value=DEFAULT_ABILITY,
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label="Ability",
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interactive=True
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)
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with gr.Column(scale=0.7):
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sort_by_filter = gr.Radio(
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choices=TASK_INFO,
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value=DEFAULT_INFO[0],
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label="Sort by",
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interactive=True
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)
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data_component = gr.components.Dataframe(
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value=get_baseline_df(),
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headers=COLUMN_NAMES,
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type="pandas",
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datatype=DATA_TITILE_TYPE,
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interactive=False,
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visible=True,
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wrap=True
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)
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def on_filter_change(model_types, abilities, sort_by):
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df = get_baseline_df()
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# Filter by selected model types
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df = df[df['Model Type'].isin(model_types)]
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# Filter by selected abilities
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df = df[df['Ability'].isin(abilities)]
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# Sort by selected sort by
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df = df.sort_values(by=sort_by, ascending=False)
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return gr.Dataframe(
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value=df,
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headers=COLUMN_NAMES,
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type="pandas",
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datatype=DATA_TITILE_TYPE,
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interactive=False,
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visible=True,
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wrap=True
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)
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model_type_filter.change(
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fn=on_filter_change,
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inputs=[model_type_filter, ability_filter, sort_by_filter],
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outputs=data_component
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)
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ability_filter.change(
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fn=on_filter_change,
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inputs=[model_type_filter, ability_filter, sort_by_filter],
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outputs=data_component
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)
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sort_by_filter.change(
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fn=on_filter_change,
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inputs=[model_type_filter, ability_filter, sort_by_filter],
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outputs=data_component
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)
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)
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def refresh_data():
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value = get_baseline_df()
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data_component.value = value
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model_type_filter.value = DEFAULT_MODEL_TYPE
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ability_filter.value = DEFAULT_ABILITY
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sort_by_filter.value = DEFAULT_INFO[0]
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return data_component, model_type_filter, ability_filter, sort_by_filter
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with gr.Row(elem_classes="container"):
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data_run = gr.Button("Refresh")
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data_run.click(
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refresh_data,
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inputs=[],
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outputs=[data_component, model_type_filter, ability_filter, sort_by_filter]
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)
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block.launch()
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