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on
CPU Upgrade
Clémentine
commited on
Commit
•
ab6f548
1
Parent(s):
3dfaf22
simplify launcher + remove dataframe warning on boolean columns
Browse files
app.py
CHANGED
@@ -129,8 +129,8 @@ def filter_models(
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filtered_df = df[df[AutoEvalColumn.still_on_hub.name] == True]
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type_emoji = [t[0] for t in type_query]
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filtered_df = filtered_df[df[AutoEvalColumn.model_type_symbol.name].isin(type_emoji)]
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filtered_df = filtered_df[df[AutoEvalColumn.precision.name].isin(precision_query + ["None"])]
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numeric_interval = pd.IntervalIndex(sorted([NUMERIC_INTERVALS[s] for s in size_query]))
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params_column = pd.to_numeric(df[AutoEvalColumn.params.name], errors="coerce")
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@@ -234,81 +234,22 @@ with demo:
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leaderboard_table,
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concurrency_limit=None,
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)
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shown_columns
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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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deleted_models_visibility,
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search_bar,
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],
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leaderboard_table,
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queue=True,
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concurrency_limit=None,
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)
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filter_columns_precision.change(
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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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deleted_models_visibility,
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search_bar,
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],
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leaderboard_table,
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queue=True,
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concurrency_limit=None,
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)
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filter_columns_size.change(
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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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deleted_models_visibility,
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search_bar,
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],
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leaderboard_table,
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queue=True,
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concurrency_limit=None,
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)
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deleted_models_visibility.change(
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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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deleted_models_visibility,
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search_bar,
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],
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leaderboard_table,
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queue=True,
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concurrency_limit=None,
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)
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with gr.TabItem("📈 Metrics through time", elem_id="llm-benchmark-tab-table", id=4):
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with gr.Row():
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filtered_df = df[df[AutoEvalColumn.still_on_hub.name] == True]
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type_emoji = [t[0] for t in type_query]
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+
filtered_df = filtered_df.loc[df[AutoEvalColumn.model_type_symbol.name].isin(type_emoji)]
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filtered_df = filtered_df.loc[df[AutoEvalColumn.precision.name].isin(precision_query + ["None"])]
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numeric_interval = pd.IntervalIndex(sorted([NUMERIC_INTERVALS[s] for s in size_query]))
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params_column = pd.to_numeric(df[AutoEvalColumn.params.name], errors="coerce")
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leaderboard_table,
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concurrency_limit=None,
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)
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for selector in [shown_columns, filter_columns_type, filter_columns_precision, filter_columns_size, deleted_models_visibility]:
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selector.change(
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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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deleted_models_visibility,
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search_bar,
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],
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leaderboard_table,
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queue=True,
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concurrency_limit=None,
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)
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with gr.TabItem("📈 Metrics through time", elem_id="llm-benchmark-tab-table", id=4):
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with gr.Row():
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