Spaces:
Sleeping
Sleeping
[Update]add model1_column
Browse files
app.py
CHANGED
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@@ -86,7 +86,7 @@ df_results_init = df_results.copy()[show_columns]
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def update_table(
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hidden_df: pd.DataFrame,
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-
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#type_query: list,
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open_query: list,
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# precision_query: str,
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@@ -102,7 +102,7 @@ def update_table(
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# filtered_df = filtered_df[filtered_df['Unlearned_Methods'].isin(open_query)]
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# map_open = {'open': 'Yes', 'closed': 'No'}
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# filtered_df = filtered_df[filtered_df['Open?'].isin([map_open[o] for o in open_query])]
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-
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filtered_df = filter_queries(query, filtered_df)
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# filtered_df = filtered_df[[map_columns[k] for k in columns]]
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# deduplication
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@@ -131,6 +131,27 @@ def filter_queries(query: str, filtered_df: pd.DataFrame) -> pd.DataFrame:
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return filtered_df
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demo = gr.Blocks(css=custom_css)
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with demo:
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gr.HTML(TITLE)
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@@ -212,6 +233,7 @@ with demo:
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[
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# df_avg,
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hidden_leaderboard_table_for_search,
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# shown_columns,
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#type_query,
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open_query,
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@@ -225,12 +247,13 @@ with demo:
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)
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#for selector in [type_query, open_query]:
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for selector in [open_query]:
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selector.change(
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update_table,
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[
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# df_avg,
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hidden_leaderboard_table_for_search,
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# shown_columns,
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#type_query,
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open_query,
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def update_table(
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hidden_df: pd.DataFrame,
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model1_column: list,
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#type_query: list,
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open_query: list,
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# precision_query: str,
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# filtered_df = filtered_df[filtered_df['Unlearned_Methods'].isin(open_query)]
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# map_open = {'open': 'Yes', 'closed': 'No'}
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# filtered_df = filtered_df[filtered_df['Open?'].isin([map_open[o] for o in open_query])]
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filtered_df=select_columns(filtered_df,open_query)
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filtered_df = filter_queries(query, filtered_df)
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# filtered_df = filtered_df[[map_columns[k] for k in columns]]
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# deduplication
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return filtered_df
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def select_columns(df: pd.DataFrame, columns_1: list) -> pd.DataFrame:
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always_here_cols = ['Unlearned_Methods','Source', 'Diffusion_Models']
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# We use COLS to maintain sorting
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all_columns =['Pre-ASR','Post-ASR','FID']
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if (len(columns_1)) == 0:
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filtered_df = df[
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always_here_cols +
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[c for c in all_columns if c in df.columns]
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]
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else:
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filtered_df = df[
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always_here_cols +
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[c for c in all_columns if c in df.columns and (c in columns_1) ]
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]
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return filtered_df
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demo = gr.Blocks(css=custom_css)
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with demo:
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gr.HTML(TITLE)
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[
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# df_avg,
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hidden_leaderboard_table_for_search,
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model1_column,
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# shown_columns,
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#type_query,
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open_query,
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)
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#for selector in [type_query, open_query]:
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for selector in [open_query,model1_column]:
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selector.change(
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update_table,
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[
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# df_avg,
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hidden_leaderboard_table_for_search,
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model1_column,
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# shown_columns,
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#type_query,
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open_query,
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