update scripts

app.py

@@ -142,13 +142,13 @@ def update_table(
     hidden_df: pd.DataFrame,
     columns: list,
     #type_query: list,
-    precision_query: str,
+    #precision_query: str,
     size_query: list,
-    show_deleted: bool,
+    #show_deleted: bool,
     query: str,
 ):
     # filtered_df = filter_models(hidden_df, type_query, size_query, precision_query, show_deleted)
-    filtered_df = filter_models(hidden_df, size_query, precision_query, show_deleted)
+    filtered_df = filter_models(hidden_df, size_query)
     filtered_df = filter_queries(query, filtered_df)
     df = select_columns(filtered_df, columns)
     return df
@@ -191,7 +191,7 @@ def filter_queries(query: str, filtered_df: pd.DataFrame) -> pd.DataFrame:
 
 def filter_models(
     # df: pd.DataFrame, type_query: list, size_query: list, precision_query: list, show_deleted: bool
-    df: pd.DataFrame, size_query: list, precision_query: list, show_deleted: bool
+    df: pd.DataFrame, size_query: list  # precision_query: list, show_deleted: bool
 ) -> pd.DataFrame:
     # Show all models
     # if show_deleted:
@@ -203,7 +203,7 @@ def filter_models(
     
     # type_emoji = [t[0] for t in type_query]
     #filtered_df = filtered_df.loc[df[utils.AutoEvalColumn.model_type_symbol.name].isin(type_emoji)]
-    filtered_df = filtered_df.loc[df[utils.AutoEvalColumn.precision.name].isin(precision_query + ["None"])]
+    #filtered_df = filtered_df.loc[df[utils.AutoEvalColumn.precision.name].isin(precision_query + ["None"])]
 
     numeric_interval = pd.IntervalIndex(sorted([utils.NUMERIC_INTERVALS[s] for s in size_query]))
     params_column = pd.to_numeric(df[utils.AutoEvalColumn.params.name], errors="coerce")