remove filtering

app.py

@@ -93,20 +93,20 @@ def select_columns(df: pd.DataFrame, columns: list) -> pd.DataFrame:
 
 
 def filter_queries(query: str, filtered_df: pd.DataFrame) -> pd.DataFrame:
-    final_df = []
-    if query != "":
-        queries = [q.strip() for q in query.split(";")]
-        for _q in queries:
-            _q = _q.strip()
-            if _q != "":
-                temp_filtered_df = search_table(filtered_df, _q)
-                if len(temp_filtered_df) > 0:
-                    final_df.append(temp_filtered_df)
-        if len(final_df) > 0:
-            filtered_df = pd.concat(final_df)
-            filtered_df = filtered_df.drop_duplicates(
-                subset=[AutoEvalColumn.model.name, AutoEvalColumn.precision.name, AutoEvalColumn.revision.name]
-            )
+    # final_df = []
+    # if query != "":
+    #     queries = [q.strip() for q in query.split(";")]
+    #     for _q in queries:
+    #         _q = _q.strip()
+    #         if _q != "":
+    #             temp_filtered_df = search_table(filtered_df, _q)
+    #             if len(temp_filtered_df) > 0:
+    #                 final_df.append(temp_filtered_df)
+    #     if len(final_df) > 0:
+    #         filtered_df = pd.concat(final_df)
+    #         filtered_df = filtered_df.drop_duplicates(
+    #             subset=[AutoEvalColumn.model.name, AutoEvalColumn.precision.name, AutoEvalColumn.revision.name]
+    #         )
 
     return filtered_df