disable not working filters

app.py

@@ -189,6 +189,7 @@ with demo:
                         value=[t.to_str() for t in ModelType],
                         interactive=True,
                         elem_id="filter-columns-type",
+                        visible=False,
                     )
                     filter_columns_precision = gr.CheckboxGroup(
                         label="Precision",
@@ -196,6 +197,7 @@ with demo:
                         value=[i.value.name for i in Precision],
                         interactive=True,
                         elem_id="filter-columns-precision",
+                        visible=False,
                     )
                     filter_columns_size = gr.CheckboxGroup(
                         label="Model sizes (in billions of parameters)",
@@ -203,6 +205,7 @@ with demo:
                         value=list(NUMERIC_INTERVALS.keys()),
                         interactive=True,
                         elem_id="filter-columns-size",
+                        visible=False,
                     )
                     filter_columns_nshot = gr.CheckboxGroup(
                         label="N-shot",

src/leaderboard/read_evals.py

@@ -141,16 +141,21 @@ class EvalResult:
             data_dict[AutoEvalColumn.precision.name] = self.precision.value.name
         except KeyError:
             print(f"Could not find precision")
+        except AttributeError:
+            print(f"AttributeError precision")
 
         try:
             data_dict[AutoEvalColumn.model_type.name] = self.model_type.value.name
         except KeyError:
             print(f"Could not find model type")
 
+
         try:
             data_dict[AutoEvalColumn.model_type_symbol.name] = self.model_type.value.symbol
         except KeyError:
             print(f"Could not find model type symbol")
+        except AttributeError:
+            print(f"AttributeError model_type")
 
         try:
             data_dict[AutoEvalColumn.weight_type.name] = self.weight_type.value.name
@@ -161,6 +166,8 @@ class EvalResult:
             data_dict[AutoEvalColumn.architecture.name] = self.architecture
         except KeyError:
             print(f"Could not find architecture")
+        except AttributeError:
+            print(f"AttributeError architecture")
 
         try:
             data_dict[AutoEvalColumn.model.name] = make_clickable_model(self.full_model) if self.still_on_hub else self.full_model
@@ -176,6 +183,8 @@ class EvalResult:
             data_dict[AutoEvalColumn.revision.name] = self.revision
         except KeyError:
             print(f"Could not find revision")
+        except AttributeError:
+            print(f"AttributeError revision")
 
         try:
             data_dict[AutoEvalColumn.average.name] = average
@@ -186,21 +195,29 @@ class EvalResult:
             data_dict[AutoEvalColumn.license.name] = self.license
         except KeyError:
             print(f"Could not find license")
+        except AttributeError:
+            print(f"AttributeError license")
 
         try:
             data_dict[AutoEvalColumn.likes.name] = self.likes
         except KeyError:
             print(f"Could not find likes")
+        except AttributeError:
+            print(f"AttributeError likes")
 
         try:
             data_dict[AutoEvalColumn.params.name] = self.num_params
         except KeyError:
             print(f"Could not find params")
+        except AttributeError:
+            print(f"AttributeError params")
 
         try:
             data_dict[AutoEvalColumn.still_on_hub.name] = self.still_on_hub
         except KeyError:
             print(f"Could not find still on hub")
+        except AttributeError:
+            print(f"AttributeError stillonhub")
 
         try:
             data_dict[AutoEvalColumn.n_shot.name] = self.n_shot.value.name