update scripts

src/display/utils.py

@@ -57,10 +57,10 @@ AutoEvalColumn = make_dataclass("AutoEvalColumn", auto_eval_column_dict, frozen=
 @dataclass(frozen=True)
 class EvalQueueColumn:  # Queue column
     model = ColumnContent("model", "markdown", True)
-    revision = ColumnContent("revision", "str", True)
-    private = ColumnContent("private", "bool", True)
-    precision = ColumnContent("precision", "str", True)
-    weight_type = ColumnContent("weight_type", "str", "Original")
+    # revision = ColumnContent("revision", "str", True)
+    # private = ColumnContent("private", "bool", True)
+    # precision = ColumnContent("precision", "str", True)
+    # weight_type = ColumnContent("weight_type", "str", "Original")
     status = ColumnContent("status", "str", True)
 
 ## All the model information that we might need

src/populate.py

@@ -40,7 +40,7 @@ def get_evaluation_queue_df(save_path: str, cols: list) -> list[pd.DataFrame]:
                 data = json.load(fp)
 
             data[utils.EvalQueueColumn.model.name] = data["model"] #formatting.make_clickable_model(data["model"])
-            data[utils.EvalQueueColumn.revision.name] = data.get("revision", "main")
+            # data[utils.EvalQueueColumn.revision.name] = data.get("revision", "main")
 
             all_evals.append(data)
         elif ".md" not in entry:
@@ -52,7 +52,7 @@ def get_evaluation_queue_df(save_path: str, cols: list) -> list[pd.DataFrame]:
                     data = json.load(fp)
 
                 data[utils.EvalQueueColumn.model.name] = formatting.make_clickable_model(data["model"])
-                data[utils.EvalQueueColumn.revision.name] = data.get("revision", "main")
+                # data[utils.EvalQueueColumn.revision.name] = data.get("revision", "main")
                 all_evals.append(data)
 
     pending_list = [e for e in all_evals if e["status"] in ["PENDING", "RERUN"]]