test resultst

app.py

@@ -71,12 +71,6 @@ def init_leaderboard(dataframe, track):
         ),
         search_columns=[AutoEvalColumn.model.name, AutoEvalColumn.license.name],
         hide_columns=[c.name for c in fields(AutoEvalColumn) if c.hidden],
-        filter_columns=[
-            ColumnFilter(AutoEvalColumn.model_type.name, type="checkboxgroup", label="Model types"),
-            ColumnFilter(
-                AutoEvalColumn.still_on_hub.name, type="boolean", label="Deleted/incomplete", default=True
-            ),
-        ],
         bool_checkboxgroup_label="Hide models",
         interactive=False,
     )

src/submission/submit.py

@@ -31,7 +31,7 @@ def add_new_eval(
 
     user_name = ""
     model_path = model_name
-    if "/" in model:
+    if "/" in model_name:
         user_name = model_name.split("/")[0]
         model_path = model_name.split("/")[1]
 
@@ -58,13 +58,13 @@ def add_new_eval(
             return styled_error(f'Base model "{base_model}" {error}')
 
     if not weight_type == "Adapter":
-        model_on_hub, error, _ = is_model_on_hub(model_name=model, revision=revision, token=TOKEN, test_tokenizer=True)
+        model_on_hub, error, _ = is_model_on_hub(model_name=model_name, revision=revision, token=TOKEN, test_tokenizer=True)
         if not model_on_hub:
-            return styled_error(f'Model "{model}" {error}')
+            return styled_error(f'Model "{model_name}" {error}')
 
     # Is the model info correctly filled?
     try:
-        model_info = API.model_info(repo_id=model, revision=revision)
+        model_info = API.model_info(repo_id=model_name, revision=revision)
     except Exception:
         return styled_error("Could not get your model information. Please fill it up properly.")
 
@@ -76,7 +76,7 @@ def add_new_eval(
     except Exception:
         return styled_error("Please select a license for your model")
 
-    modelcard_OK, error_msg = check_model_card(model)
+    modelcard_OK, error_msg = check_model_card(model_name)
     if not modelcard_OK:
         return styled_error(error_msg)
 
@@ -101,7 +101,7 @@ def add_new_eval(
     }
 
     # Check for duplicate submission
-    if f"{model}_{revision}_{precision}" in REQUESTED_MODELS:
+    if f"{model_name}_{revision}_{precision}" in REQUESTED_MODELS:
         return styled_warning("This model has been already submitted.")
 
     print("Creating eval file")
@@ -118,7 +118,7 @@ def add_new_eval(
         path_in_repo=out_path.split("eval-queue/")[1],
         repo_id=QUEUE_REPO,
         repo_type="dataset",
-        commit_message=f"Add {model} to eval queue",
+        commit_message=f"Add {model_name} to eval queue",
     )
 
     # Remove the local file