Tweaks for the leaderboard

app.py

@@ -95,8 +95,12 @@ with tab1:
             results_df["Rank"] = range(1, len(results_df) + 1)
             results_df["URL"] = [
                 f"https://huggingface.co/{row['model_name']}"
+                if (
+                    row["status"] == "completed"
+                    and "shared task team" not in row["model_name"]
+                )
+                else "N/A"
                 for row in model_predictions_rows
-                if row["status"] == "completed"
             ]
             results_df["Commit ID"] = [
                 row["commit_id"][:5]
@@ -213,7 +217,7 @@ with tab1:
                         row["inference_function"],
                     ]
                 )
-                print(f"Started evaluating of {row['model_name']}.")
+                print(f"Started the evaluation of {row['model_name']}.")
 
 with tab2:
     model_name = st.text_input("Enter a model's name on HF")
@@ -281,4 +285,6 @@ with tab2:
             )
 
         else:
-            st.info(f"The model {model_name} is already submitted the leaderboard.")
+            st.info(
+                f"The model {model_name} has already submitted to the leaderboard before."
+            )

background_inference.py

@@ -4,7 +4,11 @@ import utils
 import datasets
 import eval_utils
 from constants import DIALECTS_WITH_LABELS
-from transformers import AutoTokenizer, AutoModel, AutoModelForSequenceClassification
+from transformers import (
+    AutoTokenizer,
+    AutoModelForCausalLM,
+    AutoModelForSequenceClassification,
+)
 from huggingface_hub import login
 
 access_token = os.environ["HF_TOKEN"]
@@ -25,7 +29,7 @@ utils.update_model_queue(
 try:
     tokenizer = AutoTokenizer.from_pretrained(model_name, revision=commit_id)
     if inference_function == "prompt_chat_LLM":
-        model = AutoModel.from_pretrained(model_name, revision=commit_id)
+        model = AutoModelForCausalLM.from_pretrained(model_name, revision=commit_id)
     else:
         model = AutoModelForSequenceClassification.from_pretrained(
             model_name, revision=commit_id