Update app.py

app.py

@@ -18,14 +18,24 @@ login(token)
 
 print("Loading dataset...")
 try:
-    dataset = load_dataset("sudoping01/bambara-speech-recognition-benchmark", name="default", use_auth_token=token)["eval"]
+    # Try loading without use_auth_token parameter since it's not accepted
+    dataset = load_dataset("sudoping01/bambara-speech-recognition-benchmark", name="default")["eval"]
     print(f"Successfully loaded dataset with {len(dataset)} samples")
     references = {row["id"]: row["text"] for row in dataset}
 except Exception as e:
     print(f"Error loading dataset: {str(e)}")
-    # Fallback in case dataset can't be loaded
-    references = {}
-    print("WARNING: Using empty references dictionary due to dataset loading error")
+    try:
+        # Second attempt with token passed differently
+        from huggingface_hub import HfApi
+        api = HfApi(token=token)
+        dataset = load_dataset("sudoping01/bambara-speech-recognition-benchmark", name="default")["eval"]
+        print(f"Successfully loaded dataset with {len(dataset)} samples")
+        references = {row["id"]: row["text"] for row in dataset}
+    except Exception as e2:
+        print(f"Second attempt error: {str(e2)}")
+        # Fallback in case dataset can't be loaded
+        references = {}
+        print("WARNING: Using empty references dictionary due to dataset loading error")
 
 # Initialize leaderboard file
 leaderboard_file = "leaderboard.csv"
@@ -277,13 +287,11 @@ with gr.Blocks(title="Bambara ASR Leaderboard") as demo:
         with gr.Column(scale=1):
             submitter = gr.Textbox(
                 label="Submitter Name or Model Name", 
-                placeholder="e.g., MALIBA-AI/asr",
-                info="Name to appear on the leaderboard"
+                placeholder="e.g., MALIBA-AI/asr"
             )
             csv_upload = gr.File(
                 label="Upload CSV File", 
-                file_types=[".csv"],
-                info="CSV must have 'id' and 'text' columns"
+                file_types=[".csv"]
             )
             submit_btn = gr.Button("Submit", variant="primary")