update: token

app.py

@@ -8,6 +8,12 @@ from init import is_model_on_hub, upload_file, load_all_info_from_dataset_hub
 from utils_display import PhonemeEvalColumn, fields, make_clickable_model, styled_error, styled_message
 import numpy as np
 from datetime import datetime, timezone
+from dotenv import load_dotenv
+
+# Load environment variables from .env file
+load_dotenv()
+
+HF_TOKEN = os.environ.get("HF_TOKEN", None)
 
 LAST_UPDATED = "Oct 2nd 2025"
 
@@ -104,7 +110,10 @@ def load_results(results_dir: str) -> pd.DataFrame:
 # Load initial data
 try:
     eval_queue_repo, requested_models, csv_results = load_all_info_from_dataset_hub()
-    if csv_results and csv_results.exists():
+    if eval_queue_repo is None or requested_models is None or csv_results is None:
+        # No token provided, fallback to local results
+        original_df = load_results(EVAL_RESULTS_DIR)
+    elif csv_results and csv_results.exists():
         original_df = pd.read_csv(csv_results)
         # Format the columns
         def formatter(x):
@@ -182,7 +191,7 @@ def request_model(model_text, chb_phoneme_asr, chb_kids_phoneme_md):
     
     fn_datasets = '@ '.join(dataset_selection)
     filename = model_text.replace("/","@") + "@@" + fn_datasets 
-    if filename in requested_models:
+    if requested_models and filename in requested_models:
         return styled_error(f"A request for this model '{model_text}' and dataset(s) was already made.")
     try:
         filename_ext = filename + ".txt"
@@ -195,7 +204,8 @@ def request_model(model_text, chb_phoneme_asr, chb_kids_phoneme_md):
         upload_file(filename, out_filepath)
         
         # Include file in the list of uploaded files
-        requested_models.append(filename)
+        if requested_models is not None:
+            requested_models.append(filename)
         
         # Remove the local file
         out_filepath.unlink()
@@ -286,4 +296,4 @@ with gr.Blocks(css=LEADERBOARD_CSS) as demo:
                 show_copy_button=True,
             )
 
-demo.launch(ssr_mode=False)
+demo.launch()

init.py

@@ -39,7 +39,8 @@ def load_all_info_from_dataset_hub():
         if csv_results is None:
             passed = False
     if not passed:
-        raise ValueError("No Hugging Face token provided. Skipping evaluation requests and results.")
+        print("No Hugging Face token provided. Skipping evaluation requests and results.")
+        return None, None, None
 
     return eval_queue_repo, requested_models, csv_results