hf

app.py

@@ -52,6 +52,8 @@ def load_models():
     global tts_ha, tts_en, tts_yo, tts_ig
     device = 0 if torch.cuda.is_available() else -1
     hf_token = os.getenv("HF_TOKEN")
+    if hf_token:
+        hf_token = hf_token.strip()
     if not hf_token:
         logger.warning("HF_TOKEN not set! This may cause authentication failures for gated repositories.")
         logger.warning("Please set HF_TOKEN environment variable to access restricted models.")
@@ -91,6 +93,8 @@ def _get_asr(lang_code: str):
         return entry["model"], entry["proc"]
     repo_id = entry["repo"]
     hf_token = os.getenv("HF_TOKEN")
+    if hf_token:
+        hf_token = hf_token.strip()
     try:
         device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
         logger.info(f"Lazy-loading ASR for {lang_code} from {repo_id}...")