Update app.py

app.py

@@ -9,7 +9,7 @@ from transformers import pipeline as hf_pipeline
 
 # --- CONFIG ---
 DIAR_PYMODEL = "pyannote/speaker-diarization"   # or a specific version
-HF_TOKEN = os.environ.get("HF_TOKEN", None)    # set as secret in Space if required
+HF_TOKEN = os.environ.get("HF_TOKEN", None)    # set as secret in Spac
 DEVICE = 0 if torch.cuda.is_available() else -1
 
 # create pipelines cache