Update app.py

app.py

@@ -12,10 +12,11 @@ from transformers import pipeline as hf_pipeline
 HF_TOKEN = os.getenv("HF_TOKEN")
 
 diarization_pipeline = Pipeline.from_pretrained(
-    "pyannote/speaker-diarization",
-    use_auth_token=HF_TOKEN
+    "pyannote/speaker-diarization-3.1", # Highly recommended to use the latest version
+    token=HF_TOKEN
 )
 
+
 whisper_model = whisper.load_model("base")
 
 sentiment_pipeline = hf_pipeline(