Update app.py

app.py

@@ -20,8 +20,9 @@ from transformers.pipelines.audio_utils import ffmpeg_read
 HF_TOKEN = os.environ.get("HF_TOKEN")
 
 # set up the diarization pipeline
-diarization_pipeline = Pipeline.from_pretrained("pyannote/speaker-diarization-3.0", use_auth_token=HF_TOKEN)
+#diarization_pipeline = Pipeline.from_pretrained("pyannote/speaker-diarization-3.0", use_auth_token=HF_TOKEN)
 #diarization_pipeline = Pipeline.from_pretrained("pyannote/speaker-diarization", use_auth_token=HF_TOKEN)
+diarization_pipeline = Pipeline.from_pretrained("pyannote/speaker-diarization-3.1, use_auth_token=HF_TOKEN)
 
 if torch.cuda.is_available():
  diarization_pipeline.to(torch.device("cuda"))