Update app.py

app.py

@@ -17,7 +17,7 @@ import moviepy.editor as mp
 import datetime
 import torch
 import pyannote.audio
-from pyannote.audio.pipelines.speaker_verification import NeMoPretrainedSpeakerEmbedding
+from pyannote.audio.pipelines.speaker_verification import PyannoteAudioPretrainedSpeakerEmbedding
 from pyannote.audio import Audio
 from pyannote.core import Segment
 import wave
@@ -141,7 +141,7 @@ def Transcribe_V1(NumberOfSpeakers, SpeakerNames="", audio="temp_audio.wav"):
 
 def Transcribe_V2(num_speakers, speaker_names, audio="temp_audio.wav"):
  model = whisper.load_model("medium")
- embedding_model = NeMoPretrainedSpeakerEmbedding()
+ embedding_model = PyannoteAudioPretrainedSpeakerEmbedding("pyannote/embedding")
  # embedding_model = PretrainedSpeakerEmbedding(
  # "speechbrain/spkrec-ecapa-voxceleb",
  # device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')