Update app.py

app.py

@@ -16,7 +16,7 @@ import contextlib
 
 from sklearn.cluster import AgglomerativeClustering
 import numpy as np
-output=""
+#output=""
 
 model = whisper.load_model("large-v2")
 embedding_model = PretrainedSpeakerEmbedding( 
@@ -42,7 +42,7 @@ def audio_to_text(audio, num_speakers):
   else:
     embeddings = make_embeddings(path, segments, duration)
     add_speaker_labels(segments, embeddings, num_speakers)
-  global output
+  #global output
   output = get_output(segments)
   return output