Update app.py

app.py

@@ -25,7 +25,7 @@ embedding_model = PretrainedSpeakerEmbedding(
     device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
     )
 
-#output=""
+output=""
 ######################################################
 def audio_to_text(audio, num_speakers):
   path, error = convert_to_wav(audio)
@@ -46,7 +46,8 @@ def audio_to_text(audio, num_speakers):
   else:
     embeddings = make_embeddings(path, segments, duration)
     add_speaker_labels(segments, embeddings, num_speakers)
-  global output = get_output(segments)
+  global output
+  output = get_output(segments)
   #short_sum=text_to_short_summary(str(output))
   return output