Update app.py

app.py

@@ -18,7 +18,7 @@ model, utils = torch.hub.load(repo_or_dir='snakers4/silero-vad',
  collect_chunks) = utils
 
 
-def get_labels(audio_fp, threshold, min_speech_duration_ms, min_silence_duration_ms, auto_merge, uppper_merge_threshold, max_seg_length):
+def get_labels(audio_fp, threshold, min_speech_duration_ms, min_silence_duration_ms, auto_merge, uppper_merge_threshold, max_segment_length):
     wav, sr = torchaudio.load(audio_fp)
     wav = torchaudio.functional.resample(wav, orig_freq=sr, new_freq=16000)
     speech_timestamps = get_speech_timestamps(wav,
@@ -49,7 +49,7 @@ def get_labels(audio_fp, threshold, min_speech_duration_ms, min_silence_duration
     new_labels = [list(labels[0])]
     for i in range(1, len(labels)):
         if (
-            gaps[i - 1] <= threshold
+            gaps[i - 1] <= uppper_merge_threshold
             and duration(new_labels[-1]) + gaps[i - 1] + duration(labels[i])
             < max_segment_length
         ):