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d675cd3
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1 Parent(s): 076147f

dataset added

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Files changed (50) hide show
  1. app.py +1 -1
  2. audio_chunks/audio_107_chunk_206.mp3 +0 -0
  3. audio_chunks/audio_144_chunk_777.mp3 +0 -0
  4. audio_chunks/audio_144_chunk_778.mp3 +0 -0
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  23. audio_chunks/audio_146_chunk_1271.mp3 +0 -0
  24. audio_chunks/audio_146_chunk_1272.mp3 +0 -0
  25. audio_chunks/audio_146_chunk_1273.mp3 +0 -0
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  27. audio_chunks/audio_146_chunk_1275.mp3 +0 -0
  28. audio_chunks/audio_146_chunk_1276.mp3 +0 -0
  29. audio_chunks/audio_146_chunk_1277.mp3 +0 -0
  30. audio_chunks/audio_146_chunk_1278.mp3 +0 -0
  31. audio_chunks/audio_148_chunk_775.mp3 +0 -0
  32. audio_chunks/audio_148_chunk_776.mp3 +0 -0
  33. audio_chunks/audio_156_chunk_797.mp3 +0 -0
  34. audio_chunks/audio_156_chunk_798.mp3 +0 -0
  35. audio_chunks/audio_156_chunk_799.mp3 +0 -0
  36. audio_chunks/audio_156_chunk_800.mp3 +0 -0
  37. audio_chunks/audio_156_chunk_801.mp3 +0 -0
  38. audio_chunks/audio_156_chunk_802.mp3 +0 -0
  39. audio_chunks/audio_156_chunk_803.mp3 +0 -0
  40. audio_chunks/audio_156_chunk_804.mp3 +0 -0
  41. audio_chunks/audio_156_chunk_805.mp3 +0 -0
  42. audio_chunks/audio_156_chunk_806.mp3 +0 -0
  43. audio_chunks/audio_156_chunk_807.mp3 +0 -0
  44. audio_chunks/audio_156_chunk_808.mp3 +0 -0
  45. audio_chunks/audio_156_chunk_809.mp3 +0 -0
  46. audio_chunks/audio_156_chunk_810.mp3 +0 -0
  47. audio_chunks/audio_156_chunk_811.mp3 +0 -0
  48. audio_chunks/audio_156_chunk_812.mp3 +0 -0
  49. audio_chunks/audio_156_chunk_813.mp3 +0 -0
  50. audio_chunks/audio_156_chunk_814.mp3 +0 -0
app.py CHANGED
@@ -18,7 +18,7 @@ df_mapping = pd.read_csv('audio_chunk_mapping_with_transcription_embeddings.csv'
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  # Function to process the input audio and retrieve the most similar audio chunk
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  def process_and_find_audio(audio_file):
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  # Load audio from the file path
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- audio_path = "/teamspace/studios/this_studio/temp_audio.wav" # Path to temporarily save audio if needed
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  sample_rate,audio_np = audio_file
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  # Save the numpy array as an audio file if you need to pass it to the Whisper model
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  audio_segment = AudioSegment(
 
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  # Function to process the input audio and retrieve the most similar audio chunk
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  def process_and_find_audio(audio_file):
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  # Load audio from the file path
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+ audio_path = "./temp_audio.wav" # Path to temporarily save audio if needed
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  sample_rate,audio_np = audio_file
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  # Save the numpy array as an audio file if you need to pass it to the Whisper model
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  audio_segment = AudioSegment(
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