NeuralFalcon commited on
Commit
7a5ba7d
·
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1 Parent(s): a3fb714

Update app.py

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Files changed (1) hide show
  1. app.py +9 -7
app.py CHANGED
@@ -21,7 +21,7 @@ from pydub import AudioSegment
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  from pydub.silence import split_on_silence
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  import os
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- def remove_silence(file_path,output_path):
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  # Extract file name and format from the provided path
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  file_name = os.path.basename(file_path)
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  audio_format = "wav"
@@ -31,7 +31,7 @@ def remove_silence(file_path,output_path):
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  audio_chunks = split_on_silence(sound,
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  min_silence_len=100,
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  silence_thresh=-45,
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- keep_silence=100) #50
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  # Putting the file back together
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  combined = AudioSegment.empty()
@@ -43,7 +43,7 @@ def remove_silence(file_path,output_path):
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  return output_path
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- def process_file(upload_audio_path):
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  base_path = os.path.dirname(upload_audio_path)
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  base_file_name = os.path.basename(upload_audio_path)
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  file_name_without_extension, file_extension = os.path.splitext(base_file_name)
@@ -59,7 +59,7 @@ def process_file(upload_audio_path):
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  else:
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  raise ValueError("Unsupported file format. Please upload an MP3 or WAV file.")
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  output_path=os.path.join(base_path, f"{file_name_without_extension}_{random_uuid}.wav")
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- remove_silence(save_path,output_path)
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  return output_path
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  def store_path_in_json(path, json_file_path="stored_paths.json"):
@@ -155,9 +155,10 @@ import os
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- def process_audio(audio_file):
 
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  # Process the uploaded audio file
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- output_audio_file= process_file(audio_file)
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  # Store the processed file path in a JSON file
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  store_path_in_json(output_audio_file)
@@ -172,7 +173,8 @@ def process_audio(audio_file):
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  demo = gr.Interface(process_audio,
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- [gr.Audio(label="Upload Audio",type="filepath",sources=['upload', 'microphone'])],
 
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  [gr.Audio(label="Play Audio"),gr.File(label="Download Audio File"),gr.Textbox(label="Duration")],
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  examples=['./audio/audio.wav'],
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  cache_examples=True)
 
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  from pydub.silence import split_on_silence
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  import os
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+ def remove_silence(file_path,output_path,minimum_silence=50):
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  # Extract file name and format from the provided path
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  file_name = os.path.basename(file_path)
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  audio_format = "wav"
 
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  audio_chunks = split_on_silence(sound,
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  min_silence_len=100,
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  silence_thresh=-45,
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+ keep_silence=minimum_silence)
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  # Putting the file back together
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  combined = AudioSegment.empty()
 
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  return output_path
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+ def process_file(upload_audio_path,silence=50):
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  base_path = os.path.dirname(upload_audio_path)
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  base_file_name = os.path.basename(upload_audio_path)
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  file_name_without_extension, file_extension = os.path.splitext(base_file_name)
 
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  else:
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  raise ValueError("Unsupported file format. Please upload an MP3 or WAV file.")
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  output_path=os.path.join(base_path, f"{file_name_without_extension}_{random_uuid}.wav")
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+ remove_silence(save_path,output_path,minimum_silence=silence)
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  return output_path
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  def store_path_in_json(path, json_file_path="stored_paths.json"):
 
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156
 
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+ def process_audio(audio_file,keep_silence):
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+ keep_silence=int(seconds * 1000)
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  # Process the uploaded audio file
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+ output_audio_file= process_file(audio_file,silence=keep_silence)
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  # Store the processed file path in a JSON file
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  store_path_in_json(output_audio_file)
 
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174
 
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  demo = gr.Interface(process_audio,
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+ [gr.Audio(label="Upload Audio",type="filepath",sources=['upload', 'microphone']),
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+ gr.Number(label="Keep Silence Upto (In seconds)",value=0.05)],
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  [gr.Audio(label="Play Audio"),gr.File(label="Download Audio File"),gr.Textbox(label="Duration")],
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  examples=['./audio/audio.wav'],
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  cache_examples=True)