using librosa to load the audio file
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@@ -1,5 +1,30 @@
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import subprocess
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import os
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import librosa
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import soundfile as sf
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import tempfile
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def preprocess_audio(input_file: str, target_sr: int = 41000):
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"""
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Preprocess the audio file by loading, converting to mono, and resampling.
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Parameters:
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input_file (str): Path to the input audio file to be processed.
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target_sr (int): The target sample rate for the resampled audio.
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Returns:
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str: Path to the temporary processed audio file.
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"""
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# Load the audio with librosa, converting to mono and resampling
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waveform, sr = librosa.load(input_file, sr=target_sr, mono=True)
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# Create a temporary file to save the processed audio
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temp_audio_path = tempfile.mktemp(suffix=".wav")
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# Save the processed audio to the temporary file
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sf.write(temp_audio_path, waveform, target_sr)
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return temp_audio_path
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def separate_audio_with_demucs(input_file: str, output_dir: str = './separated_output'):
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"""
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@@ -12,12 +37,14 @@ def separate_audio_with_demucs(input_file: str, output_dir: str = './separated_o
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# Create the output directory if it does not exist
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os.makedirs(output_dir, exist_ok=True)
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# Preprocess the audio file
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processed_audio = preprocess_audio(input_file)
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# Demucs command to separate the audio file
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# --out: specifies output directory
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command = [
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'demucs',
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'--out', output_dir, # Output directory for separated tracks
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input_file # Input file
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processed_audio # Input processed file
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]
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try:
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@@ -28,6 +55,9 @@ def separate_audio_with_demucs(input_file: str, output_dir: str = './separated_o
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print(f"An error occurred while running Demucs: {e}")
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except FileNotFoundError:
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print("Demucs is not installed or not found in the system PATH.")
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finally:
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# Clean up the temporary file
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os.remove(processed_audio)
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if __name__ == "__main__":
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# Example usage
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