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Update app.py
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app.py
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@@ -16,13 +16,15 @@ import math
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from scipy.signal import butter, sosfiltfilt
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def apply_low_pass_filter(audio_segment, cutoff_freq, order=6):
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"""
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Applies a low-pass filter to an AudioSegment.
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Args:
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audio_segment: The AudioSegment to filter.
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cutoff_freq: The cutoff frequency in Hz.
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order: The order of the Butterworth filter.
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Returns:
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A new AudioSegment with the filtered audio.
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"""
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@@ -32,7 +34,23 @@ def apply_low_pass_filter(audio_segment, cutoff_freq, order=6): ##added
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normalized_cutoff = cutoff_freq / nyquist_freq
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sos = butter(order, normalized_cutoff, btype='low', output='sos')
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filtered_array = sosfiltfilt(sos, segment_array)
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def get_silence(duration_ms=1000):
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from scipy.signal import butter, sosfiltfilt
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def apply_low_pass_filter(audio_segment, cutoff_freq, order=6):
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"""
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Applies a low-pass filter to an AudioSegment.
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Args:
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audio_segment: The AudioSegment to filter.
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cutoff_freq: The cutoff frequency in Hz.
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order: The order of the Butterworth filter.
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Returns:
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A new AudioSegment with the filtered audio.
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"""
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normalized_cutoff = cutoff_freq / nyquist_freq
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sos = butter(order, normalized_cutoff, btype='low', output='sos')
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filtered_array = sosfiltfilt(sos, segment_array)
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sample_width = audio_segment.sample_width
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dtype = None
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if sample_width == 1:
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dtype = np.int8
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elif sample_width == 2:
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dtype = np.int16
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elif sample_width == 3:
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dtype = np.int32 # Or potentially a custom type depending on the library
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elif sample_width == 4:
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dtype = np.int32
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if dtype is not None:
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return audio_segment._spawn(filtered_array.astype(dtype))
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else:
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raise ValueError(f"Unsupported sample width: {sample_width}")
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def get_silence(duration_ms=1000):
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