Update app.py

app.py

@@ -12,6 +12,8 @@ import os
 from huggingface_hub import hf_hub_download
 from transformers import AutoFeatureExtractor, WhisperModel
 from torch.nn.utils import parametrizations
+from scipy.signal import butter, lfilter
+
 from modules.commons import build_model, load_checkpoint, recursive_munch
 from modules.campplus.DTDNN import CAMPPlus
 from modules.bigvgan import bigvgan
@@ -321,6 +323,16 @@ def voice_conversion(input, reference, steps, guidance, speed):
     print("[INFO] | Final audio normalized.")
 
     # Smoothen the audio to reduce distorted audio
+    def butter_lowpass_filter(data, cutoff=3000, fs=sr_current, order=6):
+        
+        nyq = 0.5 * fs
+        normal_cutoff = cutoff / nyq
+        b, a = butter(order, normal_cutoff, btype='low', analog=False)
+        y = lfilter(b, a, data)
+        return y
+
+    final_audio = butter_lowpass_filter(final_audio)
+    print("[INFO] | Final audio smoothed with low-pass filter.")
     
     # Save the audio to a temporary WAV file
     print("[INFO] | Saving final audio to a temporary WAV file.")