import subprocess

app.py

@@ -37,6 +37,8 @@ import librosa
 
 from scipy.io.wavfile import write, read
 
+import subprocess
+
 '''
 from google.colab import drive
 drive.mount('/content/drive')
@@ -126,9 +128,14 @@ def voice_conversion(ta, ra, da):
   write(reference_audio, ra[0], ra[1])
   write(driving_audio, da[0], da[1])          
 
-  !ffmpeg-normalize $target_audio -nt rms -t=-27 -o $target_audio -ar 16000 -f
-  !ffmpeg-normalize $reference_audio -nt rms -t=-27 -o $reference_audio -ar 16000 -f
-  !ffmpeg-normalize $driving_audio -nt rms -t=-27 -o $driving_audio -ar 16000 -f
+  # !ffmpeg-normalize $target_audio -nt rms -t=-27 -o $target_audio -ar 16000 -f
+  # !ffmpeg-normalize $reference_audio -nt rms -t=-27 -o $reference_audio -ar 16000 -f
+  # !ffmpeg-normalize $driving_audio -nt rms -t=-27 -o $driving_audio -ar 16000 -f
+
+  files = [target_audio, reference_audio, driving_audio]
+
+  for file in files:
+      subprocess.run(["ffmpeg-normalize", file, "-nt", "rms", "-t=-27", "-o", file, "-ar", "16000", "-f"])
 
   # ta_ = read(target_audio)