Update app.py

app.py

@@ -188,6 +188,10 @@ footer {
 @torch.no_grad()
 @torch.inference_mode()
 def voice_conversion(input, reference, steps, guidance, pitch, speed):
+    inference_module, mel_fn, bigvgan_fn = model, to_mel, bigvgan_model
+    bitrate, sampling_rate, sr_current, hop_length_current = "320k", 16000, 22050, 256
+    max_context_window, overlap_wave_len = sr_current // hop_length_current * 30, 16 * hop_length_current
+
     # Load and process input audio
     source_audio, _ = librosa.load(input, sr=sr_current)
     ref_audio, _ = librosa.load(reference, sr=sr_current)