Update vc_infer_pipeline.py

vc_infer_pipeline.py

@@ -191,20 +191,13 @@ class VC(object):
             elif method == "rmvpe":
                 if hasattr(self, "model_rmvpe") == False:
 
-                    self.model_rmvpe = RMVPE(
-                        download_rmvpe(), is_half=self.is_half, device=self.device
-                    )
+                    self.model_rmvpe = RMVPE(download_rmvpe(), is_half=self.is_half, device=self.device)
+
                 f0 = self.model_rmvpe.infer_from_audio(x, thred=0.03)
                 f0 = f0[1:]
             elif method == "fcpe":
                 self.model_fcpe = FCPEF0Predictor(
-                    download_fcpe(),
-                    f0_min=int(f0_min),
-                    f0_max=int(f0_max),
-                    dtype=torch.float32,
-                    device=self.device,
-                    sampling_rate=self.sr,
-                    threshold=0.03,
+                    download_fcpe(), f0_min=int(f0_min), f0_max=int(f0_max), dtype=torch.float32, device=self.device
                 )
                 f0 = self.model_fcpe.compute_f0(x, p_len=p_len)
                 del self.model_fcpe
@@ -280,9 +273,8 @@ class VC(object):
         elif f0_method == "rmvpe":
             if hasattr(self, "model_rmvpe") == False:
 
-                self.model_rmvpe = RMVPE(
-                    download_rmvpe(), is_half=self.is_half, device=self.device
-                )
+                self.model_rmvpe = RMVPE(download_rmvpe(), is_half=self.is_half, device=self.device)
+
             f0 = self.model_rmvpe.infer_from_audio(x, thred=0.03)
         
         elif f0_method == "rmvpe+":
@@ -294,13 +286,7 @@ class VC(object):
         
         elif f0_method == "fcpe":
             self.model_fcpe = FCPEF0Predictor(
-                download_fcpe(),
-                f0_min=int(f0_min),
-                f0_max=int(f0_max),
-                dtype=torch.float32,
-                device=self.device,
-                sampling_rate=self.sr,
-                threshold=0.03,
+                download_fcpe(), f0_min=int(f0_min), f0_max=int(f0_max), dtype=torch.float32, device=self.device
             )
             f0 = self.model_fcpe.compute_f0(x, p_len=p_len)
             del self.model_fcpe
@@ -347,11 +333,8 @@ class VC(object):
     def get_pitch_dependant_rmvpe(self, x, f0_min=1, f0_max=40000, *args, **kwargs):
         if not hasattr(self, "model_rmvpe"):
             
-            self.model_rmvpe = RMVPE(
-                download_rmvpe(),
-                is_half=self.is_half,
-                device=self.device,
-            )
+            self.model_rmvpe = RMVPE(download_rmvpe(), is_half=self.is_half, device=self.device)
+
             
         f0 = self.model_rmvpe.infer_from_audio_with_pitch(x, thred=0.03, f0_min=f0_min, f0_max=f0_max)