diff --git a/voice_conversion/so-vits-svc-paul-v2/src/so_vits_svc_fork/inference/core.py b/voice_conversion/so-vits-svc-paul-v2/src/so_vits_svc_fork/inference/core.py
index 2393c5d..cf5ce94 100644
--- a/voice_conversion/so-vits-svc-paul-v2/src/so_vits_svc_fork/inference/core.py
+++ b/voice_conversion/so-vits-svc-paul-v2/src/so_vits_svc_fork/inference/core.py
@@ -12,7 +12,7 @@ import torch
 from cm_time import timer
 from numpy import dtype, float32, ndarray
 
-from so_vits_svc_fork import f0
+from so_vits_svc_fork import f0 as so_vits_svc_f0
 from so_vits_svc_fork import utils
 from so_vits_svc_fork import cluster
 
@@ -147,13 +147,13 @@ class Svc:
             "crepe", "crepe-tiny", "parselmouth", "dio", "harvest"
         ] = "dio",
     ):
-        f0 = so_vits_svc_fork.f0.compute_f0(
+        f0 = so_vits_svc_f0.compute_f0(
             audio,
             sampling_rate=self.target_sample,
             hop_length=self.hop_size,
             method=f0_method,
         )
-        f0, uv = so_vits_svc_fork.f0.interpolate_f0(f0)
+        f0, uv = so_vits_svc_f0.interpolate_f0(f0)
         f0 = torch.as_tensor(f0, dtype=self.dtype, device=self.device)
         uv = torch.as_tensor(uv, dtype=self.dtype, device=self.device)
         f0 = f0 * 2 ** (tran / 12)
@@ -266,7 +266,7 @@ class Svc:
         chunk_length_min = chunk_length_min = (
             int(
                 min(
-                    sr / so_vits_svc_fork.f0.f0_min * 20 + 1,
+                    sr / so_vits_svc_f0.f0_min * 20 + 1,
                     chunk_seconds * sr,
                 )
             )
@@ -590,7 +590,7 @@ class RealtimeVC2:
         LOG.info(f"input_audio_store: {self.input_audio_store.shape}")
         sr = self.svc_model.target_sample
         chunk_length_min = (
-            int(min(sr / so_vits_svc_fork.f0.f0_min * 20 + 1, chunk_seconds * sr)) // 2
+            int(min(sr / so_vits_svc_f0.f0_min * 20 + 1, chunk_seconds * sr)) // 2
         )
         LOG.info(f"Chunk length min: {chunk_length_min}")
         chunk_list = list(