diff --git a/GPT_SoVITS/onnx_export.py b/GPT_SoVITS/onnx_export.py
index 8b2fad11..be1f33ce 100644
--- a/GPT_SoVITS/onnx_export.py
+++ b/GPT_SoVITS/onnx_export.py
@@ -51,14 +51,13 @@ def resample_audio(audio: torch.Tensor, orig_sr: int, target_sr: int) -> torch.T
         audio = audio.unsqueeze(0)
     # audio shape: (batch, channels, samples)
     batch, channels, samples = audio.shape
-    new_samples = int(samples * target_sr / orig_sr)
-    audio = audio.view(batch * channels, 1, samples)
-    resampled = F.interpolate(audio, size=new_samples, mode='linear', align_corners=False)
-    resampled = resampled.view(batch, channels, new_samples)
-    if resampled.shape[0] == 1 and resampled.shape[1] == 1:
-        resampled = resampled.squeeze(0).squeeze(0)
-    elif resampled.shape[0] == 1:
-        resampled = resampled.squeeze(0)
+    # Reshape to combine batch and channels for interpolation
+    audio = audio.reshape(batch * channels, 1, samples)
+    # Use scale_factor instead of a computed size for ONNX export compatibility
+    resampled = F.interpolate(audio, scale_factor=target_sr / orig_sr, mode='linear', align_corners=False)
+    new_samples = resampled.shape[-1]
+    resampled = resampled.reshape(batch, channels, new_samples)
+    resampled = resampled.squeeze(0).squeeze(0)
     return resampled
 
 
diff --git a/playground/freerun.py b/playground/freerun.py
index 225395c6..66877ff3 100644
--- a/playground/freerun.py
+++ b/playground/freerun.py
@@ -7,7 +7,7 @@ import torch
 from TTS_infer_pack.TextPreprocessor_onnx import TextPreprocessorOnnx
 
 
-MODEL_PATH = "playground/v2pro_export/v2pro"
+MODEL_PATH = "onnx/v2pro_export/v2pro"
 
 def audio_postprocess(
     audios,