Fx: capture compile error on Windows

pyproject.toml

@@ -36,7 +36,7 @@ dependencies = [
     "addict",
     "wetext",
     "modelscope>=1.22.0",
-    "datasets>=2,<4",
+    "datasets>=3,<4",
     "huggingface-hub",
     "pydantic",
     "tqdm",

src/voxcpm/core.py

@@ -1,6 +1,7 @@
 import torch
 import torchaudio
 import os
+import re
 import tempfile
 from huggingface_hub import snapshot_download
 from .model.voxcpm import VoxCPMModel
@@ -131,6 +132,7 @@ class VoxCPM:
             raise ValueError("prompt_wav_path and prompt_text must both be provided or both be None")
         
         text = text.replace("\n", " ")
+        text = re.sub(r'\s+', ' ', text)
         temp_prompt_wav_path = None
         
         try:

src/voxcpm/model/voxcpm.py

@@ -160,8 +160,8 @@ class VoxCPMModel(nn.Module):
             self.feat_encoder_step = torch.compile(self.feat_encoder, mode="reduce-overhead", fullgraph=True)
             self.feat_decoder.estimator = torch.compile(self.feat_decoder.estimator, mode="reduce-overhead", fullgraph=True)
         except Exception as e:
-            print(e)
-            print("VoxCPMModel can not be optimized by torch.compile, using original forward_step functions")
+            print(f"Error: {e}")
+            print("Warning: VoxCPMModel can not be optimized by torch.compile, using original forward_step functions")
             self.base_lm.forward_step = self.base_lm.forward_step
             self.residual_lm.forward_step = self.residual_lm.forward_step
             self.feat_encoder_step = self.feat_encoder