fix: numpy数组转换为torch tensor

server.py

@@ -200,6 +200,11 @@ async def synthesize(
         else:
             audio_tensor = result
         
+        # 转换为 torch tensor（如果是 numpy）
+        import numpy as np
+        if isinstance(audio_tensor, np.ndarray):
+            audio_tensor = torch.from_numpy(audio_tensor).float()
+        
         # 确保 tensor 正确形状
         if audio_tensor.dim() == 1:
             audio_tensor = audio_tensor.unsqueeze(0)