bug fixes (#53)

* bug fixes

* bug fixes

rvc/modules/vc/modules.py

@@ -37,16 +37,25 @@ class VC:
         self.config = Config()
 
     def get_vc(self, sid: str | Path, *to_return_protect: int):
-        logger.info("Get sid: " + os.path.basename(sid))
+        logger.info("Get sid: " + os.path.basename(sid) if hasattr(sid, "name") or isinstance(sid, str) else "ERROR")
 
         return_protect = [
             to_return_protect[0] if self.if_f0 != 0 and to_return_protect else 0.5,
             to_return_protect[1] if self.if_f0 != 0 and to_return_protect else 0.33,
         ]
 
-        person = sid if os.path.exists(sid) else f'{os.getenv("weight_root")}/{sid}'
-        logger.info(f"Loading: {person}")
+        if hasattr(sid, "name"):
+            sid = sid.name
+        elif not isinstance(sid, str):
+            raise RuntimeError(f"pathlib.Path or str expected for sid. Got {type(sid)}")
 
+        weight_root = os.getenv("weight_root")
+        person = sid if os.path.exists(sid) else f'{weight_root if weight_root is not None else "."}/{sid}'
+        logger.info(f"Loading: {person}")
+        
+        if not os.path.exists(person) or person.endswith("/"):
+            raise FileNotFoundError(f"model file not found (path: {person}).")
+        
         self.cpt = torch.load(person, weights_only=False, map_location="cpu")
         self.tgt_sr = self.cpt["config"][-1]
         self.cpt["config"][-3] = self.cpt["weight"]["emb_g.weight"].shape[0]  # n_spk
@@ -66,7 +75,7 @@ class VC:
 
         del self.net_g.enc_q
 
-        if sid == "" or []:
+        if len(sid) == 0:
             logger.info("Clean model cache")
             del (self.hubert_model, self.tgt_sr, self.net_g)
             (self.net_g) = self.n_spk = index = None
@@ -88,19 +97,53 @@ class VC:
     def vc_inference(
         self,
         sid: int,
-        input_audio_path: Path,
+        input_audio_path: Path | str,
         f0_up_key: int = 0,
         f0_method: str = "rmvpe",
-        f0_file: Path | None = None,
-        index_file: Path | None = None,
+        f0_file: Path | str | None = None,
+        index_file: Path | str | None = None,
         index_rate: float = 0.75,
         filter_radius: int = 3,
         resample_sr: int = 0,
         rms_mix_rate: float = 0.25,
         protect: float = 0.33,
-        hubert_path: str | None = None,
+        hubert_path: str | Path | None = None,
     ):
-        hubert_path = os.getenv("hubert_path") if not hubert_path else hubert_path
+        if hubert_path is None:
+            hubert_path = os.getenv("hubert_path")
+        elif hasattr(hubert_path, "name"):
+            hubert_path = hubert_path.name
+        elif not isinstance(hubert_path, str):
+            raise RuntimeError(f"pathlib.Path, str, or None expected for hubert_path. Got {type(hubert_path)}")
+        
+        if hubert_path is None or not os.path.exists(hubert_path):
+            raise FileNotFoundError("hubert_path not found.")
+
+        if hasattr(input_audio_path, "name"):
+            input_audio_path = input_audio_path.name
+        elif not isinstance(input_audio_path, str):
+            raise RuntimeError(f"pathlib.Path or str expected for input_audio_path. Got {type(input_audio_path)}")
+        
+        if not os.path.exists(input_audio_path):
+            raise FileNotFoundError("input_audio_path not found.")
+        
+        if isinstance(f0_file, str):
+            f0_file = Path(f0_file)
+        elif not isinstance(f0_file, Path) and f0_file is not None:
+            raise RuntimeError(f"pathlib.Path, str, or None expected for f0_file. Got {type(f0_file)}")
+        
+        if hasattr(f0_file, "name") and not os.path.exists(f0_file.name):
+            logger.warning("f0_file not found. Will use None instead.")
+            f0_file = None
+        
+        if hasattr(index_file, "name"):
+            index_file = index_file.name
+        elif not isinstance(index_file, str) and index_file is not None:
+            raise RuntimeError(f"pathlib.Path, str, or None expected for index_file. Got {type(index_file)}")
+        
+        if index_file is not None and not os.path.exists(index_file):
+            logger.warning("index_file not found. Will use None instead.")
+            index_file = None
 
         try:
             audio = load_audio(input_audio_path, 16000)
@@ -145,28 +188,31 @@ class VC:
     def vc_multi(
         self,
         sid: int,
-        paths: list,
-        opt_root: Path,
+        paths: list[Path | str],
+        opt_root: Path | str,
         f0_up_key: int = 0,
         f0_method: str = "rmvpe",
-        f0_file: Path | None = None,
-        index_file: Path | None = None,
+        f0_file: Path | str | None = None,
+        index_file: Path | str | None = None,
         index_rate: float = 0.75,
         filter_radius: int = 3,
         resample_sr: int = 0,
         rms_mix_rate: float = 0.25,
         protect: float = 0.33,
         output_format: str = "wav",
-        hubert_path: str | None = None,
+        hubert_path: str | Path | None = None,
     ):
+        if hasattr(opt_root, "name"):
+            opt_root = opt_root.name
+
         try:
             os.makedirs(opt_root, exist_ok=True)
-            paths = [path.name for path in paths]
+            paths = [path.name if hasattr(path, "name") else path for path in paths]
             infos = []
             for path in paths:
                 tgt_sr, audio_opt, _, info = self.vc_inference(
                     sid,
-                    Path(path),
+                    path,
                     f0_up_key,
                     f0_method,
                     f0_file,