优化tts_config代码逻辑 (#1538)

* 优化tts_config

* fix

* 优化报错提示

* 优化报错提示

GPT_SoVITS/TTS_infer_pack/TTS.py

@@ -213,6 +213,10 @@ class TTS_Config:
             "cnhuhbert_base_path": self.cnhuhbert_base_path,
         }
         return self.config
+
+    def update_version(self, version:str)->None:
+        self.version = version
+        self.languages = self.v2_languages if self.version=="v2" else self.v1_languages
             
     def __str__(self):
         self.configs = self.update_configs()
@@ -300,13 +304,14 @@ class TTS:
     def init_vits_weights(self, weights_path: str):
         print(f"Loading VITS weights from {weights_path}")
         self.configs.vits_weights_path = weights_path
-        self.configs.save_configs()
         dict_s2 = torch.load(weights_path, map_location=self.configs.device)
         hps = dict_s2["config"]
         if dict_s2['weight']['enc_p.text_embedding.weight'].shape[0] == 322:
-            self.configs.version = "v1"
+            self.configs.update_version("v1")
         else:
-            self.configs.version = "v2"
+            self.configs.update_version("v2")
+        self.configs.save_configs()
+        
         hps["model"]["version"] = self.configs.version
         self.configs.filter_length = hps["data"]["filter_length"]
         self.configs.segment_size = hps["train"]["segment_size"]