Update gpt_config.py

gpt_config.py

@@ -58,7 +58,7 @@ class XTTSGPTConfig(PretrainedConfig):
             label_smoothing: float = 0.0,
 
             # Generation parameters
-            #temperature: float = 0.75,
+            #temperature: float = 0.75, will trow a warning
             #length_penalty: float = 1.0,
             #repetition_penalty: float = 5.0,
             #top_k: int = 50,
@@ -134,11 +134,6 @@ class XTTSGPTConfig(PretrainedConfig):
         self.label_smoothing = label_smoothing
 
         # Generation parameters
-        self.temperature = temperature
-        self.length_penalty = length_penalty
-        self.repetition_penalty = repetition_penalty
-        self.top_k = top_k
-        self.top_p = top_p
         self.gpt_cond_len = gpt_cond_len
         self.gpt_cond_chunk_len = gpt_cond_chunk_len
         self.max_ref_len = max_ref_len
@@ -159,10 +154,10 @@ class XTTSGPTConfig(PretrainedConfig):
         return config_dict
 
     @classmethod
-    def from_dict(cls, config_dict, *args, **kwargs):
+    def from_dict(cls, config_dict):
         """Create config from dictionary"""
         audio_config = XTTSAudioConfig(**config_dict.pop("audio_config", {}))
-        return cls(audio_config=audio_config, **config_dict, **kwargs)
+        return cls(audio_config=audio_config, **config_dict)
 
     def update_with_tokenizer(self, tokenizer=None):
         """Update configuration values based on tokenizer"""