Refactor GoogleEncoder constructor parameter name

semantic_router/encoders/google.py

@@ -38,7 +38,7 @@ class GoogleEncoder(BaseEncoder):
 
     def __init__(
         self,
-        model_name: Optional[str] = None,
+        name: Optional[str] = None,
         score_threshold: float = 0.3,
         project_id: Optional[str] = None,
         location: Optional[str] = None,
@@ -61,10 +61,10 @@ class GoogleEncoder(BaseEncoder):
         Raises:
             ValueError: If the Google Project ID is not provided or if the AI Platform client fails to initialize.
         """
-        if model_name is None:
-            model_name = EncoderDefault.GOOGLE.value["embedding_model"]
+        if name is None:
+            name = EncoderDefault.GOOGLE.value["embedding_model"]
 
-        super().__init__(model_name=model_name, score_threshold=score_threshold)
+        super().__init__(name=name, score_threshold=score_threshold)
 
         project_id = project_id or os.getenv("GOOGLE_PROJECT_ID")
         location = location or os.getenv("GOOGLE_LOCATION", "us-central1")
@@ -76,7 +76,7 @@ class GoogleEncoder(BaseEncoder):
             aiplatform.init(
                 project=project_id, location=location, api_endpoint=api_endpoint
             )
-            self.client = TextEmbeddingModel.from_pretrained(self.model_name)
+            self.client = TextEmbeddingModel.from_pretrained(self.name)
         except Exception as e:
             raise ValueError(
                 f"Google AI Platform client failed to initialize. Error: {e}"