Update handler.py

handler.py

@@ -1,22 +1,22 @@
-from typing import Dict, List, Any
-from sentence_transformers import SentenceTransformer
-
-class EndpointHandler():
-    def __init__(self, path=""):
-        # Preload all the elements you are going to need at inference.
-        # pseudo:
-        # self.model= load_model(path)
-        self.embedding_model = SentenceTransformer(path,trust_remote_code=True,)
-
-    def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
-        """
-       data args:
-            inputs (:obj: `str` | `PIL.Image` | `np.array`)
-            kwargs
-      Return:
-            A :obj:`list` | `dict`: will be serialized and returned
-        """
-        embeddings = self.embedding_model.encode(data)
-        return embeddings
-        # pseudo
+from typing import Dict, List, Any
+from sentence_transformers import SentenceTransformer
+
+class EndpointHandler():
+    def __init__(self, path="NV-Embed-v2"):
+        # Preload all the elements you are going to need at inference.
+        # pseudo:
+        # self.model= load_model(path)
+        self.embedding_model = SentenceTransformer(path)
+
+    def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
+        """
+       data args:
+            inputs (:obj: `str` | `PIL.Image` | `np.array`)
+            kwargs
+      Return:
+            A :obj:`list` | `dict`: will be serialized and returned
+        """
+        embeddings = self.embedding_model.encode(data)
+        return embeddings
+        # pseudo
         # self.model(input)