custom handler

handler.py

@@ -0,0 +1,22 @@
+from typing import Dict, List, Any
+from InstructorEmbedding import INSTRUCTOR
+
+class EndpointHandler():
+    def __init__(self, path=""):
+        model = INSTRUCTOR('hkunlp/instructor-large')
+        self.model = model
+
+    def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
+        """
+       data args:
+            inputs (:obj: `str`)
+            date (:obj: `str`)
+      Return:
+            A :obj:`list` | `dict`: will be serialized and returned
+        """
+        # get inputs
+        instruction = data.pop("instruction",data)
+        text = data.pop("text", data)
+
+        embeddings = self.model.encode([[instruction,text]])
+        return embeddings[0].tolist()

requirements.txt

@@ -0,0 +1,2 @@
+InstructorEmbedding
+sentence-transformers