Create handler.py

handler.py

@@ -0,0 +1,33 @@
+from typing import Dict, List, Any
+from transformers import pipeline
+import mii
+
+class EndpointHandler():
+    def __init__(self, path=""):
+        self.deploy_name = "bert"
+        mii_config = {"dtype": "fp16"}
+        mii.deploy(task='text-classification',
+                   model=path,
+                   deployment_name=deploy_name,
+                   mii_config=mii_config)
+        # create handler for server
+        self.pipeline = mii.mii_query_handle(self.deploy_name)
+
+
+    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
+        inputs = data.pop("inputs",data)
+        date = data.pop("date", None)
+        # check if date exists and if it is a holiday
+        if date is not None and date in self.holidays:
+          return [{"label": "happy", "score": 1}]
+        # run normal prediction
+        prediction = self.pipeline(inputs)
+        return prediction