handler.py

handler.py

@@ -0,0 +1,24 @@
+from typing import Dict, Any
+from transformers import pipeline
+
+
+class EndpointHandler:
+    def __init__(self, path=""):
+        self.pipeline = pipeline("text-classification",model=path)
+
+    def __call__(self, data: Dict[str, Any]) -> Dict[str, Any]:
+        """
+       data args:
+            inputs (:obj: `str`)
+      Return:
+            A :obj:`list` | `dict`: will be serialized and returned
+        """
+        # get inputs
+        inputs = data.pop("inputs",data)
+
+        # run normal prediction
+        prediction = self.pipeline(inputs)
+        return {
+            "inputs": inputs,
+            "outputs": prediction
+        }