handler

handler.py

@@ -0,0 +1,19 @@
+from transformers import pipeline
+from typing import Dict, List, Any
+from tokenizers.decoders import WordPiece
+
+
+class EndpointDictaBertNERHandler:
+    def __init__(self):
+        self.model = pipeline('ner', model='dicta-il/dictabert-ner', aggregation_strategy='simple')
+        self.model.tokenizer.backend_tokenizer.decoder = WordPiece()
+
+    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
+        """
+        return self.model(data['inputs'])