add custom handler

handler.py

@@ -0,0 +1,15 @@
+from gliner import GLiNER
+from typing import Dict, List, Any
+
+
+class EndpointHandler():
+    def __init__(self, path=""):
+        self.model = GLiNER.from_pretrained("urchade/gliner_large-v2.1")
+
+    def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
+        # get inputs
+        inputs = data.pop("inputs", data)
+        labels = data.pop("labels", None)
+
+        prediction = self.model.batch_predict_entities(inputs, labels)
+        return prediction

requirements.txt

@@ -0,0 +1 @@
+gliner