adding custom handler

handler.py

@@ -0,0 +1,29 @@
+from typing import Dict, List, Any
+
+from transformers import AutoModel
+
+
+
+class EndpointHandler():
+    def __init__(self, path=""):
+        # Preload all the elements you are going to need at inference.
+        # pseudo:
+        # self.model= load_model(path)
+        self.model = AutoModel.from_pretrained("deepsynthbody/deepfake_ecg", trust_remote_code=True)
+
+    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
+        """
+        num_samples = data.pop("num_samples",data)
+        
+        output = self.model(num_samples)
+
+        # pseudo
+        # self.model(input)
+        
+        return output