Upload handler.py

handler.py

@@ -0,0 +1,32 @@
+from typing import Dict, List, Any
+import pickle
+import numpy as np
+import pandas as pd
+class EndpointHandler:
+    def __init__(self, path=""):
+        # Load the serialized model
+        with open(path, 'rb') as f:
+            self.model = pickle.load(f)
+
+    def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
+        """
+        data args:
+            user_id (:obj: `str` or `int`)
+            k (:obj: `int`, optional)
+        Return:
+            A :obj:`list` of :obj:`dict`: will be serialized and returned
+        """
+        # Get inputs
+        user_id = data.pop("user_id", None)
+        k = data.pop("k", 10)  # Default to 10 if not provided
+
+        if user_id is None:
+            return [{"error": "user_id is required"}]
+
+        # Run prediction
+        try:
+            recommended_books = self.model.predict(user_id, k=k)
+            return [{"recommended_books": recommended_books.tolist()}]
+        except Exception as e:
+            return [{"error": str(e)}]
+