Update handler.py

handler.py

@@ -1,11 +1,11 @@
 from typing import Dict, List, Any
 from transformers import pipeline
-import holidays
+
 
 class EndpointHandler():
     def __init__(self, path=""):
         self.pipeline = pipeline("text-classification",model=path)
-        self.holidays = holidays.US()
+
 
     def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
         """
@@ -19,7 +19,7 @@ class EndpointHandler():
         inputs = data.pop("inputs",data)
         date = data.pop("date", None)
         # check if date exists and if it is a holiday
-        if date is not None and date in self.holidays:
+        if date is None:
           return [{"label": "happy", "score": 1}]
         # run normal prediction
         prediction = self.pipeline(inputs)