Delete pipeline.py

pipeline.py

@@ -1,29 +0,0 @@
-from typing import Dict, List, Any
-from transformers import pipeline
-import holidays
-
-class PreTrainedPipeline():
-    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]]:
-        """
-       data args:
-            inputs (:obj: `str`)
-            date (:obj: `str`)
-      Return:
-            A :obj:`list` | `dict`: will be serialized and returned
-        """
-        # get inputs 
-        inputs = data.pop("inputs",data)
-        date = data.pop("date", None)
-
-        # check if date exists and if it is holiday
-        if date is not None and date in self.holidays: 
-          return [{"label": "happy", "score": 1}]
-
-
-        # run normal prediction
-        prediction = self.pipeline(inputs)
-        return prediction