Delete endpoint.py

endpoint.py

@@ -1,23 +0,0 @@
-from typing import  Dict, List
-import numpy as np
-
-class EndpointHandler():
-    def __init__(self, path=""):
-        # IMPLEMENT_THIS
-        # Preload all the elements you are going to need at inference.
-        # For instance your model, processors, tokenizer that might be needed.
-        # This function is only called once, so do all the heavy processing I/O here"""
-        self.path = path
-
-    def __call__(self, inputs: str) -> List[List[Dict[str, float]]]:
-        """
-        Args:
-            inputs (:obj:`str`):
-                a string containing some text
-        Return:
-            A :obj:`list`:. The object returned should be a list of one list like [[{"label": 0.9939950108528137}]] containing :
-                - "label": A string representing what the label/class is. There can be multiple labels.
-                - "score": A score between 0 and 1 describing how confident the model is for this label/class.
-        """
-        # IMPLEMENT_THIS
-        return inputs