Initial skeleton handler.

handler.py

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+from typing import Dict, List, Any
+import faster_whisper
+
+class EndpointHandler():
+    def __init__(self, path=""):
+        self.model = faster_whisper.WhisperModel('ivrit-ai/faster-whisper-v2-d3-e3', device='cuda')
+
+    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 a holiday
+        #if date is not None and date in self.holidays:
+        #  return [{"label": "happy", "score": 1}]
+
+
+        # run normal prediction
+        #prediction = self.pipeline(inputs)
+        return {'text' : 'bender is great!'}
+ 

requirements.txt

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+faster-whisper