Dummy handler

handler.py

@@ -1,18 +1,19 @@
 from typing import Any, List, Dict
 import torch
 
-from chronos import ChronosPipeline
+# from chronos import ChronosPipeline
 
 
 class EndpointHandler:
-    def __init__(self) -> None:
-        self.pipeline = ChronosPipeline.from_pretrained("amazon/chronos-t5-tiny")
+    def __init__(self, path: str = "") -> None:
+        # self.pipeline = ChronosPipeline.from_pretrained("amazon/chronos-t5-tiny")
+        pass
 
     def __call__(self, data: Any) -> List[Dict[str, float]]:
         inputs = data.pop("inputs")
-        # parameters = data.pop("parameters", {"prediction_length"})
+        # # parameters = data.pop("parameters", {"prediction_length"})
 
-        forecast = self.pipeline.predict(
-            torch.tensor(inputs["context"]), prediction_length=5
-        )
-        return {"forecast": forecast.tolist()}
+        # forecast = self.pipeline.predict(
+        #     torch.tensor(inputs["context"]), prediction_length=5
+        # )
+        return {"response": [1, 2, 3]}