Update handler.py

handler.py

@@ -86,7 +86,7 @@ class EndpointHandler:
         pair, freq = inputs["pair"], inputs["frequency"]
         pair = "".join(pair.split("/"))
         pair = f"binance.{pair.upper()}" if "." not in pair else pair
-        timestamps = torch.tensor(inputs["timestamps"])
+        timestamps = torch.tensor(list(map(int, inputs["timestamps"])))
         samples = torch.tensor([inputs["open"], inputs["high"], inputs["low"], inputs["close"], inputs["volume"]], dtype=torch.float32).T.contiguous()
         steps = data.pop("steps", 4)
         n_scenarios = data.pop("n_scenarios", 32)