Update handler.py

handler.py

@@ -24,9 +24,9 @@ class EndpointHandler():
                 - "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.
         """
-        text = data.pop("text", data)
-        label_tolerance = data.pop("label_tolerance", 0)
-        backup_tolerance = data.pop("backup_tolerance", None)
+        text = data['inputs'].pop("text", "")
+        label_tolerance = data['inputs'].pop("label_tolerance", 0)
+        backup_tolerance = data['inputs'].pop("backup_tolerance", None)
         
         # Return labeled results and backup results based on tolerances
         inputs = self.preprocess_text(text)