Update sentpipeline.py

sentpipeline.py

@@ -21,14 +21,9 @@ class SentimentModelPipe(Pipeline):
         return self.smodel.encode(inputs, convert_to_tensor=True)
 
     def postprocess(self, outputs):
-        if isinstance(outputs, torch.Tensor):
-            outputs = [outputs]
         results = []
-        for out in outputs:
-            r = []
-            for i, l in enumerate(out):
-                r.append({"label": self.class_map[i], "score": l.item()})
-            results.append(r)
+        for i, l in enumerate(outputs):
+            results.append({"label": self.class_map[i], "score": l.item()})
         return results
 
     def _forward(self, tensor):