Update custom_interface_app.py

custom_interface_app.py

@@ -161,8 +161,8 @@ class ASR(Pretrained):
 
                 # Pass the segment through the ASR model
                 result = " ".join(self.encode_batch_w2v2(device, batch, rel_length)[0])
-                outputs.append(result)
-            return outputs
+                # outputs.append(result)
+                yield result
         else:
             waveform = torch.tensor(waveform).to(device)
             waveform = waveform.to(device)
@@ -170,7 +170,7 @@ class ASR(Pretrained):
             batch = waveform.unsqueeze(0)
             rel_length = torch.tensor([1.0]).to(device)
             outputs = " ".join(self.encode_batch_w2v2(device, batch, rel_length)[0])
-            return [outputs]
+            yield [outputs]