Update modeling file issue no. 3

modeling_ser_whisper_ecapa.py

@@ -390,7 +390,7 @@ class SERWhisperECAPA(PreTrainedModel):
     @torch.no_grad()
     def forward(self, input_values=None, sampling_rate=None, input_features=None, attention_mask=None, **kwargs):
         device = self.device
-       if input_features is None:
+        if input_features is None:
             if input_values is None:
                 raise ValueError("Provide input_features.")
        #     if input_values.dim() == 1: