Update modeling_moonshine.py

modeling_moonshine.py

@@ -447,7 +447,7 @@ class MoonshineModelTorch(nn.Module):
         sample = logits[:, -1].argmax(dim=-1, keepdim=True)
         seq = torch.cat((seq, sample), dim=-1)
 
-        seq_len = int(src.shape[-1] * 5 / 16000 + 1)
+        seq_len = int(src.shape[-1] * 6.5 / 16000)
         while sample != eot_token and len(seq.flatten()) <= seq_len:
             vals = self.decoder(
                 seq,