update readme

README.md

@@ -137,11 +137,10 @@ with torch.no_grad():
         )
 
         for message in processor.decode(outputs):
-            for seg_idx, audio in enumerate(message.audio_codes_list):
-                # audio is a waveform tensor after decode_audio_codes
-                out_path = save_dir / f"sample{sample_idx}_seg{seg_idx}.wav"
-                sample_idx += 1
-                torchaudio.save(out_path, audio.unsqueeze(0), processor.model_config.sampling_rate)
+            audio = message.audio_codes_list[0]
+            out_path = save_dir / f"sample{sample_idx}.wav"
+            sample_idx += 1
+            torchaudio.save(out_path, audio.unsqueeze(0), processor.model_config.sampling_rate)
 
 ```