Update README.md

README.md

@@ -48,7 +48,7 @@ wav_tensor = torch.from_numpy(wav).float().unsqueeze(0)
 with torch.no_grad():
    # only 16khz speech 
     vq_code = model.encode_code(input_waveform=wav_tensor)
-    print("Code:", vq_code )   
+    print("Code:", vq_code )  
 
     recon_wav = model.decode_code(vq_code).cpu()
 
@@ -57,4 +57,4 @@ sf.write("reconstructed.wav", recon_wav[0, 0, :].numpy(), sr)
 print("Done! Check reconstructed.wav")
 ```
 
-**If you want to train your own xcodec2 or require large-scale code extraction, the code is released [here](https://github.com/zhenye234/X-Codec-2.0).**
+**If you want to train your own xcodec2, batch inference, or large-scale code extraction, the code is released [here](https://github.com/zhenye234/X-Codec-2.0).**