diff --git a/VC_inference.py b/VC_inference.py
index 419a890..d76f883 100644
--- a/VC_inference.py
+++ b/VC_inference.py
@@ -12,7 +12,7 @@ import webbrowser
 device = "cuda:0" if torch.cuda.is_available() else "cpu"
 
 def create_vc_fn(model, hps, speaker_ids):
-    def vc_fn(original_speaker, target_speaker, record_audio, upload_audio, denoise):
+    def vc_fn(original_speaker, target_speaker, record_audio, upload_audio):
         input_audio = record_audio if record_audio is not None else upload_audio
         if input_audio is None:
             return "You need to record or upload an audio", None
@@ -28,13 +28,6 @@ def create_vc_fn(model, hps, speaker_ids):
         with no_grad():
             y = torch.FloatTensor(audio)
             y = y / max(-y.min(), y.max()) / 0.99
-            if denoise:
-                torchaudio.save("infer.wav", y.cpu(), 22050, channels_first=True)
-                os.system(f"demucs --two-stems=vocals infer.wav")
-                y, sr = torchaudio.load(f"./separated/htdemucs/infer/vocals.wav", frame_offset=0, num_frames=-1, normalize=True, channels_first=True)
-                y = y.mean(dim=0).unsqueeze(0)
-                if sr != 22050:
-                    y = torchaudio.transforms.Resample(orig_freq=sr, new_freq=22050)(y)
             y = y.to(device)
             spec = spectrogram_torch(y, hps.data.filter_length,
                                      hps.data.sampling_rate, hps.data.hop_length, hps.data.win_length,
@@ -80,12 +73,11 @@ if __name__ == "__main__":
             upload_audio = gr.Audio(label="or upload audio here", source="upload")
             source_speaker = gr.Dropdown(choices=speakers, value="User", label="source speaker")
             target_speaker = gr.Dropdown(choices=speakers, value=speakers[0], label="target speaker")
-            denoise_checkbox = gr.Checkbox(label="denoise using demucs", value=False)
         with gr.Column():
             message_box = gr.Textbox(label="Message")
             converted_audio = gr.Audio(label='converted audio')
         btn = gr.Button("Convert!")
-        btn.click(vc_fn, inputs=[source_speaker, target_speaker, record_audio, upload_audio, denoise_checkbox],
+        btn.click(vc_fn, inputs=[source_speaker, target_speaker, record_audio, upload_audio],
                   outputs=[message_box, converted_audio])
     webbrowser.open("http://127.0.0.1:7860")
     app.launch(share=args.share)