fix mps in gui-v1.py (#769)

* Fix mps on realtime

* Added back repeat chs

gui_v1.py

@@ -1,5 +1,8 @@
 import os, sys
 
+if sys.platform == "darwin":
+    os.environ["PYTORCH_ENABLE_MPS_FALLBACK"] = "1"
+
 now_dir = os.getcwd()
 sys.path.append(now_dir)
 import multiprocessing
@@ -45,7 +48,7 @@ if __name__ == "__main__":
     from i18n import I18nAuto
 
     i18n = I18nAuto()
-    device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+    device = torch.device("cuda" if torch.cuda.is_available() else ("mps" if torch.backends.mps.is_available() else "cpu"))
     current_dir = os.getcwd()
     inp_q = Queue()
     opt_q = Queue()
@@ -441,8 +444,9 @@ if __name__ == "__main__":
             """
             接受音频输入
             """
+            channels = 1 if sys.platform == "darwin" else 2
             with sd.Stream(
-                channels=2,
+                channels=channels,
                 callback=self.audio_callback,
                 blocksize=self.block_frame,
                 samplerate=self.config.samplerate,
@@ -524,6 +528,9 @@ if __name__ == "__main__":
                 )
                 + 1e-8
             )
+            if sys.platform == "darwin":
+                cor_nom = cor_nom.cpu()
+                cor_den = cor_den.cpu()
             sola_offset = torch.argmax(cor_nom[0, 0] / cor_den[0, 0])
             print("sola offset: " + str(int(sola_offset)))
             self.output_wav[:] = infer_wav[sola_offset : sola_offset + self.block_frame]
@@ -545,14 +552,23 @@ if __name__ == "__main__":
                     infer_wav[-self.crossfade_frame :] * self.fade_out_window
                 )
             if self.config.O_noise_reduce:
-                outdata[:] = np.tile(
-                    nr.reduce_noise(
+                if sys.platform == "darwin":
+                    noise_reduced_signal = nr.reduce_noise(
                         y=self.output_wav[:].cpu().numpy(), sr=self.config.samplerate
-                    ),
-                    (2, 1),
-                ).T
+                    )
+                    outdata[:] = noise_reduced_signal[:, np.newaxis]
+                else:
+                    outdata[:] = np.tile(
+                        nr.reduce_noise(
+                            y=self.output_wav[:].cpu().numpy(), sr=self.config.samplerate
+                        ),
+                        (2, 1),
+                    ).T
             else:
-                outdata[:] = self.output_wav[:].repeat(2, 1).t().cpu().numpy()
+                if sys.platform == "darwin":
+                    outdata[:] = self.output_wav[:].cpu().numpy()[:, np.newaxis]
+                else:
+                    outdata[:] = self.output_wav[:].repeat(2, 1).t().cpu().numpy()
             total_time = time.perf_counter() - start_time
             self.window["infer_time"].update(int(total_time * 1000))
             print("infer time:" + str(total_time))