chore(format): run black on main (#501)

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

ChatTTS/core.py

@@ -407,7 +407,7 @@ class Chat:
             ):
                 wav = self._decode_to_wavs(result, length, use_decoder)
                 yield wav
-    
+
     def _vocos_decode(self, spec: torch.Tensor) -> np.ndarray:
         if "mps" in str(self.device):
             return self.vocos.decode(spec.cpu()).cpu().numpy()
@@ -460,13 +460,27 @@ class Chat:
             attn_sz = attention_mask_lst[-1].size(0)
             if attn_sz > max_attention_mask_len:
                 max_attention_mask_len = attn_sz
-        input_ids = torch.zeros(len(input_ids_lst), max_input_ids_len, device=device, dtype=input_ids_lst[0].dtype)
+        input_ids = torch.zeros(
+            len(input_ids_lst),
+            max_input_ids_len,
+            device=device,
+            dtype=input_ids_lst[0].dtype,
+        )
         for i in range(len(input_ids_lst)):
-            input_ids.narrow(0, i, 1).narrow(1, 0, input_ids_lst[i].size(0)).copy_(input_ids_lst[i])
+            input_ids.narrow(0, i, 1).narrow(1, 0, input_ids_lst[i].size(0)).copy_(
+                input_ids_lst[i]
+            )
         del_all(input_ids_lst)
-        attention_mask = torch.zeros(len(attention_mask_lst), max_attention_mask_len, device=device, dtype=attention_mask_lst[0].dtype)
+        attention_mask = torch.zeros(
+            len(attention_mask_lst),
+            max_attention_mask_len,
+            device=device,
+            dtype=attention_mask_lst[0].dtype,
+        )
         for i in range(len(attention_mask_lst)):
-            attention_mask.narrow(0, i, 1).narrow(1, 0, attention_mask_lst[i].size(0)).copy_(attention_mask_lst[i])
+            attention_mask.narrow(0, i, 1).narrow(
+                1, 0, attention_mask_lst[i].size(0)
+            ).copy_(attention_mask_lst[i])
         del_all(attention_mask_lst)
 
         text_mask = torch.ones(input_ids.shape, dtype=bool, device=device)

examples/cmd/run.py

@@ -35,16 +35,19 @@ def main(texts: List[str], spk: Optional[str] = None):
     else:
         logger.error("Models load failed.")
         sys.exit(1)
-    
+
     if spk is None:
         spk = chat.sample_random_speaker()
     logger.info("Use speaker:")
     print(spk)
 
     logger.info("Start inference.")
-    wavs = chat.infer(texts, params_infer_code=ChatTTS.Chat.InferCodeParams(
-        spk_emb=spk,
-    ))
+    wavs = chat.infer(
+        texts,
+        params_infer_code=ChatTTS.Chat.InferCodeParams(
+            spk_emb=spk,
+        ),
+    )
     logger.info("Inference completed.")
     # Save each generated wav file to a local file
     for index, wav in enumerate(wavs):
@@ -55,9 +58,15 @@ def main(texts: List[str], spk: Optional[str] = None):
 if __name__ == "__main__":
     logger.info("Starting ChatTTS commandline demo...")
     parser = argparse.ArgumentParser(
-        description="ChatTTS Command", usage='[--spk xxx] "Your text 1." " Your text 2."'
+        description="ChatTTS Command",
+        usage='[--spk xxx] "Your text 1." " Your text 2."',
+    )
+    parser.add_argument(
+        "--spk",
+        help="Speaker (empty to sample a random one)",
+        type=Optional[str],
+        default=None,
     )
-    parser.add_argument("--spk", help="Speaker (empty to sample a random one)", type=Optional[str], default=None)
     parser.add_argument(
         "texts", help="Original text", default="YOUR TEXT HERE", nargs="*"
     )