add ms link

app.py

@@ -55,7 +55,8 @@ def get_args(parser: argparse.ArgumentParser):
         default=1.2,
         help="the temperature of the sampling operation",
     )
-    parser.add_argument("-seed", type=int, default=None, help="seed for randomstate")
+    parser.add_argument("-seed", type=int, default=None,
+                        help="seed for randomstate")
     parser.add_argument(
         "-show_control_code",
         type=bool,
@@ -149,9 +150,10 @@ def generate_music(
 
         else:
             prefix = patchilizer.decode(input_patches[0])
-            remaining_tokens = prompt[len(prefix) :]
+            remaining_tokens = prompt[len(prefix):]
             tokens = torch.tensor(
-                [patchilizer.bos_token_id] + [ord(c) for c in remaining_tokens],
+                [patchilizer.bos_token_id] +
+                [ord(c) for c in remaining_tokens],
                 device=DEVICE,
             )
 
@@ -222,7 +224,8 @@ def generate_music(
         tunes = tunes.replace(f"\nK:{K_val}\n", f"\nK:{K_val.split('m')[0]}\n")
 
     elif (mode == "minor") and (not "m" in K_val):
-        tunes = tunes.replace(f"\nK:{K_val}\n", f"\nK:{K_val.replace('dor', '')}min\n")
+        tunes = tunes.replace(
+            f"\nK:{K_val}\n", f"\nK:{K_val.replace('dor', '')}min\n")
 
     print("Generation time: {:.2f} seconds".format(time.time() - start_time))
     timestamp = time.strftime("%a_%d_%b_%Y_%H_%M_%S", time.localtime())
@@ -398,6 +401,8 @@ if __name__ == "__main__":
         shutil.rmtree("./flagged")
 
     with gr.Blocks() as demo:
+        gr.Markdown(
+            "## The current CPU-based version on HuggingFace has slow inference, you can access the GPU-based mirror on [ModelScope](https://www.modelscope.cn/studios/monetjoe/EMusicGen)")
         with gr.Row():
             with gr.Column():
                 dataset_option = gr.Dropdown(