Update app.py

app.py

@@ -39,7 +39,7 @@ def create_vc_fn(tgt_sr, net_g, vc, if_f0, file_index, file_big_npy):
                 asyncio.run(edge_tts.Communicate(tts_text, "-".join(tts_voice.split('-')[:-1])).save("tts.mp3"))
                 audio, sr = librosa.load("tts.mp3", sr=16000, mono=True)
             else:
-                if args.colab:
+                if args.files:
                     audio, sr = librosa.load(input_audio, sr=16000, mono=True)
                 else:
                     if input_audio is None:
@@ -102,8 +102,8 @@ if __name__ == '__main__':
     parser = argparse.ArgumentParser()
     parser.add_argument('--api', action="store_true", default=False)
     parser.add_argument("--share", action="store_true", default=False, help="share gradio app")
-    parser.add_argument("--colab", action="store_true", default=False, help="load audio from path")
-    args = parser.parse_args()
+    parser.add_argument("--files", action="store_true", default=False, help="load audio from path")
+    args, unknown = parser.parse_known_args()
     load_hubert()
     models = []
     tts_voice_list = asyncio.get_event_loop().run_until_complete(edge_tts.list_voices())
@@ -158,7 +158,7 @@ if __name__ == '__main__':
                         )
                     with gr.Row():
                         with gr.Column():
-                            if args.colab:
+                            if args.files:
                                 vc_input = gr.Textbox(label="Input audio path")
                             else:
                                 vc_input = gr.Audio(label="Input audio"+' (less than 20 seconds)' if limitation else '')