use automodel

cosyvoice/cli/frontend.py

@@ -122,6 +122,9 @@ class CosyVoiceFrontEnd:
         return speech_feat, speech_feat_len
 
     def text_normalize(self, text, split=True, text_frontend=True):
+        # NOTE skip text_frontend when ssml symbol in text
+        if '<|' in text and '|>' in text:
+            text_frontend = False
         if isinstance(text, Generator):
             logging.info('get tts_text generator, will skip text_normalize!')
             return [text]