fix instruct2 bug

cosyvoice/cli/cosyvoice.py

@@ -177,10 +177,10 @@ class CosyVoice2(CosyVoice):
     def inference_instruct(self, *args, **kwargs):
         raise NotImplementedError('inference_instruct is not implemented for CosyVoice2!')
 
-    def inference_instruct2(self, tts_text, instruct_text, prompt_speech_16k, stream=False, speed=1.0, text_frontend=True):
+    def inference_instruct2(self, tts_text, instruct_text, prompt_speech_16k, zero_shot_spk_id='', stream=False, speed=1.0, text_frontend=True):
         assert isinstance(self.model, CosyVoice2Model), 'inference_instruct2 is only implemented for CosyVoice2!'
         for i in tqdm(self.frontend.text_normalize(tts_text, split=True, text_frontend=text_frontend)):
-            model_input = self.frontend.frontend_instruct2(i, instruct_text, prompt_speech_16k, self.sample_rate)
+            model_input = self.frontend.frontend_instruct2(i, instruct_text, prompt_speech_16k, self.sample_rate, zero_shot_spk_id)
             start_time = time.time()
             logging.info('synthesis text {}'.format(i))
             for model_output in self.model.tts(**model_input, stream=stream, speed=speed):

cosyvoice/cli/frontend.py

@@ -196,8 +196,8 @@ class CosyVoiceFrontEnd:
         model_input['prompt_text_len'] = instruct_text_token_len
         return model_input
 
-    def frontend_instruct2(self, tts_text, instruct_text, prompt_speech_16k, resample_rate):
-        model_input = self.frontend_zero_shot(tts_text, instruct_text + '<|endofprompt|>', prompt_speech_16k, resample_rate)
+    def frontend_instruct2(self, tts_text, instruct_text, prompt_speech_16k, resample_rate, zero_shot_spk_id):
+        model_input = self.frontend_zero_shot(tts_text, instruct_text + '<|endofprompt|>', prompt_speech_16k, resample_rate, zero_shot_spk_id)
         del model_input['llm_prompt_speech_token']
         del model_input['llm_prompt_speech_token_len']
         return model_input