Update model.py

The torch.tensor() function does not have a dim parameter

cosyvoice/cli/model.py

@@ -230,7 +230,7 @@ class CosyVoiceModel:
                 if self.llm_end_dict[this_uuid] is True and len(self.tts_speech_token_dict[this_uuid]) < token_hop_len + self.token_overlap_len:
                     break
             # deal with remain tokens, make sure inference remain token len equals token_hop_len when cache_speech is not None
-            this_tts_speech_token = torch.tensor(self.tts_speech_token_dict[this_uuid], dim=1).unsqueeze(dim=0)
+            this_tts_speech_token = torch.tensor(self.tts_speech_token_dict[this_uuid]).unsqueeze(dim=0)
             this_tts_speech = self.token2wav(token=this_tts_speech_token,
                                              prompt_token=flow_prompt_speech_token,
                                              prompt_feat=prompt_speech_feat,