LiveTalking 打开数字人页面，一直黑屏，显示在加载当中

C:\Users\A1835\AppData\Roaming\Python\Python311\site-packages\huggingface_hub\file_download.py:1150: FutureWarning: resume_download is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use force_download=True.
warnings.warn( C:\Users\A1835\AppData\Roaming\Python\Python311\site-packages\transformers\configuration_utils.py:380: UserWarning: Passing gradient_checkpointin g to a config initialization is deprecated and will be removed in v5 Transformers. Using model.gradient_checkpointing_enable() instead, or if you are using the Trainer API, pass gradient_checkpointing=True in your TrainingArguments. warnings.warn( Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained. C:\Users\A1835\AppData\Roaming\Python\Python311\site-packages\transformers\modeling_utils.py:446: FutureWarning: You are using torch.load with weights_only=False (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle dat a which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more deta ils). In a future release, the default value for weights_only will be flipped to True. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via torch. serialization.add_safe_globals. We recommend you start setting weights_only=True for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. return torch.load(checkpoint_file, map_location="cpu") D:\anaconda\Lib\site-packages\torch\nn\utils\weight_norm.py:134: FutureWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm. WeightNorm.apply(module, name, dim) [INFO] warm up ASR live model, expected latency = 0.560000s [INFO] warm-up done, actual latency = 0.184837s Connection state is connecting Connection state is failed Connection state is closed