zhifu gao
2024-03-11 0d9384c8c0161259192cc3d676ca0d60e0d18e5c
runtime/python/onnxruntime/funasr_onnx/punc_bin.py
@@ -56,9 +56,9 @@
                      "\npip3 install -U funasr -i https://mirror.sjtu.edu.cn/pypi/web/simple"
            model = AutoModel(model=model_dir)
            model_dir = model.export(type="onnx", quantize=quantize)
            model_dir = model.export(quantize=quantize)
            
        config_file = os.path.join(model_dir, 'punc.yaml')
        config_file = os.path.join(model_dir, 'confi.yaml')
        config = read_yaml(config_file)
        token_list = os.path.join(model_dir, 'tokens.json')
        with open(token_list, 'r', encoding='utf-8') as f:
@@ -67,7 +67,7 @@
        self.converter = TokenIDConverter(token_list)
        self.ort_infer = OrtInferSession(model_file, device_id, intra_op_num_threads=intra_op_num_threads)
        self.batch_size = 1
        self.punc_list = config['punc_list']
        self.punc_list = config["model_conf"]['punc_list']
        self.period = 0
        for i in range(len(self.punc_list)):
            if self.punc_list[i] == ",":
@@ -76,9 +76,9 @@
                self.punc_list[i] = "?"
            elif self.punc_list[i] == "。":
                self.period = i
        if "seg_jieba" in config:
            self.seg_jieba = True
            self.jieba_usr_dict_path = os.path.join(model_dir, 'jieba_usr_dict')
        if os.path.exists(self.jieba_usr_dict_path):
            self.seg_jieba = True
            self.code_mix_split_words_jieba = code_mix_split_words_jieba(self.jieba_usr_dict_path)
        else:
            self.seg_jieba = False
@@ -175,7 +175,7 @@
                 intra_op_num_threads: int = 4,
                 cache_dir: str = None
                 ):
        super(CT_Transformer_VadRealtime, self).__init__(model_dir, batch_size, device_id, quantize, intra_op_num_threads, cache_dir=cache_dir)
        super().__init__(model_dir, batch_size, device_id, quantize, intra_op_num_threads, cache_dir=cache_dir)
    def __call__(self, text: str, param_dict: map, split_size=20):
        cache_key = "cache"