mirror of
https://github.com/modelscope/FunASR
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90 lines
3.0 KiB
Python
90 lines
3.0 KiB
Python
import argparse
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from funasr.models.ctc import CTC
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from funasr.utils.get_default_kwargs import get_default_kwargs
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from funasr.utils.nested_dict_action import NestedDictAction
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from funasr.utils.types import int_or_none
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from funasr.utils.types import str2bool
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from funasr.utils.types import str_or_none
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def build_args(args):
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parser = argparse.ArgumentParser("Task related config")
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if args.task_name == "asr":
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from funasr.build_utils.build_asr_model import class_choices_list
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for class_choices in class_choices_list:
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class_choices.add_arguments(parser)
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parser.add_argument(
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"--split_with_space",
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type=str2bool,
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default=True,
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help="whether to split text using <space>",
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)
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parser.add_argument(
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"--seg_dict_file",
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type=str,
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default=None,
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help="seg_dict_file for text processing",
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)
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parser.add_argument(
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"--input_size",
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type=int_or_none,
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default=None,
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help="The number of input dimension of the feature",
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)
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parser.add_argument(
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"--ctc_conf",
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action=NestedDictAction,
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default=get_default_kwargs(CTC),
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help="The keyword arguments for CTC class.",
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)
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parser.add_argument(
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"--cmvn_file",
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type=str_or_none,
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default=None,
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help="The file path of noise scp file.",
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)
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elif args.task_name == "pretrain":
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from funasr.build_utils.build_pretrain_model import class_choices_list
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for class_choices in class_choices_list:
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class_choices.add_arguments(parser)
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parser.add_argument(
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"--input_size",
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type=int_or_none,
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default=None,
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help="The number of input dimension of the feature",
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)
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elif args.task_name == "lm":
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from funasr.build_utils.build_lm_model import class_choices_list
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for class_choices in class_choices_list:
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class_choices.add_arguments(parser)
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elif args.task_name == "punc":
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from funasr.build_utils.build_punc_model import class_choices_list
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for class_choices in class_choices_list:
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class_choices.add_arguments(parser)
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elif args.task_name == "vad":
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from funasr.build_utils.build_vad_model import class_choices_list
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for class_choices in class_choices_list:
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class_choices.add_arguments(parser)
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parser.add_argument(
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"--input_size",
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type=int_or_none,
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default=None,
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help="The number of input dimension of the feature",
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)
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elif args.task_name == "diar":
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from funasr.build_utils.build_diar_model import class_choices_list
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for class_choices in class_choices_list:
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class_choices.add_arguments(parser)
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else:
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raise NotImplementedError("Not supported task: {}".format(args.task_name))
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task_args = parser.parse_args()
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return task_args
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