You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
104 lines
3.1 KiB
104 lines
3.1 KiB
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
import argparse
|
|
import os
|
|
from typing import List
|
|
from typing import Optional
|
|
from typing import Union
|
|
|
|
import paddle
|
|
|
|
from ..executor import BaseExecutor
|
|
from ..utils import cli_register
|
|
|
|
__all__ = ['S2TExecutor']
|
|
|
|
|
|
@cli_register(
|
|
name='paddlespeech.s2t', description='Speech to text infer command.')
|
|
class S2TExecutor(BaseExecutor):
|
|
def __init__(self):
|
|
super(S2TExecutor, self).__init__()
|
|
|
|
self.parser = argparse.ArgumentParser(
|
|
prog='paddlespeech.s2t', add_help=True)
|
|
self.parser.add_argument(
|
|
'--config',
|
|
type=str,
|
|
default=None,
|
|
help='Config of s2t task. Use deault config when it is None.')
|
|
self.parser.add_argument(
|
|
'--input', type=str, help='Audio file to recognize.')
|
|
self.parser.add_argument(
|
|
'--device',
|
|
type=str,
|
|
default='cpu',
|
|
help='Choose device to execute model inference.')
|
|
|
|
def _get_default_cfg_path(self):
|
|
"""
|
|
Returns a default config file path of current task.
|
|
"""
|
|
pass
|
|
|
|
def _init_from_cfg(self, cfg_path: Optional[os.PathLike]=None):
|
|
"""
|
|
Init model from a specific config file.
|
|
"""
|
|
pass
|
|
|
|
def preprocess(self, input: Union[str, os.PathLike]):
|
|
"""
|
|
Input preprocess and return paddle.Tensor stored in self.input.
|
|
Input content can be a text(t2s), a file(s2t, cls) or a streaming(not supported yet).
|
|
"""
|
|
pass
|
|
|
|
@paddle.no_grad()
|
|
def infer(self):
|
|
"""
|
|
Model inference and result stored in self.output.
|
|
"""
|
|
pass
|
|
|
|
def postprocess(self) -> Union[str, os.PathLike]:
|
|
"""
|
|
Output postprocess and return human-readable results such as texts and audio files.
|
|
"""
|
|
pass
|
|
|
|
def execute(self, argv: List[str]) -> bool:
|
|
parser_args = self.parser.parse_args(argv)
|
|
print(parser_args)
|
|
|
|
config = parser_args.config
|
|
audio_file = parser_args.input
|
|
device = parser_args.device
|
|
|
|
if config is not None:
|
|
assert os.path.isfile(config), 'Config file is not valid.'
|
|
else:
|
|
config = self._get_default_cfg_path()
|
|
|
|
try:
|
|
self._init_from_cfg(config)
|
|
self.preprocess(audio_file)
|
|
self.infer()
|
|
res = self.postprocess() # Retrieve result of s2t.
|
|
print(res)
|
|
return True
|
|
except Exception as e:
|
|
print(e)
|
|
return False
|