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96 lines
2.9 KiB
96 lines
2.9 KiB
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import io
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import os
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from typing import List
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from typing import Optional
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from typing import Union
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import librosa
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import paddle
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import soundfile
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from paddlespeech.cli.asr.infer import ASRExecutor
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from paddlespeech.cli.log import logger
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from paddlespeech.s2t.frontend.featurizer.text_featurizer import TextFeaturizer
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from paddlespeech.s2t.transform.transformation import Transformation
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from paddlespeech.s2t.utils.dynamic_import import dynamic_import
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from paddlespeech.s2t.utils.utility import UpdateConfig
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from paddlespeech.server.engine.base_engine import BaseEngine
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from paddlespeech.server.utils.config import get_config
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__all__ = ['ASREngine']
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class ASRServerExecutor(ASRExecutor):
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def __init__(self):
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super().__init__()
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pass
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class ASREngine(BaseEngine):
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"""ASR server engine
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Args:
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metaclass: Defaults to Singleton.
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"""
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def __init__(self):
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super(ASREngine, self).__init__()
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def init(self, config_file: str) -> bool:
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"""init engine resource
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Args:
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config_file (str): config file
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Returns:
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bool: init failed or success
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"""
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self.input = None
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self.output = None
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self.executor = ASRServerExecutor()
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self.config = get_config(config_file)
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paddle.set_device(paddle.get_device())
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self.executor._init_from_path(
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self.config.model, self.config.lang, self.config.sample_rate,
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self.config.cfg_path, self.config.decode_method,
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self.config.ckpt_path)
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logger.info("Initialize ASR server engine successfully.")
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return True
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def run(self, audio_data):
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"""engine run
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Args:
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audio_data (bytes): base64.b64decode
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"""
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if self.executor._check(
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io.BytesIO(audio_data), self.config.sample_rate,
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self.config.force_yes):
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logger.info("start run asr engine")
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self.executor.preprocess(self.config.model, io.BytesIO(audio_data))
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self.executor.infer(self.config.model)
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self.output = self.executor.postprocess() # Retrieve result of asr.
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else:
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logger.info("file check failed!")
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self.output = None
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def postprocess(self):
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"""postprocess
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"""
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return self.output
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