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PaddleSpeech/paddlespeech/server/engine/asr/python/asr_engine.py

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# Copyright (c) 2022 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 io
import time
import paddle
from paddlespeech.cli.asr.infer import ASRExecutor
from paddlespeech.cli.log import logger
from paddlespeech.server.engine.base_engine import BaseEngine
__all__ = ['ASREngine']
class ASRServerExecutor(ASRExecutor):
def __init__(self):
super().__init__()
pass
class ASREngine(BaseEngine):
"""ASR server engine
Args:
metaclass: Defaults to Singleton.
"""
def __init__(self):
super(ASREngine, self).__init__()
def init(self, config: dict) -> bool:
"""init engine resource
Args:
config_file (str): config file
Returns:
bool: init failed or success
"""
self.input = None
self.output = None
self.executor = ASRServerExecutor()
self.config = config
try:
if self.config.device:
self.device = self.config.device
else:
self.device = paddle.get_device()
paddle.set_device(self.device)
except BaseException:
logger.error(
"Set device failed, please check if device is already used and the parameter 'device' in the yaml file"
)
self.executor._init_from_path(
self.config.model, self.config.lang, self.config.sample_rate,
self.config.cfg_path, self.config.decode_method,
self.config.ckpt_path)
logger.info("Initialize ASR server engine successfully on device: %s." %
(self.device))
return True
def run(self, audio_data):
"""engine run
Args:
audio_data (bytes): base64.b64decode
"""
if self.executor._check(
io.BytesIO(audio_data), self.config.sample_rate,
self.config.force_yes):
logger.info("start run asr engine")
self.executor.preprocess(self.config.model, io.BytesIO(audio_data))
st = time.time()
self.executor.infer(self.config.model)
infer_time = time.time() - st
self.output = self.executor.postprocess() # Retrieve result of asr.
else:
logger.info("file check failed!")
self.output = None
logger.info("inference time: {}".format(infer_time))
logger.info("asr engine type: python")
def postprocess(self):
"""postprocess
"""
return self.output