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PaddleSpeech/paddlespeech/server/engine/engine_factory.py

51 lines
2.4 KiB

# 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.
from typing import Text
__all__ = ['EngineFactory']
class EngineFactory(object):
@staticmethod
def get_engine(engine_name: Text, engine_type: Text):
if engine_name == 'asr' and engine_type == 'inference':
from paddlespeech.server.engine.asr.paddleinference.asr_engine import ASREngine
return ASREngine()
elif engine_name == 'asr' and engine_type == 'python':
from paddlespeech.server.engine.asr.python.asr_engine import ASREngine
return ASREngine()
elif engine_name == 'asr' and engine_type == 'online':
from paddlespeech.server.engine.asr.online.asr_engine import ASREngine
return ASREngine()
elif engine_name == 'tts' and engine_type == 'inference':
from paddlespeech.server.engine.tts.paddleinference.tts_engine import TTSEngine
return TTSEngine()
elif engine_name == 'tts' and engine_type == 'python':
from paddlespeech.server.engine.tts.python.tts_engine import TTSEngine
return TTSEngine()
elif engine_name == 'tts' and engine_type == 'online':
from paddlespeech.server.engine.tts.online.python.tts_engine import TTSEngine
return TTSEngine()
elif engine_name == 'tts' and engine_type == 'online-onnx':
from paddlespeech.server.engine.tts.online.onnx.tts_engine import TTSEngine
return TTSEngine()
elif engine_name == 'cls' and engine_type == 'inference':
from paddlespeech.server.engine.cls.paddleinference.cls_engine import CLSEngine
return CLSEngine()
elif engine_name == 'cls' and engine_type == 'python':
from paddlespeech.server.engine.cls.python.cls_engine import CLSEngine
return CLSEngine()
else:
return None