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104 lines
3.1 KiB
104 lines
3.1 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 base64
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import sys
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import traceback
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from typing import Union
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from fastapi import APIRouter
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from paddlespeech.cli.log import logger
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from paddlespeech.server.engine.engine_pool import get_engine_pool
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from paddlespeech.server.restful.request import ASRRequest
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from paddlespeech.server.restful.response import ASRResponse
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from paddlespeech.server.restful.response import ErrorResponse
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from paddlespeech.server.utils.errors import ErrorCode
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from paddlespeech.server.utils.errors import failed_response
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from paddlespeech.server.utils.exception import ServerBaseException
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router = APIRouter()
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@router.get('/paddlespeech/asr/help')
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def help():
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"""help
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Returns:
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json: [description]
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"""
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response = {
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"success": "True",
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"code": 200,
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"message": {
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"global": "success"
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},
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"result": {
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"description": "asr server",
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"input": "base64 string of wavfile",
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"output": "transcription"
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}
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}
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return response
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@router.post(
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"/paddlespeech/asr", response_model=Union[ASRResponse, ErrorResponse])
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def asr(request_body: ASRRequest):
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"""asr api
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Args:
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request_body (ASRRequest): [description]
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Returns:
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json: [description]
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"""
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try:
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audio_data = base64.b64decode(request_body.audio)
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# get single engine from engine pool
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engine_pool = get_engine_pool()
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asr_engine = engine_pool['asr']
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if asr_engine.engine_type == "python":
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from paddlespeech.server.engine.asr.python.asr_engine import PaddleASRConnectionHandler
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elif asr_engine.engine_type == "inference":
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from paddlespeech.server.engine.asr.paddleinference.asr_engine import PaddleASRConnectionHandler
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else:
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logger.error("Offline asr engine only support python or inference.")
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sys.exit(-1)
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connection_handler = PaddleASRConnectionHandler(asr_engine)
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connection_handler.run(audio_data)
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asr_results = connection_handler.postprocess()
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response = {
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"success": True,
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"code": 200,
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"message": {
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"description": "success"
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},
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"result": {
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"transcription": asr_results
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}
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}
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except ServerBaseException as e:
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response = failed_response(e.error_code, e.msg)
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except BaseException:
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response = failed_response(ErrorCode.SERVER_UNKOWN_ERR)
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traceback.print_exc()
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return response
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