TianYuan
3 years ago
committed by
GitHub
commit
3275dba131
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# 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 argparse
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import warnings
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import uvicorn
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from fastapi import FastAPI
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from starlette.middleware.cors import CORSMiddleware
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from paddlespeech.server.engine.engine_pool import init_engine_pool
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from paddlespeech.server.restful.api import setup_router as setup_http_router
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from paddlespeech.server.utils.config import get_config
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from paddlespeech.server.ws.api import setup_router as setup_ws_router
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warnings.filterwarnings("ignore")
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import sys
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app = FastAPI(
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title="PaddleSpeech Serving API", description="Api", version="0.0.1")
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"])
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# change yaml file here
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config_file = "./conf/application.yaml"
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config = get_config(config_file)
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# init engine
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if not init_engine_pool(config):
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print("Failed to init engine.")
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sys.exit(-1)
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# get api_router
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api_list = list(engine.split("_")[0] for engine in config.engine_list)
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if config.protocol == "websocket":
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api_router = setup_ws_router(api_list)
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elif config.protocol == "http":
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api_router = setup_http_router(api_list)
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else:
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raise Exception("unsupported protocol")
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sys.exit(-1)
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# app needs to operate outside the main function
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app.include_router(api_router)
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(add_help=True)
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parser.add_argument(
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"--workers", type=int, help="workers of server", default=1)
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args = parser.parse_args()
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uvicorn.run(
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"start_multi_progress_server:app",
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host=config.host,
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port=config.port,
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debug=True,
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workers=args.workers)
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@ -0,0 +1,75 @@
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# 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 time
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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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def warm_up(engine_and_type: str, warm_up_time: int=3) -> bool:
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engine_pool = get_engine_pool()
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if "tts" in engine_and_type:
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tts_engine = engine_pool['tts']
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flag_online = False
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if tts_engine.lang == 'zh':
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sentence = "您好，欢迎使用语音合成服务。"
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elif tts_engine.lang == 'en':
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sentence = "Hello and welcome to the speech synthesis service."
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else:
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logger.error("tts engine only support lang: zh or en.")
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sys.exit(-1)
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if engine_and_type == "tts_python":
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from paddlespeech.server.engine.tts.python.tts_engine import PaddleTTSConnectionHandler
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elif engine_and_type == "tts_inference":
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from paddlespeech.server.engine.tts.paddleinference.tts_engine import PaddleTTSConnectionHandler
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elif engine_and_type == "tts_online":
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from paddlespeech.server.engine.tts.online.python.tts_engine import PaddleTTSConnectionHandler
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flag_online = True
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elif engine_and_type == "tts_online-onnx":
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from paddlespeech.server.engine.tts.online.onnx.tts_engine import PaddleTTSConnectionHandler
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flag_online = True
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else:
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logger.error("Please check tte engine type.")
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try:
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logger.info("Start to warm up tts engine.")
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for i in range(warm_up_time):
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connection_handler = PaddleTTSConnectionHandler(tts_engine)
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if flag_online:
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for wav in connection_handler.infer(
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text=sentence,
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lang=tts_engine.lang,
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am=tts_engine.config.am):
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logger.info(
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f"The first response time of the {i} warm up: {connection_handler.first_response_time} s"
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)
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break
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else:
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st = time.time()
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connection_handler.infer(text=sentence)
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et = time.time()
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logger.info(
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f"The response time of the {i} warm up: {et - st} s")
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except Exception as e:
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logger.error("Failed to warm up on tts engine.")
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logger.error(e)
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return False
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else:
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pass
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return True
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