# 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 traceback from typing import Union from fastapi import APIRouter #from paddlespeech.server.engine.tts.python.tts_engine import TTSEngine from paddlespeech.server.engine.tts.paddleinference.tts_engine import TTSEngine from paddlespeech.server.restful.request import TTSRequest from paddlespeech.server.restful.response import ErrorResponse from paddlespeech.server.restful.response import TTSResponse from paddlespeech.server.utils.errors import ErrorCode from paddlespeech.server.utils.errors import failed_response from paddlespeech.server.utils.exception import ServerBaseException router = APIRouter() @router.get('/paddlespeech/tts/help') def help(): """help Returns: json: [description] """ response = { "success": "True", "code": 200, "message": { "global": "success" }, "result": { "description": "tts server", "text": "sentence to be synthesized", "audio": "the base64 of audio" } } return response @router.post( "/paddlespeech/tts", response_model=Union[TTSResponse, ErrorResponse]) def tts(request_body: TTSRequest): """tts api Args: request_body (TTSRequest): [description] Returns: json: [description] """ # json to dict item_dict = request_body.dict() sentence = item_dict['text'] spk_id = item_dict['spk_id'] speed = item_dict['speed'] volume = item_dict['volume'] sample_rate = item_dict['sample_rate'] save_path = item_dict['save_path'] # Check parameters if speed <=0 or speed > 3 or volume <=0 or volume > 3 or \ sample_rate not in [0, 16000, 8000] or \ (save_path is not None and save_path.endswith("pcm") == False and save_path.endswith("wav") == False): return failed_response(ErrorCode.SERVER_PARAM_ERR) # single tts_engine = TTSEngine() # run try: lang, target_sample_rate, wav_base64 = tts_engine.run( sentence, spk_id, speed, volume, sample_rate, save_path) response = { "success": True, "code": 200, "message": { "description": "success." }, "result": { "lang": lang, "spk_id": spk_id, "speed": speed, "volume": volume, "sample_rate": target_sample_rate, "save_path": save_path, "audio": wav_base64 } } except ServerBaseException as e: response = failed_response(e.error_code, e.msg) except: response = failed_response(ErrorCode.SERVER_UNKOWN_ERR) traceback.print_exc() return response