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PaddleSpeech/paddlespeech/server/tests/tts/online/http_client.py

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# Copyright (c) 2021 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 argparse
import base64
import json
import os
import time
import requests
from paddlespeech.server.utils.audio_process import pcm2wav
def save_audio(buffer, audio_path) -> bool:
if args.save_path.endswith("pcm"):
with open(args.save_path, "wb") as f:
f.write(buffer)
elif args.save_path.endswith("wav"):
with open("./tmp.pcm", "wb") as f:
f.write(buffer)
pcm2wav("./tmp.pcm", audio_path, channels=1, bits=16, sample_rate=24000)
os.system("rm ./tmp.pcm")
else:
print("Only supports saved audio format is pcm or wav")
return False
return True
def test(args):
params = {
"text": args.text,
"spk_id": args.spk_id,
"speed": args.speed,
"volume": args.volume,
"sample_rate": args.sample_rate,
"save_path": ''
}
buffer = b''
flag = 1
url = "http://" + str(args.server) + ":" + str(
args.port) + "/paddlespeech/streaming/tts"
st = time.time()
html = requests.post(url, json.dumps(params), stream=True)
for chunk in html.iter_content(chunk_size=1024):
chunk = base64.b64decode(chunk) # bytes
if flag:
first_response = time.time() - st
print(f"首包响应:{first_response} s")
flag = 0
buffer += chunk
final_response = time.time() - st
duration = len(buffer) / 2.0 / 24000
print(f"尾包响应:{final_response} s")
print(f"音频时长:{duration} s")
print(f"RTF: {final_response / duration}")
if args.save_path is not None:
if save_audio(buffer, args.save_path):
print("音频保存至:", args.save_path)
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument(
'--text',
type=str,
default="您好,欢迎使用语音合成服务。",
help='A sentence to be synthesized')
parser.add_argument('--spk_id', type=int, default=0, help='Speaker id')
parser.add_argument('--speed', type=float, default=1.0, help='Audio speed')
parser.add_argument(
'--volume', type=float, default=1.0, help='Audio volume')
parser.add_argument(
'--sample_rate',
type=int,
default=0,
help='Sampling rate, the default is the same as the model')
parser.add_argument(
"--server", type=str, help="server ip", default="127.0.0.1")
parser.add_argument("--port", type=int, help="server port", default=8092)
parser.add_argument(
"--save_path", type=str, help="save audio path", default=None)
args = parser.parse_args()
test(args)