update fastapi

This commit is contained in:
lyuxiang.lx
2024-09-05 14:09:40 +08:00
parent 2ce724045b
commit 7555afb90a
6 changed files with 131 additions and 148 deletions

View File

@@ -1,56 +1,68 @@
# Copyright (c) 2024 Alibaba Inc (authors: Xiang Lyu)
#
# 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 logging
import requests
import torch
import torchaudio
import numpy as np
def saveResponse(path, response):
# 以二进制写入模式打开文件
with open(path, 'wb') as file:
# 将响应的二进制内容写入文件
file.write(response.content)
def main():
api = args.api_base
url = "http://{}:{}/inference_{}".format(args.host, args.port, args.mode)
if args.mode == 'sft':
url = api + "/api/inference/sft"
payload={
'tts': args.tts_text,
'role': args.spk_id
}
response = requests.request("POST", url, data=payload)
saveResponse(args.tts_wav, response)
elif args.mode == 'zero_shot':
url = api + "/api/inference/zero-shot"
payload={
'tts': args.tts_text,
'prompt': args.prompt_text
}
files=[('audio', ('prompt_audio.wav', open(args.prompt_wav,'rb'), 'application/octet-stream'))]
response = requests.request("POST", url, data=payload, files=files)
saveResponse(args.tts_wav, response)
elif args.mode == 'cross_lingual':
url = api + "/api/inference/cross-lingual"
payload={
'tts': args.tts_text,
}
files=[('audio', ('prompt_audio.wav', open(args.prompt_wav,'rb'), 'application/octet-stream'))]
response = requests.request("POST", url, data=payload, files=files)
saveResponse(args.tts_wav, response)
else:
url = api + "/api/inference/instruct"
payload = {
'tts': args.tts_text,
'role': args.spk_id,
'instruct': args.instruct_text
'tts_text': args.tts_text,
'spk_id': args.spk_id
}
response = requests.request("POST", url, data=payload)
saveResponse(args.tts_wav, response)
logging.info("Response save to {}", args.tts_wav)
response = requests.request("GET", url, data=payload, stream=True)
elif args.mode == 'zero_shot':
payload = {
'tts_text': args.tts_text,
'prompt_text': args.prompt_text
}
files = [('prompt_wav', ('prompt_wav', open(args.prompt_wav, 'rb'), 'application/octet-stream'))]
response = requests.request("GET", url, data=payload, files=files, stream=True)
elif args.mode == 'cross_lingual':
payload = {
'tts_text': args.tts_text,
}
files = [('prompt_wav', ('prompt_wav', open(args.prompt_wav,'rb'), 'application/octet-stream'))]
response = requests.request("GET", url, data=payload, files=files, stream=True)
else:
payload = {
'tts_text': args.tts_text,
'spk_id': args.spk_id,
'instruct_text': args.instruct_text
}
response = requests.request("GET", url, data=payload, stream=True)
tts_audio = b''
for r in response.iter_content(chunk_size=16000):
tts_audio += r
tts_speech = torch.from_numpy(np.array(np.frombuffer(tts_audio, dtype=np.int16))).unsqueeze(dim=0)
logging.info('save response to {}'.format(args.tts_wav))
torchaudio.save(args.tts_wav, tts_speech, target_sr)
logging.info('get response')
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument('--api_base',
parser.add_argument('--host',
type=str,
default='http://127.0.0.1:6006')
default='0.0.0.0')
parser.add_argument('--port',
type=int,
default='50000')
parser.add_argument('--mode',
default='sft',
choices=['sft', 'zero_shot', 'cross_lingual', 'instruct'],