Files
sbv2-v2/server.py
2023-11-05 15:24:41 +08:00

130 lines
3.6 KiB
Python

from flask import Flask, request, Response
from io import BytesIO
import torch
from av import open as avopen
from typing import Dict, List
import utils
from infer import infer, get_net_g, latest_version
from scipy.io import wavfile
from config import config
# Flask Init
app = Flask(__name__)
app.config["JSON_AS_ASCII"] = False
def replace_punctuation(text, i=2):
punctuation = ",。?!"
for char in punctuation:
text = text.replace(char, char * i)
return text
def wav2(i, o, format):
inp = avopen(i, "rb")
out = avopen(o, "wb", format=format)
if format == "ogg":
format = "libvorbis"
ostream = out.add_stream(format)
for frame in inp.decode(audio=0):
for p in ostream.encode(frame):
out.mux(p)
for p in ostream.encode(None):
out.mux(p)
out.close()
inp.close()
net_g_List = []
hps_List = []
# 模型角色字典
# 使用方法 chr_name = chrsMap[model_id][chr_id]
chrsMap: List[Dict[int, str]] = list()
# 加载模型
models = config.server_config.models
for model in models:
hps_List.append(utils.get_hparams_from_file(model["config"]))
# 添加角色字典
chrsMap.append(dict())
for name, cid in hps_List[-1].data.spk2id.items():
chrsMap[-1][cid] = name
version = (
hps_List[-1].version if hasattr(hps_List[-1], "version") else latest_version
)
net_g_List.append(
get_net_g(
model_path=model["model"],
version=version,
device=model["device"],
hps=hps_List[-1],
)
)
@app.route("/")
def main():
try:
model = int(request.args.get("model"))
speaker = request.args.get("speaker", "") # 指定人物名
speaker_id = request.args.get("speaker_id", None) # 直接指定id
text = request.args.get("text").replace("/n", "")
sdp_ratio = float(request.args.get("sdp_ratio", 0.2))
noise = float(request.args.get("noise", 0.5))
noisew = float(request.args.get("noisew", 0.6))
length = float(request.args.get("length", 1.2))
language = request.args.get("language")
if length >= 2:
return "Too big length"
if len(text) >= 250:
return "Too long text"
fmt = request.args.get("format", "wav")
if None in (speaker, text):
return "Missing Parameter"
if fmt not in ("mp3", "wav", "ogg"):
return "Invalid Format"
if language not in ("JP", "ZH", "EN", "mix"):
return "Invalid language"
except:
return "Invalid Parameter"
if speaker_id is not None:
if speaker_id.isdigit():
speaker = chrsMap[model][int(speaker_id)]
with torch.no_grad():
audio = infer(
text=text,
sdp_ratio=sdp_ratio,
noise_scale=noise,
noise_scale_w=noisew,
length_scale=length,
sid=speaker,
language=models[model]["language"],
hps=hps_List[model],
net_g=net_g_List[model],
device=models[model]["device"],
)
with BytesIO() as wav:
wavfile.write(wav, hps_List[model].data.sampling_rate, audio)
torch.cuda.empty_cache()
if fmt == "wav":
return Response(wav.getvalue(), mimetype="audio/wav")
wav.seek(0, 0)
with BytesIO() as ofp:
wav2(wav, ofp, fmt)
return Response(
ofp.getvalue(), mimetype="audio/mpeg" if fmt == "mp3" else "audio/ogg"
)
if __name__ == "__main__":
app.run(port=config.server_config.port)