Ftps
77 lines
1.9 KiB
Python
77 lines
1.9 KiB
Python
import json
|
|
from io import BytesIO
|
|
from pathlib import Path
|
|
|
|
from fastapi import APIRouter, Response, UploadFile, Body, responses, Form, Query
|
|
from fastapi.responses import JSONResponse
|
|
|
|
from pydantic import BaseModel
|
|
from scipy.io import wavfile
|
|
from base64 import b64encode
|
|
from rvc.modules.vc.modules import VC
|
|
import glob
|
|
import os
|
|
|
|
router = APIRouter()
|
|
from dotenv import load_dotenv
|
|
|
|
load_dotenv()
|
|
|
|
|
|
@router.post("/inference")
|
|
def inference(
|
|
input_audio: Path | UploadFile,
|
|
modelpath: Path
|
|
| UploadFile = Body(
|
|
...,
|
|
enum=[
|
|
os.path.basename(file)
|
|
for file in glob.glob(f"{os.getenv('weight_root')}/*")
|
|
],
|
|
),
|
|
res_type: str = Query("blob", enum=["blob", "json"]),
|
|
sid: int = 0,
|
|
f0_up_key: int = 0,
|
|
f0_method: str = Query(
|
|
"rmvpe", enum=["pm", "harvest", "dio", "rmvpe", "rmvpe_gpu"]
|
|
),
|
|
f0_file: Path | None = None,
|
|
index_file: Path | None = None,
|
|
index_rate: float = 0.75,
|
|
filter_radius: int = 3,
|
|
resample_sr: int = 0,
|
|
rms_mix_rate: float = 0.25,
|
|
protect: float = 0.33,
|
|
):
|
|
print(res_type)
|
|
vc = VC()
|
|
vc.get_vc(modelpath)
|
|
tgt_sr, audio_opt, times, _ = vc.vc_inference(
|
|
sid,
|
|
input_audio,
|
|
f0_up_key,
|
|
f0_method,
|
|
f0_file,
|
|
index_file,
|
|
index_rate,
|
|
filter_radius,
|
|
resample_sr,
|
|
rms_mix_rate,
|
|
protect,
|
|
)
|
|
wavfile.write(wv := BytesIO(), tgt_sr, audio_opt)
|
|
print(times)
|
|
if res_type == "blob":
|
|
return responses.StreamingResponse(
|
|
wv,
|
|
media_type="audio/wav",
|
|
headers={"Content-Disposition": "attachment; filename=inference.wav"},
|
|
)
|
|
else:
|
|
return JSONResponse(
|
|
{
|
|
"time": json.loads(json.dumps(times)),
|
|
"audio": b64encode(wv.read()).decode("utf-8"),
|
|
}
|
|
)
|