app.py

from utils.hparams import hparams
from preprocessing.data_gen_utils import get_pitch_parselmouth,get_pitch_crepe
import numpy as np
import matplotlib.pyplot as plt
import IPython.display as ipd
import utils
import librosa
import torchcrepe
from infer import *
import logging
from infer_tools.infer_tool import *

logging.getLogger('numba').setLevel(logging.WARNING)

# 工程文件夹名，训练时用的那个
project_name = "Unnamed"
model_path = f'./checkpoints/Unnamed/model_ckpt_steps_192000.ckpt'
config_path=f'./checkpoints/Unnamed/config.yaml'
hubert_gpu=False
svc_model = Svc(project_name,config_path,hubert_gpu, model_path)
print('model loaded')