Update app.py

app.py

@@ -14,41 +14,3 @@ description = """
 </center>
 </p>
 """
-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 *
-##EDIT FOR CPU
-
-# Open the file and read it into a string
-with open("/home/user/.local/lib/python3.8/site-packages/torch/serialization.py") as f:
-    text = f.read()
-
-# Replace the original line with the new line
-text = text.replace("def load(f, map_location=None, pickle_module=pickle, **pickle_load_args):", "def load(f, map_location='cpu', pickle_module=pickle, **pickle_load_args):")
-# Save the modified string to the original file
-with open("/home/user/.local/lib/python3.8/site-packages/torch/serialization.py", "w") as f:
-    f.write(text)
-
-print("Replaced")
-with open("/home/user/.local/lib/python3.8/site-packages/torch/serialization.py") as f:
-    text = f.read()
-print(text)
-
-############
-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')