部署GPTSoVITS过程中，开启一键三连进程发生，报错'AsyncRequest' object has no attribute '_json_response_data'
具体报错内容为
(GPTSoVITS) PS D:\Code\GPT-SoVITS-beta0706> python webui.py
Running on local URL: http://0.0.0.0:9874
IMPORTANT: You are using gradio version 3.38.0, however version 4.44.1 is available, please upgrade.
--------
"D:\ProgramData\anaconda3\envs\GPTSoVITS\python.exe" GPT_SoVITS/prepare_datasets/1-get-text.py
"D:\ProgramData\anaconda3\envs\GPTSoVITS\python.exe" GPT_SoVITS/prepare_datasets/1-get-text.py
'AsyncRequest' object has no attribute '_json_response_data'
D:\ProgramData\anaconda3\envs\GPTSoVITS\lib\site-packages\torch\_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
return self.fget.__get__(instance, owner)()
D:\ProgramData\anaconda3\envs\GPTSoVITS\lib\site-packages\torch\_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
return self.fget.__get__(instance, owner)()
BertForMaskedLM has generative capabilities, as `prepare_inputs_for_generation` is explicitly overwritten. However, it doesn't directly inherit from `GenerationMixin`. From 👉v4.50👈 onwards, `PreTrainedModel` will NOT inherit from `GenerationMixin`, and this model will lose the ability to call `generate` and other related functions.
- If you're using `trust_remote_code=True`, you can get rid of this warning by loading the model with an auto class. See https://huggingface.co/docs/transformers/en/model_doc/auto#auto-classes
- If you are the owner of the model architecture code, please modify your model class such that it inherits from `GenerationMixin` (after `PreTrainedModel`, otherwise you'll get an exception).
- If you are not the owner of the model architecture class, please contact the model code owner to update it.
BertForMaskedLM has generative capabilities, as `prepare_inputs_for_generation` is explicitly overwritten. However, it doesn't directly inherit from `GenerationMixin`. From 👉v4.50👈 onwards, `PreTrainedModel` will NOT inherit from `GenerationMixin`, and this model will lose the ability to call `generate` and other related functions.
- If you're using `trust_remote_code=True`, you can get rid of this warning by loading the model with an auto class. See https://huggingface.co/docs/transformers/en/model_doc/auto#auto-classes
- If you are the owner of the model architecture code, please modify your model class such that it inherits from `GenerationMixin` (after `PreTrainedModel`, otherwise you'll get an exception).
- If you are not the owner of the model architecture class, please contact the model code owner to update it.
Building prefix dict from the default dictionary ...
Loading model from cache D:\Code\GPT-SoVITS-beta0706\TEMP\jieba.cache
Building prefix dict from the default dictionary ...
Loading model from cache D:\Code\GPT-SoVITS-beta0706\TEMP\jieba.cache
Loading model cost 0.521 seconds.
Prefix dict has been built succesfully.
Loading model cost 0.512 seconds.
Prefix dict has been built succesfully.
"D:\ProgramData\anaconda3\envs\GPTSoVITS\python.exe" GPT_SoVITS/s2_train.py --config "D:\Code\GPT-SoVITS-beta0706\TEMP/tmp_s2.json"
'AsyncRequest' object has no attribute '_json_response_data'
INFO:test:{'train': {'log_interval': 100, 'eval_interval': 500, 'seed': 1234, 'epochs': 8, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 3, 'fp16_run': True, 'lr_decay': 0.999875, 'segment_size': 20480,
'init_lr_ratio': 1, 'warmup_epochs': 0, 'c_mel': 45, 'c_kl': 1.0, 'text_low_lr_rate': 0.4, 'pretrained_s2G': 'GPT_SoVITS/pretrained_models/s2G488k.pth', 'pretrained_s2D': 'GPT_SoVITS/pretrained_models/s2D488k.pth', 'if_save_latest':
True, 'if_save_every_weights': True, 'save_every_epoch': 4, 'gpu_numbers': '0'}, 'data': {'max_wav_value': 32768.0, 'sampling_rate': 32000, 'filter_length': 2048, 'hop_length': 640, 'win_length': 2048, 'n_mel_channels': 128, 'mel_f
min': 0.0, 'mel_fmax': None, 'add_blank': True, 'n_speakers': 300, 'cleaned_text': True, 'exp_dir': 'logs/test'}, 'model': {'inter_channels': 192, 'hidden_channels': 192, 'filter_channels': 768, 'n_heads': 2, 'n_layers': 6, 'kernel_
size': 3, 'p_dropout': 0.1, 'resblock': '1', 'resblock_kernel_sizes': [3, 7, 11], 'resblock_dilation_sizes': [[1, 3, 5], [1, 3, 5], [1, 3, 5]], 'upsample_rates': [10, 8, 2, 2, 2], 'upsample_initial_channel': 512, 'upsample_kernel_si
zes': [16, 16, 8, 2, 2], 'n_layers_q': 3, 'use_spectral_norm': False, 'gin_channels': 512, 'semantic_frame_rate': '25hz', 'freeze_quantizer': True}, 's2_ckpt_dir': 'logs/test', 'content_module': 'cnhubert', 'save_weight_dir': 'SoVITS_weights', 'name': 'test', 'pretrain': None, 'resume_step': None}
Traceback (most recent call last):
File "D:\Code\GPT-SoVITS-beta0706\GPT_SoVITS\s2_train.py", line 600, in <module>
main()
mp.spawn(
File "D:\ProgramData\anaconda3\envs\GPTSoVITS\lib\site-packages\torch\multiprocessing\spawn.py", line 246, in spawn
return start_processes(fn, args, nprocs, join, daemon, start_method="spawn")
File "D:\ProgramData\anaconda3\envs\GPTSoVITS\lib\site-packages\torch\multiprocessing\spawn.py", line 202, in start_processes
while not context.join():
File "D:\ProgramData\anaconda3\envs\GPTSoVITS\lib\site-packages\torch\multiprocessing\spawn.py", line 163, in join
raise ProcessRaisedException(msg, error_index, failed_process.pid)
torch.multiprocessing.spawn.ProcessRaisedException:
-- Process 0 terminated with the following error:
Traceback (most recent call last):
File "D:\ProgramData\anaconda3\envs\GPTSoVITS\lib\site-packages\torch\multiprocessing\spawn.py", line 74, in _wrap
fn(i, *args)
File "D:\Code\GPT-SoVITS-beta0706\GPT_SoVITS\s2_train.py", line 85, in run
train_dataset = TextAudioSpeakerLoader(hps.data) ########
File "D:\Code\GPT-SoVITS-beta0706\GPT_SoVITS\module\data_utils.py", line 36, in __init__
assert os.path.exists(self.path4)
AssertionError
报错的地方出现的py包为gradio，因此第一debug思路为换个gradio版本，优先考虑最新版本
首先
pip list
看到当前的gradio版本为3.38.0
(GPTSoVITS) PS D:\Code\GPT-SoVITS-beta0706> pip list
Package Version
------------------------- ------------
absl-py 2.1.0
addict 2.4.0
aiofiles 23.2.1
aiohappyeyeballs 2.4.3
aiohttp 3.10.10
aiosignal 1.3.1
aliyun-python-sdk-core 2.16.0
aliyun-python-sdk-kms 2.16.5
altair 5.4.1
annotated-types 0.7.0
antlr4-python3-runtime 4.9.3
anyio 4.6.2.post1
async-timeout 4.0.3
attrs 24.2.0
audioread 3.0.1
av 12.3.0
certifi 2022.12.7
cffi 1.17.1
chardet 5.2.0
charset-normalizer 2.1.1
click 8.1.7
cn2an 0.5.22
colorama 0.4.6
coloredlogs 15.0.1
contourpy 1.3.0
crcmod 1.7
cryptography 43.0.3
ctranslate2 4.5.0
cycler 0.12.1
datasets 3.0.2
decorator 5.1.1
dill 0.3.8
Distance 0.1.3
editdistance 0.8.1
einops 0.8.0
exceptiongroup 1.2.2
fastapi 0.115.4
faster-whisper 1.0.3
ffmpeg-python 0.2.0
ffmpy 0.4.0
filelock 3.13.1
flatbuffers 24.3.25
fonttools 4.54.1
frozenlist 1.5.0
fsspec 2024.2.0
funasr 1.0.0
future 1.0.0
g2p-en 2.1.0
gast 0.6.0
gradio 3.38.0
gradio_client 0.8.1
grpcio 1.67.1
h11 0.14.0
hdbscan 0.8.39
httpcore 1.0.6
httpx 0.27.2
huggingface-hub 0.26.2
humanfriendly 10.0
hydra-core 1.3.2
idna 3.4
importlib_metadata 8.5.0
inflect 7.4.0
jaconv 0.4.0
jamo 0.4.1
jieba 0.42.1
jieba_fast 0.53
Jinja2 3.1.3
jmespath 0.10.0
joblib 1.4.2
jsonschema 4.23.0
jsonschema-specifications 2024.10.1
kaldiio 2.18.0
kiwisolver 1.4.7
LangSegment 0.3.5
librosa 0.9.2
lightning-utilities 0.11.8
linkify-it-py 2.0.3
llvmlite 0.39.1
Markdown 3.7
markdown-it-py 2.2.0
MarkupSafe 2.1.5
matplotlib 3.9.2
mdit-py-plugins 0.3.3
mdurl 0.1.2
modelscope 1.10.0
more-itertools 10.5.0
mpmath 1.3.0
multidict 6.1.0
multiprocess 0.70.16
narwhals 1.12.1
networkx 3.2.1
nltk 3.9.1
numba 0.56.4
numpy 1.23.5
omegaconf 2.3.0
onnxruntime 1.19.2
orjson 3.10.10
oss2 2.19.1
packaging 24.1
pandas 2.2.3
pillow 10.2.0
pip 24.2
platformdirs 4.3.6
pooch 1.8.2
proces 0.1.7
propcache 0.2.0
protobuf 5.28.3
psutil 6.1.0
py3langid 0.2.2
pyarrow 18.0.0
pycparser 2.22
pycryptodome 3.21.0
pydantic 2.9.2
pydantic_core 2.23.4
pydub 0.25.1
pyopenjtalk 0.3.4
pyparsing 3.2.0
pypinyin 0.53.0
pyreadline3 3.5.4
python-dateutil 2.9.0.post0
python-multipart 0.0.16
pytorch-lightning 2.4.0
pytorch-wpe 0.0.1
pytz 2024.2
PyYAML 6.0.2
referencing 0.35.1
regex 2024.9.11
requests 2.32.3
resampy 0.4.3
rpds-py 0.20.0
safetensors 0.4.5
scikit-learn 1.5.2
scipy 1.14.1
semantic-version 2.10.0
sentencepiece 0.2.0
setuptools 75.1.0
simplejson 3.19.3
six 1.16.0
sniffio 1.3.1
some-package 0.1
sortedcontainers 2.4.0
soundfile 0.12.1
starlette 0.41.2
sympy 1.13.1
tensorboard 2.18.0
tensorboard-data-server 0.7.2
threadpoolctl 3.5.0
tokenizers 0.20.1
tomli 2.0.2
torch 2.1.2+cu121
torchaudio 2.1.2+cu121
torchmetrics 1.5.1
torchvision 0.16.2+cu121
tqdm 4.66.6
transformers 4.46.1
typeguard 4.4.0
typing_extensions 4.12.2
tzdata 2024.2
uc-micro-py 1.0.3
umap 0.1.1
urllib3 1.26.13
uvicorn 0.32.0
Werkzeug 3.0.6
wheel 0.44.0
wordsegment 1.3.1
xxhash 3.5.0
yapf 0.40.2
yarl 1.17.0
zipp 3.20.2
接下来
pip install gradio==99999
ERROR: Ignored the following yanked versions: 2.8.0, 3.0.7, 3.1.2, 3.13.1, 4.7.0
ERROR: Could not find a version that satisfies the requirement gradio==99999 (from versions: 0.1.0, 0.1.1, 0.1.2, 0.1.3, 0.1.4, 0.1.5, 0.1.6, 0.1.7, 0.1.8, 0.1.9, 0.2.0, 0.2.1, 0.3.0, 0.3.1, 0.3.2, 0.3.3, 0.3.4, 0.3.5, 0.4.0, 0.4.1,
.2, 1.0.0a1, 1.0.0a3, 1.0.0a4, 1.0.0, 1.0.1, 1.0.2, 1.0.3, 1.0.4, 1.0.5, 1.0.6, 1.0.7, 1.1.0, 1.1.1, 1.1.2, 1.1.3, 1.1.4, 1.1.5, 1.1.6, 1.1.8, 1.1.8.1, 1.1.9, 1.2.2, 1.2.3, 1.3.0, 1.3.1, 1.3.2, 1.4.0, 1.4.2, 1.4.3, 1.4.4, 1.5.0, 1.5.1, 1.5.3, 1.5.4, 1.6.0, 1.6.1, 1.6.2, 1.6.3, 1.6.4, 1.7.0, 1.7.1, 1.7.2, 1.7.3, 1.7.4, 1.7.5, 1.7.6, 1.7.7, 2.0.0, 2.0.1, 2.0.2, 2.0.4, 2.0.5, 2.0.6, 2.0.7, 2.0.8, 2.0.9, 2.0.10, 2.1.0, 2.1.1, 2.1.2, 2.1.4, 2.1.6, 2.1.7, 2.2.0, 2.2.1, 2.2.2, 2.2.3, 2.2.4, 2.2.5, 2.2.6, 2.2.7, 2.2.8, 2.2.9a0, 2.2.9a2, 2.2.10, 2.2.11, 2.2.12, 2.2.13, 2.2.14, 2.2.15, 2.3.0a0, 2.3.0b99, 2.3.0b101, 2.3.0b102, 2.3.0, 2.3.3, 2.3.4, 2.3.5b0, 2.3.5, 2.3.6, 2.3.7b0, 2.3.7b1, 2.3.7b2, 2.3.7, 2.3.8b0, 2.3.9, 2.4.0a0, 2.4.0, 2.4.1, 2.4.2, 2.4.4, 2.4.5, 2.4.6, 2.4.7b0, 2.4.7b2, 2.4.7b3, 2.4.7b4, 2.4.7b5, 2.4.7b6, 2.4.7b7, 2.4.7b8, 2.4.7b9, 2.5.0, 2.5.1, 2.5.2, 2.5.3, 2.5.8a0, 2.6.0, 2.6.1a0, 2.6.1b0, 2.6.1b3, 2.6.1, 1, 2.8.2, 2.8.3, 2.8.4, 2.8.5, 2.8.6, 2.8.7, 2.8.8, 2.8.9, 2.8.10, 2.8.11, 2.8.12, 2.8.13, 2.8.14, 2.9.0b0, 2.9.0b1, 2.9.0b2, 2.9.0b3, 2.9.0b5, 2.9.0b6, 2.9.0b7, 2.9.0b8, 2.9.0b9, 2.9.0b10, 2.9b11, 2.9b12, 2.9b13, 2.9b14, 2.9b15, 2.9b20, 2.9b21, 2.9b22, 2.9b23, 2.9b24, 2.9b25, 2.9b26, 2.9b27, 2.9b28, 2.9b30, 2.9b31, 2.9b32, 2.9b33, 2.9b40, 2.9b48, 2.9b50, 2.9.0, 2.9.0.1, 2.9.1, 2.9.2, 2.9.3, 2.9.4, 3.0b0, 3.0b1, 3.0b2, 3.0b5, 3.0b6, 3.0b8, 3.0b9, 3.0b10, 3.0, 3.0.1b120, 3.0.1b121, 3.0.1b300, 3.0.1, 3.0.2, 3.0.3, 3.0.4, 3.0.5, 3.0.6b1, 3.0.6b2, 3.0.6b3, 3.0.6, 3.0.8b1, 3.0.8, 3.0.9b10, 3.0.9b11, 3.0.9b20, 3.0.9, 3.0.10b2, 3.0.10b16, 3.0.10, 3.0.11b1, 3.0.11, 3.0.12, 3.0.13b13, 3.0.13b15, 3.0.13b100, 3.0.13, 3.0.14, 3.0.15, 3.0.16, 3.0.17, 3.0.18b0, 3.0.18, 3.0.19b0, 3.0.19b1, 3.0.19b2, 3.0.19, 3.0.20.dev0, 3.0.20, 3.0.21, 3.0.22, 3.0.23.dev1, 3.0.23, 3.0.24, 3.0.25, 3.0.26, 3.1.0, 3.1.1, 3.1.3a0, 3.1.3a2, 3.1.3a3, 3.1.3a4, 3.1.3a5, 3.1.3, 3.1.4b0, 3.1.4b1, 3.1.4b2, 3.1.4b3, 3.1.4b4, 3.1.4b5, 3.1.4, 3.1.5b1, 3.1.5b2, 3.1.5b3, 3.1.5b4, 3.1.5b5, 3.1.5b7, 3.1.5b8, 3.1.5b9, 3.1.5b10, 3.1.5, 3.1.6b1, 3.1.6, 3.1.7, 3.1.8b0, 3.1.8b2, 3.1.8b3, 3.1.8b4, 3.1.8b6, 3.2, 3.2.1b0, 3.2.1b1, 3.2.1b2, 3.3b0, 3.3b1, 3.3, 3.3.1, 3.4b0, 3.4b1, 3.4b2, 3.4b3, 3.4b5, 3.4, 3.4.1, 3.5, 3.6.0b1, 3.6.0b2, 3.6.0b3, 3.6.0b7, 3.6.0b10, 3.6, 3.7, 3.8b1, 3.8b2, 3.8, 3.8.1.dev1, 3.8.1, 3.8.2, 3.9, 3.9.1, 3.10.0, 3.10.1, 3.11.0, 3.12.0b1, 3.12.0b2, 3.12.0b3, 3.12.0b6, 3.12.0b7, 3.12.0, 3.13.0b1, 3.13.0, 3.13.1b0, 3.13.1b1, 3.13.1b2, 3.13.2, 3.14.0a1, 3.14.0, 3.15.0, 3.16.0, 3.16.1b1, 3.16.1, 3.16.2, 3.17.0, 3.17.1b1, 3.17.1b2, 3.17.1, 3.18.0, 3.18.1b1, 3.18.1b2, 3.18.1b3, 3.18.1b4, 3.18.1b5, 3.18.1b6, 3.18.1b7, 3.19.0, 3.19.1, 3.20.0b1, 3.20.0b2, 3.20.0, 3.20.1, 3.21.0, 3.22.0, 3.22.1b1, 3.22.1, 3.23.0, 3.23.1b1, 3.23.1b2, 3.23.1b3, 3.24.0, 3.24.1, 3.25.0, 3.25.1b1, 3.25.1b2, 3.26.0, 3.27.0, 3.28.0, 3.28.1, 3.28.2, 3.28.3, 3.28.4b0, 3.29.0, 3.30.0, 3.31.0, 3.32.0, 3.33.0, 3.33.1, 3.34.0, 3.35.0, 3.35.1, 3.35.2, 3.36.0, 3.36.1, 3.37.0, 3.38.0, 3.39.0, 3.40.0, 3.40.1, 3.41.0, 3.41.1, 3.41.2, 3.42.0, 3.43.0, 3.43.1, 3.43.2, 3.44.0, 3.44.1, 3.44.2, 3.44.3, 3.44.4, 3.45.0b0, 3.45.0b1, 3.45.0b2, 3.45.0b3, 3.45.0b4, 3.45.0b5, 3.45.0b6, 3.45.0b7, 3.45.0b8, 3.45.0b9, 3.45.0b10, 3.45.0b11, 3.45.0b12, 3.45.0b13, 3.45.0, 3.45.1, 3.45.2, 3.46.0, 3.46.1, 3.47.0, 3.47.1, 3.48.0, 3.49.0, 3.50.0, 3.50.1, 3.50.2, 4.0.0b15, 4.0.0, 4.0.1, 4.0.2, 4.1.0, 4.1.1, 4.1.2, 4.2.0, 4.3.0, 4.4.0, 4.4.1, 4.5.0, 4.7.1, 4.8.0, 4.9.0, 4.9.1, 4.10.0, 4.11.0, 4.12.0, 4.13.0, 4.14.0, 4.15.0, 4.16.0, 4.17.0, 4.18.0, 4.19.0, 4.19.1, 4.19.2, 4.20.0, 4.20.1, 4.21.0, 4.22.0, 4.23.0, 4.24.0, 4.25.0, 4.26.0, 4.27.0, 4.28.0, 4.28.1, 4.28.2, 4.28.3, 4.29.0, 4.31.0, 4.31.1, 4.31.2, 4.31.3, 4.31.4, 4.31.5, 4.32.0, 4.32.1, 4.32.2, 4.33.0, 4.35.0, 4.36.0, 4.36.1, 4.37.1, 4.37.2, 4.38.0, 4.38.1, 4.39.0, 4.40.0, 4.41.0, 4.42.0, 4.43.0, 4.44.0, 4.44.1, 5.0.0b1, 5.0.0b5, 5.0.0b6, 5.0.0b7, 5.0.0b8, 5.0.0b9, 5.0.0b10, 5.0.0, 5.0.1, 5.0.2, 5.1.0, 5.3.0, 5.4.0)
然后
pip install gradio==5.4.0
重新运行webui.py在gradio页面中开启一键三连还是报错了
(GPTSoVITS) PS D:\Code\GPT-SoVITS-beta0706> pip install gradio==5.4.0
Collecting gradio==5.4.0
Downloading gradio-5.4.0-py3-none-any.whl.metadata (16 kB)
Requirement already satisfied: aiofiles<24.0,>=22.0 in d:\programdata\anaconda3\envs\gptsovits\lib\site-packages (from gradio==5.4.0) (23.2.1)
Requirement already satisfied: anyio<5.0,>=3.0 in d:\programdata\anaconda3\envs\gptsovits\lib\site-packages (from gradio==5.4.0) (4.6.2.post1)
Requirement already satisfied: fastapi<1.0,>=0.115.2 in d:\programdata\anaconda3\envs\gptsovits\lib\site-packages (from gradio==5.4.0) (0.115.4)
Requirement already satisfied: ffmpy in d:\programdata\anaconda3\envs\gptsovits\lib\site-packages (from gradio==5.4.0) (0.4.0)
Collecting gradio-client==1.4.2 (from gradio==5.4.0)
Downloading gradio_client-1.4.2-py3-none-any.whl.metadata (7.1 kB)
Requirement already satisfied: httpx>=0.24.1 in d:\programdata\anaconda3\envs\gptsovits\lib\site-packages (from gradio==5.4.0) (0.27.2)
Requirement already satisfied: huggingface-hub>=0.25.1 in d:\programdata\anaconda3\envs\gptsovits\lib\site-packages (from gradio==5.4.0) (0.26.2)
Requirement already satisfied: jinja2<4.0 in d:\programdata\anaconda3\envs\gptsovits\lib\site-packages (from gradio==5.4.0) (3.1.3)
Requirement already satisfied: markupsafe~=2.0 in d:\programdata\anaconda3\envs\gptsovits\lib\site-packages (from gradio==5.4.0) (2.1.5)
Requirement already satisfied: numpy<3.0,>=1.0 in d:\programdata\anaconda3\envs\gptsovits\lib\site-packages (from gradio==5.4.0) (1.23.5)
Requirement already satisfied: orjson~=3.0 in d:\programdata\anaconda3\envs\gptsovits\lib\site-packages (from gradio==5.4.0) (3.10.10)
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Attempting uninstall: python-multipart
Found existing installation: python-multipart 0.0.16
Uninstalling python-multipart-0.0.16:
Successfully uninstalled python-multipart-0.0.16
Attempting uninstall: gradio-client
Found existing installation: gradio_client 0.8.1
Uninstalling gradio_client-0.8.1:
Successfully uninstalled gradio_client-0.8.1
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(GPTSoVITS) PS D:\Code\GPT-SoVITS-beta0706> python webui.py
Traceback (most recent call last):
File "D:\Code\GPT-SoVITS-beta0706\webui.py", line 875, in <module>
app.queue(concurrency_count=511, max_size=1022).launch(
Exception ignored in: <module 'threading' from 'D:\\ProgramData\\anaconda3\\envs\\GPTSoVITS\\lib\\threading.py'>
Traceback (most recent call last):
File "D:\ProgramData\anaconda3\envs\GPTSoVITS\lib\threading.py", line 1567, in _shutdown
lock.acquire()
KeyboardInterrupt:
因此替换为3.xx.x最后一个版本------3.50.2
pip install gradio=3.50.2
接下来就可以实现三连进程的正常运行了
(GPTSoVITS) PS D:\Code\GPT-SoVITS-beta0706> pip install gradio==3.50.2
Collecting gradio==3.50.2
Downloading gradio-3.50.2-py3-none-any.whl.metadata (17 kB)
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Downloading gradio-3.50.2-py3-none-any.whl (20.3 MB)
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Downloading gradio_client-0.6.1-py3-none-any.whl (299 kB)
Downloading importlib_resources-6.4.5-py3-none-any.whl (36 kB)
Installing collected packages: importlib-resources, gradio-client, gradio
Attempting uninstall: gradio-client
Found existing installation: gradio_client 1.4.2
Uninstalling gradio_client-1.4.2:
Successfully uninstalled gradio_client-1.4.2
Successfully installed gradio-3.50.2 gradio-client-0.6.1 importlib-resources-6.4.5
(GPTSoVITS) PS D:\Code\GPT-SoVITS-beta0706> python webui.py
Running on local URL: http://0.0.0.0:9874
IMPORTANT: You are using gradio version 3.50.2, however version 4.44.1 is available, please upgrade.
--------
"D:\ProgramData\anaconda3\envs\GPTSoVITS\python.exe" GPT_SoVITS/prepare_datasets/1-get-text.py
"D:\ProgramData\anaconda3\envs\GPTSoVITS\python.exe" GPT_SoVITS/prepare_datasets/1-get-text.py
D:\ProgramData\anaconda3\envs\GPTSoVITS\lib\site-packages\torch\_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
return self.fget.__get__(instance, owner)()
BertForMaskedLM has generative capabilities, as `prepare_inputs_for_generation` is explicitly overwritten. However, it doesn't directly inherit from `GenerationMixin`. From 👉v4.50👈 onwards, `PreTrainedModel` will NOT inherit from `GenerationMixin`, and this model will lose the ability to call `generate` and other related functions.
- If you're using `trust_remote_code=True`, you can get rid of this warning by loading the model with an auto class. See https://huggingface.co/docs/transformers/en/model_doc/auto#auto-classes
- If you are the owner of the model architecture code, please modify your model class such that it inherits from `GenerationMixin` (after `PreTrainedModel`, otherwise you'll get an exception).
- If you are not the owner of the model architecture class, please contact the model code owner to update it.
D:\ProgramData\anaconda3\envs\GPTSoVITS\lib\site-packages\torch\_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
return self.fget.__get__(instance, owner)()
BertForMaskedLM has generative capabilities, as `prepare_inputs_for_generation` is explicitly overwritten. However, it doesn't directly inherit from `GenerationMixin`. From 👉v4.50👈 onwards, `PreTrainedModel` will NOT inherit from `GenerationMixin`, and this model will lose the ability to call `generate` and other related functions.
- If you're using `trust_remote_code=True`, you can get rid of this warning by loading the model with an auto class. See https://huggingface.co/docs/transformers/en/model_doc/auto#auto-classes
- If you are the owner of the model architecture code, please modify your model class such that it inherits from `GenerationMixin` (after `PreTrainedModel`, otherwise you'll get an exception).
- If you are not the owner of the model architecture class, please contact the model code owner to update it.
Building prefix dict from the default dictionary ...
Loading model from cache D:\Code\GPT-SoVITS-beta0706\TEMP\jieba.cache
Building prefix dict from the default dictionary ...
Loading model from cache D:\Code\GPT-SoVITS-beta0706\TEMP\jieba.cache
Loading model cost 0.495 seconds.
Prefix dict has been built succesfully.
Loading model cost 0.489 seconds.
Prefix dict has been built succesfully.
"D:\ProgramData\anaconda3\envs\GPTSoVITS\python.exe" GPT_SoVITS/prepare_datasets/2-get-hubert-wav32k.py
"D:\ProgramData\anaconda3\envs\GPTSoVITS\python.exe" GPT_SoVITS/prepare_datasets/2-get-hubert-wav32k.py
D:\ProgramData\anaconda3\envs\GPTSoVITS\lib\site-packages\torch\_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
return self.fget.__get__(instance, owner)()
D:\ProgramData\anaconda3\envs\GPTSoVITS\lib\site-packages\torch\_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
return self.fget.__get__(instance, owner)()
"D:\ProgramData\anaconda3\envs\GPTSoVITS\python.exe" GPT_SoVITS/prepare_datasets/3-get-semantic.py
"D:\ProgramData\anaconda3\envs\GPTSoVITS\python.exe" GPT_SoVITS/prepare_datasets/3-get-semantic.py
D:\ProgramData\anaconda3\envs\GPTSoVITS\lib\site-packages\torch\nn\utils\weight_norm.py:30: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
D:\ProgramData\anaconda3\envs\GPTSoVITS\lib\site-packages\torch\nn\utils\weight_norm.py:30: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
<All keys matched successfully>
<All keys matched successfully>
此时gradio中出现页面为一键三连进程结束
