已解决，部署GPTSoVITS报错‘AsyncRequest‘ object has no attribute ‘_json_response_data‘

最新推荐文章于 2025-09-26 00:57:43 发布
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#运维 #自然语言处理 #python #语言模型 #gpt

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)
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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)
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Collecting python-multipart==0.0.12 (from gradio==5.4.0)
  Downloading python_multipart-0.0.12-py3-none-any.whl.metadata (1.9 kB)
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Collecting ruff>=0.2.2 (from gradio==5.4.0)
  Downloading ruff-0.7.2-py3-none-win_amd64.whl.metadata (25 kB)
Collecting safehttpx<1.0,>=0.1.1 (from gradio==5.4.0)
  Downloading safehttpx-0.1.1-py3-none-any.whl.metadata (4.1 kB)
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Collecting tomlkit==0.12.0 (from gradio==5.4.0)
  Using cached tomlkit-0.12.0-py3-none-any.whl.metadata (2.7 kB)
Collecting typer<1.0,>=0.12 (from gradio==5.4.0)
  Downloading typer-0.12.5-py3-none-any.whl.metadata (15 kB)
Requirement already satisfied: typing-extensions~=4.0 in d:\programdata\anaconda3\envs\gptsovits\lib\site-packages (from gradio==5.4.0) (4.12.2)
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Requirement already satisfied: certifi in d:\programdata\anaconda3\envs\gptsovits\lib\site-packages (from httpx>=0.24.1->gradio==5.4.0) (2022.12.7)
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Collecting shellingham>=1.3.0 (from typer<1.0,>=0.12->gradio==5.4.0)
  Using cached shellingham-1.5.4-py2.py3-none-any.whl.metadata (3.5 kB)
Collecting rich>=10.11.0 (from typer<1.0,>=0.12->gradio==5.4.0)
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Collecting pygments<3.0.0,>=2.13.0 (from rich>=10.11.0->typer<1.0,>=0.12->gradio==5.4.0)
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Downloading gradio-5.4.0-py3-none-any.whl (56.7 MB)
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Using cached tomlkit-0.12.0-py3-none-any.whl (37 kB)
Downloading ruff-0.7.2-py3-none-win_amd64.whl (9.4 MB)
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Downloading safehttpx-0.1.1-py3-none-any.whl (8.4 kB)
Downloading typer-0.12.5-py3-none-any.whl (47 kB)
Downloading rich-13.9.4-py3-none-any.whl (242 kB)
Using cached shellingham-1.5.4-py2.py3-none-any.whl (9.8 kB)
Using cached pygments-2.18.0-py3-none-any.whl (1.2 MB)
  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
Successfully installed gradio-5.4.0 gradio-client-1.4.2 pygments-2.18.0 python-multipart-0.0.12 rich-13.9.4 ruff-0.7.2 safehttpx-0.1.1 shellingham-1.5.4 tomlkit-0.12.0 typer-0.12.5
(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)
Requirement already satisfied: aiofiles<24.0,>=22.0 in d:\programdata\anaconda3\envs\gptsovits\lib\site-packages (from gradio==3.50.2) (23.2.1)
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Requirement already satisfied: ffmpy in d:\programdata\anaconda3\envs\gptsovits\lib\site-packages (from gradio==3.50.2) (0.4.0)
Collecting gradio-client==0.6.1 (from gradio==3.50.2)
  Downloading gradio_client-0.6.1-py3-none-any.whl.metadata (7.1 kB)
Requirement already satisfied: httpx in d:\programdata\anaconda3\envs\gptsovits\lib\site-packages (from gradio==3.50.2) (0.27.2)
Requirement already satisfied: huggingface-hub>=0.14.0 in d:\programdata\anaconda3\envs\gptsovits\lib\site-packages (from gradio==3.50.2) (0.26.2)
Collecting importlib-resources<7.0,>=1.3 (from gradio==3.50.2)
  Downloading importlib_resources-6.4.5-py3-none-any.whl.metadata (4.0 kB)
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Requirement already satisfied: semantic-version~=2.0 in d:\programdata\anaconda3\envs\gptsovits\lib\site-packages (from gradio==3.50.2) (2.10.0)
Requirement already satisfied: typing-extensions~=4.0 in d:\programdata\anaconda3\envs\gptsovits\lib\site-packages (from gradio==3.50.2) (4.12.2)
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Requirement already satisfied: filelock in d:\programdata\anaconda3\envs\gptsovits\lib\site-packages (from huggingface-hub>=0.14.0->gradio==3.50.2) (3.13.1)
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Requirement already satisfied: contourpy>=1.0.1 in d:\programdata\anaconda3\envs\gptsovits\lib\site-packages (from matplotlib~=3.0->gradio==3.50.2) (1.3.0)
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Requirement already satisfied: pytz>=2020.1 in d:\programdata\anaconda3\envs\gptsovits\lib\site-packages (from pandas<3.0,>=1.0->gradio==3.50.2) (2024.2)
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Requirement already satisfied: httpcore==1.* in d:\programdata\anaconda3\envs\gptsovits\lib\site-packages (from httpx->gradio==3.50.2) (1.0.6)
Requirement already satisfied: sniffio in d:\programdata\anaconda3\envs\gptsovits\lib\site-packages (from httpx->gradio==3.50.2) (1.3.1)
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Requirement already satisfied: six>=1.5 in d:\programdata\anaconda3\envs\gptsovits\lib\site-packages (from python-dateutil>=2.7->matplotlib~=3.0->gradio==3.50.2) (1.16.0)
Requirement already satisfied: exceptiongroup>=1.0.2 in d:\programdata\anaconda3\envs\gptsovits\lib\site-packages (from anyio->httpx->gradio==3.50.2) (1.2.2)
Downloading gradio-3.50.2-py3-none-any.whl (20.3 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 20.3/20.3 MB 22.1 MB/s eta 0:00:00
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

GPT-SoVITS声音训练报错ZeroDivisionError: division by zero
本博客，博文仅代表个人操作经验，不能完全解决你的问题，仅供参考，佛系回复。
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GPT-SoVITS声音训练报错ZeroDivisionError: division by zero。检查GPT-SoVITS-0421文件夹下面有没ffmpeg等文件，如果没有按下面操作。2.从ffmpeg\bin下面文件全部复制一份到GPT-SoVITS-0421文件夹。检查数据集音频目录路径填写错误，错填成文本的目录路径，检查下面两地方路径。4.然后再次训练，成功解决（解决本案例）3.打开web服务，然后再次一键三联。这个GPT参考，感觉没大作用。1.先关闭运行中的cmd服务。
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