api.py,sha256=PueqDPoQu2cuvNCdg_dCXQLYKgq7P9hhjj2L2YyoRUc,101
api_v2.py,sha256=isjCxmgEpcuLedkKn0U3fjXxq-WXu_BJGB5ATqTbm6c,110
config.py,sha256=KnPh4CkCs0ol05nETm0D_mPKClHZUwTfxV_qgF48frM,40
webui.py,sha256=_w1JlxhkD1SybhYng4nWa5s732aafbx9WDPPIAFsb8s,107
GPT_SoVITS/__init__.py,sha256=q2eX4kObmHP1KQbUpKZvYIueT4EqnIyv90Oq4XLkyNo,424
GPT_SoVITS/download.py,sha256=d3qLAwaE5JvgAsX9jBGKoBNLseclj-voVXGxXBPG9n0,525
GPT_SoVITS/export_torch_script.py,sha256=EzVuq8nErLvtUEKK5ilbxnA07Zl3f6hzoFPMY2-7vYw,41327
GPT_SoVITS/inference_cli.py,sha256=KvJjiUR1rflhP5YFmBUofdA4UatCzbHwlFN45Q8UKCU,2719
GPT_SoVITS/inference_gui.py,sha256=8PszHqjfnN2gDWfXw38ctPtUQUWLhLv6Ax7nyvrvOos,12244
GPT_SoVITS/inference_webui.py,sha256=IX_icnWRxf-BOaP0LqNE97Bx9BxPoPldZORc-tw_WmE,38045
GPT_SoVITS/inference_webui_fast.py,sha256=ZHL--Cxg30n2F1RCBCYKuCvKZjPUYo1dFSU5KmIjB4E,19943
GPT_SoVITS/process_ckpt.py,sha256=RI8s1nAdIwMCglmEEV_E8Jxo2Yzgo0yzSkwUP1UPJyw,3942
GPT_SoVITS/stream_v2pro.py,sha256=VW08QL1UBmDR0aH_VPTnP-7Gjkdhm6tmaEnsIW1hYN4,21118
GPT_SoVITS/sv.py,sha256=5cglTsJslQ4QSsAYLbQgI4LstTayMofsFJN7kMNVXR4,1340
GPT_SoVITS/utils.py,sha256=4qqYG00k7zSB_R2GIOJEmZXV7WJxpFx58JT8hkIy3Ho,11042
GPT_SoVITS/AR/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
GPT_SoVITS/AR/models/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
GPT_SoVITS/AR/models/t2s_lightning_module.py,sha256=JFv4CsNgPWplNQ4csmheTT6Vl-JL5MeS6nqg7-zxAzY,2087
GPT_SoVITS/AR/models/t2s_model.py,sha256=ZS5SskiINqXyBz_xou9fTxWXhZiyFcu5YF7K-oNrOzk,57267
GPT_SoVITS/AR/models/utils.py,sha256=IBBhukHOxgTS-_8JimlW-E58GldiVCY1QvpGb5jVFEM,10566
GPT_SoVITS/AR/modules/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
GPT_SoVITS/AR/modules/activation.py,sha256=JRpl6b8JggsDCES-KBr-88VgVr6ifosg7BFE1-SzHdg,19742
GPT_SoVITS/AR/modules/embedding.py,sha256=z0yLPh2DjBMFSa97jo7d6t8Nof4gYOh8XbKdSJub9wo,2640
GPT_SoVITS/AR/modules/patched_mha_with_cache.py,sha256=U3wCjZ-nJQYGbaDxVyOa46bXupQq_oY00Px4cjOvrFY,19167
GPT_SoVITS/AR/modules/scaling.py,sha256=e-ayCcY271X5_B8FQwLCSQsys0WdNRRsE3J8GAovGKc,12566
GPT_SoVITS/AR/modules/transformer.py,sha256=YKzxYIZC74kJgdpzIkbvpPNCJtPnXRqdS9J7msNqbSE,12395
GPT_SoVITS/AR/text_processing/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
GPT_SoVITS/AR/text_processing/phonemizer.py,sha256=5vqn4bTLQTHMIXGCuwZ4qq8MOoRv_L7pf4mrp3-Hrg4,2581
GPT_SoVITS/AR/text_processing/symbols.py,sha256=2dkgww1O_9JWHOUPcF_9QJTmY-GzwehQJxVN9rxE8ls,740
GPT_SoVITS/TTS_infer_pack/TTS.py,sha256=BX7n8CJdVzGnEHvTR0V1aj7ZxOIibRqRHZG3z8KWeYY,81408
GPT_SoVITS/TTS_infer_pack/TextPreprocessor.py,sha256=U75KGps9ucvF-ia1F9RfUoqNtIeDuXDpcKAmXfhjtAA,15735
GPT_SoVITS/TTS_infer_pack/__init__.py,sha256=FyEkagU8wka8mYOCd3LjO9j91hevLHWsyFnEbsCJH0w,44
GPT_SoVITS/TTS_infer_pack/pause_splitter.py,sha256=cK1Ltv4gXcIic1ZmDrfja8ArSg8hJsnpCRPTtbS7nXY,27178
GPT_SoVITS/TTS_infer_pack/text_segmentation_method.py,sha256=wHzrE0TP2MNVI1zIcY0oTLpNtthhojQ8UFfIGLcKgC4,4899
GPT_SoVITS/configs/s1.yaml,sha256=rPSX6T9rb9PTYtkhVizd3VXe5eI3t_kw5VjEsvyVQ04,521
GPT_SoVITS/configs/s1big.yaml,sha256=YHo9szTTMPJWHgKgqKHK2XHQ285gXUESzDD2n3uma6M,529
GPT_SoVITS/configs/s1big2.yaml,sha256=6BK5NB95WhvjCmPNlZ5mOTd0MWw_cnMLhikQvVh4s4A,529
GPT_SoVITS/configs/s1longer-v2.yaml,sha256=IXuS5nd-zvmoQUF3yVN1IbFuUeK-LzuaFcUyu3q6VAo,517
GPT_SoVITS/configs/s1longer.yaml,sha256=vg4SMP0tcY4HkwtB-lZosi0C1WmeeonlSopSriK2XHc,516
GPT_SoVITS/configs/s1mq.yaml,sha256=vTAWIza7xXWsZxRkPzOTTIc3bcm95ddbJqYJ-Tg-tUA,1716
GPT_SoVITS/configs/s2.json,sha256=3ty-oQVRS9y8GV809xBGBrldgp2ggg7bqYpnOC-PIB8,1581
GPT_SoVITS/configs/s2v2Pro.json,sha256=wBL7GIIkKA83Ny9uRlhvnE6ysbqe0qg3r-C7SZCTB-k,1582
GPT_SoVITS/configs/s2v2ProPlus.json,sha256=nKBOj3OqFj1MtURZDnXRm_aaGm72FIbFBIbbGiB3g4I,1582
GPT_SoVITS/configs/train.yaml,sha256=x6A7kKZWJ-Yi3SkeJX5fkqx0LJ7ocWVlp5Z425gxSjg,558
GPT_SoVITS/configs/tts_infer.yaml,sha256=VGK2v1CQVPF3h0KZ-wUMydDkTN20G643axFoStsSKe4,2430
GPT_SoVITS/eres2net/ERes2Net.py,sha256=TCWC_8WXB1FMTyJzJixAjUJLUEPVVRHEdplW4RI1d4o,9870
GPT_SoVITS/eres2net/ERes2NetV2.py,sha256=5qF_AaNugTO5w-Fb4jWPQZUcnYh8XFNt03iPEogB-P0,9734
GPT_SoVITS/eres2net/ERes2Net_huge.py,sha256=RdK92uJVZfzAGs_wab0Q-xfsKlJ8iugTsbVzaK8lYkA,11082
GPT_SoVITS/eres2net/fusion.py,sha256=6S21zHIiR_mFgPLtIhu9WxCCkM2n_2lK5m0VV9veeS8,948
GPT_SoVITS/eres2net/kaldi.py,sha256=kNihZ6ZEBZMamRvJQmJi2bDZRMhZm393Cqf0MYy-Z9Y,37118
GPT_SoVITS/eres2net/pooling_layers.py,sha256=9_uNi7SpCAoLf_wGCgbWIrfrfpRcFF_oAe4FHfg35ww,3646
GPT_SoVITS/feature_extractor/__init__.py,sha256=oXbMxqztSE5PT6wo5TlGLKPAKBX0Gt0FLrU77U3YmXc,330
GPT_SoVITS/feature_extractor/cnhubert.py,sha256=gWnSd2Tdl5mrAavN4nwy_iv7MMz9u3eB5T1EzCVVQEc,14332
GPT_SoVITS/feature_extractor/whisper_enc.py,sha256=veNEz6l9KaXCIac4FTJ3qRSBOqLKXqeQm4MYm-tfKwo,688
GPT_SoVITS/module/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
GPT_SoVITS/module/attentions.py,sha256=YvKVZMHpn2nVQh7O_oDJmCcRI6LO6FJBpnF0yR_Em50,23085
GPT_SoVITS/module/attentions_onnx.py,sha256=1jzLaYJ9dPAO72Z2oZJ3UkGtSRZVWZ7o2356CbQuCZA,14169
GPT_SoVITS/module/commons.py,sha256=8SVYlThbFlXkr6XQHPUdXgnmwx67nU1nJllKm1r0iDw,5824
GPT_SoVITS/module/core_vq.py,sha256=rrQTo39mGlC4TCipjy99-732It1nLuQD_KrbY0VsyPs,15116
GPT_SoVITS/module/ddp_utils.py,sha256=p7Xp64qzTe3IAZn2rv999wsVBCIGMTsVVh5fzFxol8I,9033
GPT_SoVITS/module/distrib.py,sha256=a2Ks1p66mttGqaNI6_ttIh3AKw_7V1leeQkK1uW0bug,4044
GPT_SoVITS/module/mel_processing.py,sha256=bLgPX03WYjIrsy2_PNryFA9LZK1OiMAzKOvybKNTixs,5944
GPT_SoVITS/module/models.py,sha256=QKV8AkcYyT-DU0_vdjR2nkTMfcr3VAryZMauaSFgvTs,47334
GPT_SoVITS/module/modules.py,sha256=JCkZNuDzn5nRpN9QQLwpCrZPPRGL5LzRXlxRZOSAKd0,31387
GPT_SoVITS/module/mrte_model.py,sha256=O3tq5OtBOeHgE4wkUWol-VdmQWIzRb5fCskMcDTtCjg,5825
GPT_SoVITS/module/quantize.py,sha256=7ZMI_xc8r28y0yBUo4dXbJ5mTqKvYtFYXMIAYi2eY_I,4456
GPT_SoVITS/module/transforms.py,sha256=y4S-nY7vpni4XboKLFiNoh3nUWsxo6mTvpbCAihJGSk,7208
GPT_SoVITS/pretrained_models/chinese-hubert-base/config.json,sha256=w-UGChJ34PB4zGvp2kUopgXbpuzpMBiYH-LIIOXHsQM,1449
GPT_SoVITS/pretrained_models/chinese-hubert-base/preprocessor_config.json,sha256=3NaEEk0GcilHk51B6mrljb8QloxgoRop8j3cYCxkops,212
GPT_SoVITS/pretrained_models/chinese-roberta-wwm-ext-large/config.json,sha256=PVfeL9foDQ5cj_GU8Lu2uqEN9-Q_wmKgzHEpiniwo-U,963
GPT_SoVITS/pretrained_models/chinese-roberta-wwm-ext-large/tokenizer.json,sha256=FzeWlWgg6ie9FPdr8oFiYH_0JUgH4pSCU-tbRvW7ZDs,268962
GPT_SoVITS/text/__init__.py,sha256=jXLpLj9fho5kJCxoblKGP2m9H8HUw_o42ZTMgvF0v2s,917
GPT_SoVITS/text/cantonese.py,sha256=Kqe4q5A24TygRtlgk6kxsWm61SNH5nNBWGSW7VS3wcM,9450
GPT_SoVITS/text/chinese.py,sha256=pUPl6UGoUGcm0WeMSCImPw6tIPb8j2xBjjfR2w-FN3Y,5949
GPT_SoVITS/text/chinese2.py,sha256=Xrdh0V2rZTyULsjykaN4FjeN0ZN_fV51qbc0nUKBiH0,12866
GPT_SoVITS/text/chinese_bert.py,sha256=wLnkHGPhHfOjyYbVbqvmRbgE0o1tIGNH9qrzVvoK7nQ,14297
GPT_SoVITS/text/cleaner.py,sha256=0Kpg78f_4oX0HMt3VothIGOUznzDXhL8BnqVdf2NHvU,6767
GPT_SoVITS/text/cmudict-fast.rep,sha256=U7_vDyfX3XTRunRWPR4HbT4Gcs41lsstbA1SrJrQH20,3613898
GPT_SoVITS/text/cmudict.rep,sha256=DmAdAX1ub5WEQ9Qc2JIrTNdZizuiBWJToz8-WjXzhJQ,3731285
GPT_SoVITS/text/engdict-hot.rep,sha256=HIBBj-b-XVNzAq5nr9NhJHiZezXyzzfP9S-VntQzSnE,75
GPT_SoVITS/text/engdict_cache.pickle,sha256=m_-Tk_SxkthzoRM178jxJHcQh7bchH00_SQMKEaInSs,5965909
GPT_SoVITS/text/english.py,sha256=8ezyDuiU6ppm20_XdOwKwE_KNM1HiMBGO2LypeetUTE,17423
GPT_SoVITS/text/japanese.py,sha256=A_5E1OYXZLBTnbwgVTqJ_8gJ4-JZjckhhVVq4TJKHh0,16006
GPT_SoVITS/text/jieba_posseg_fast.py,sha256=iKvcMbc391cOGwC3OgzO3EDELqNXPAxu77CYHsLNxes,12258
GPT_SoVITS/text/korean.py,sha256=pQV7eejjUqDb3x4dRRy1z9_WOAxQa_X-FlLoQeGtjbw,16039
GPT_SoVITS/text/namedict_cache.pickle,sha256=VZVSCUxKbplSE-P6WGMw4HjvjLOnqVoxCelFERzSv8E,760663
GPT_SoVITS/text/opencc_s2tw.py,sha256=7-ARKxKfcizqJqPErcMmLEMn8xfy4WlsRRZlDV06K8g,2399
GPT_SoVITS/text/opencpop-strict.txt,sha256=1mu7E4Co6_F9es5b9LRZ83KKRp7qKq6uKus5abiCI_8,4084
GPT_SoVITS/text/phone_units.py,sha256=TGbTAuWtakUZUemKgzN6mc2hj8fZWnvlEMpCXbj-5jw,1853
GPT_SoVITS/text/symbols.py,sha256=wORXZ2HLCiVImSCPSZDW4vu7xZzNi8BudncinLNyHkQ,4508
GPT_SoVITS/text/symbols2.py,sha256=Fg-FeJrmR739HlsV2qg_gdbZA96iLcsTGozZaJThliY,9796
GPT_SoVITS/text/tone_sandhi.py,sha256=tlGpz3qUtmQBEBh2YWqFR5uy-yZqpB-FQjuTcbvkE30,23791
GPT_SoVITS/text/G2PWModel/MONOPHONIC_CHARS.txt,sha256=_n7VMJhkhEGpT0FO1f0zlXidHc65jcHlhEicLUMDa2k,120744
GPT_SoVITS/text/G2PWModel/POLYPHONIC_CHARS.txt,sha256=zH5aPrN34yia9eOmvnUFrBGg0hQi-Az78WEFl5j4Zxs,102444
GPT_SoVITS/text/G2PWModel/config.py,sha256=thVOSUNV0UqNLIo40Hcg93s0R54mqrIaX2NJWukE2nY,347
GPT_SoVITS/text/LangSegmenter/__init__.py,sha256=MlrrdFPTcejjC-v1GTfiiX199ZP_CIM-5F8IASsupCE,41
GPT_SoVITS/text/LangSegmenter/langsegmenter.py,sha256=X5JQ4KdHIAinIeeyDoSKIgVy9y2hLD6rdlHaKv4DUNg,8746
GPT_SoVITS/text/en_normalization/expend.py,sha256=rk3QBnNyw03YeOWEzNdFTH4aioqLixAWck3AzLRN6QM,12145
GPT_SoVITS/text/g2pw/__init__.py,sha256=nZY0A5Ql5CwNeOYyH86T19pi9Gz2otUuMgHi0hxu1jE,29
GPT_SoVITS/text/g2pw/base_api.py,sha256=HtMqZa7lOocsriDMMgq5fh7QpsbILUOZDt7xzkyPPaM,15656
GPT_SoVITS/text/g2pw/compact_pypinyin.py,sha256=ayf8KRbF0K0MWS3J0h8dnkA5rDHPIdFndrYayyNPWKc,1250
GPT_SoVITS/text/g2pw/dataset.py,sha256=it6Eo3N-aW5tCm68hx_4QxwvsPTbNyQ8C4rEcvPEvnw,8429
GPT_SoVITS/text/g2pw/g2pw.py,sha256=s9FYCI9u95EJxnTBTTkO7Fg3n5N2lPdeZw4jy9XNvAM,3357
GPT_SoVITS/text/g2pw/phrase_overrides.pkl,sha256=qEvERt6IaXy0W811AK85snRzarXFkUaSDnL70Vcz52w,221869
GPT_SoVITS/text/g2pw/phrase_overrides_hwxnet_idiom.pkl,sha256=1nCPq9iMoa10sgFbfdMognch2SOsdaY3diYyDcxn1d4,1107689
GPT_SoVITS/text/g2pw/phrase_overrides_zdic_strict.pkl,sha256=vziSav5NEI25e8LkUVyRymjry45bM5RXNqA_FJB86xs,604367
GPT_SoVITS/text/g2pw/polyphonic-fix.rep,sha256=ZESyrUoQcNrZsWx-RycZEKaTSf8Hno2OI2yIGCCbZfQ,1660953
GPT_SoVITS/text/g2pw/polyphonic.pickle,sha256=9CUkYWCjLFeFV80xUc0LuX9fRMOq9l5xjdLDITwE-0s,1322387
GPT_SoVITS/text/g2pw/polyphonic.rep,sha256=qPE-IARwLLvwHi4_6ENtnWIKD-TVcXaoRHBGGf_V314,1391
GPT_SoVITS/text/g2pw/pronunciation.py,sha256=F_e0NMpE1l0bI6RkSGRGY29fMYTkTd3vebwYDv1JgcY,5266
GPT_SoVITS/text/g2pw/torch_api.py,sha256=Vha-VmvrmGxrEC5lFnHiRpYCLeNpeZuXHa8bZ9YFitU,19000
GPT_SoVITS/text/g2pw/utils.py,sha256=aM4wuE1TOFgit5jlAyzFovX1ejIFhq_BZpqQCegvTTc,4828
GPT_SoVITS/text/ja_userdic/userdict.csv,sha256=2FfkQ-5I2WQQloFqmJlmaWAolUEeQzDX2R0dvhEDOJ8,17180971
GPT_SoVITS/text/opencc_s2tw_assets/STCharacters.txt,sha256=cBnHy9lJVqPK4xaJwiiV6JIFYClR3NOiOlNebljp3xg,34353
GPT_SoVITS/text/opencc_s2tw_assets/STPhrases.txt,sha256=jExbcg-Wy4Z6oA7045Z-0QGAxCz4WyEZlipqsAt07Os,1008935
GPT_SoVITS/text/opencc_s2tw_assets/TWVariants.txt,sha256=S06zPmZ-J5ZFVQwD-44Oq5c-XxCMSln_v2DLPQ4SQEA,312
GPT_SoVITS/text/zh_normalization/__init__.py,sha256=YeZ0yZUNHSoiQaOey4e8QXLJsO0DCC7B3AbsjbyvEeU,664
GPT_SoVITS/text/zh_normalization/char_convert.py,sha256=3wZs6OKjOFx_O0dJ8CBJ8v26u_zHbmeERiqZ8DR3lec,66099
GPT_SoVITS/text/zh_normalization/chronology.py,sha256=vYc1eeeZdqqkZXCHkdoTt5_Xvur6aYF0P0OOwY99aAo,3428
GPT_SoVITS/text/zh_normalization/constants.py,sha256=M908voRDRUq1HxL1E9TOS6Q3cJgc0GBeJA9tlCqbZ1s,2329
GPT_SoVITS/text/zh_normalization/num.py,sha256=QD1hO6zJqNki22XdiabsuaKD_08HtbOPZFAFwkOHp-I,9814
GPT_SoVITS/text/zh_normalization/phonecode.py,sha256=2Cecpt3xr48mEZp1tN-7KMfaCtulxR-Af0UDxZ2YFqU,1953
GPT_SoVITS/text/zh_normalization/quantifier.py,sha256=3i0zZ5BqnfGO3PMGmK4obUQcE8CQ-J0fSS_9vg7fk9A,1805
GPT_SoVITS/text/zh_normalization/text_normlization.py,sha256=IBCpDXPQ4DzE-Zwip3Sk4Sf8Oh_lwP3DiwP7O1dUy7M,7663
gpt_sovits_cpufast/__init__.py,sha256=LEhxYkm5bSN8FqEk6U5aLb8AgZbfTQ79Uc0NTEZYaFQ,119
gpt_sovits_cpufast/api.py,sha256=jl8M--3QwIhmgM1U-s-b-6FPJ73ewYr29HMcoAaLBaI,33673
gpt_sovits_cpufast/api_v2.py,sha256=Qf7ya7CB30-Y95tcgJgn-5SwZFpEIsHfFTw8DMgwfh0,19464
gpt_sovits_cpufast/config.py,sha256=yTPImcjjL8Di9-SyZckZ-UczuJGP96QbAx6RCGAJmpM,6870
gpt_sovits_cpufast/launchers.py,sha256=oPGXE9g_myOPL6oi0U_wNUNi1svxmgbGfQEGPi_05pA,911
gpt_sovits_cpufast/runtime.py,sha256=Lk0U0Xuk68aOAhMhw9eoOj1EvMytztLIS3xwj78qKW8,957
gpt_sovits_cpufast/webui.py,sha256=MYlvkl9Yxz-N1EUoHJl6y-lKHbZQXlKhSQvwuUtu-Lw,5774
gpt_sovits_cpufast-0.1.0.dist-info/licenses/LICENSE,sha256=0fgkMQaEbI7JZWgtlUnYNcR_m4kFooIGl1gtGQ1JzyI,1110
jamo/__init__.py,sha256=7p0ndCaqlXjWcktzCeSv6y2T7F9V09dddA5xObm10Fk,2982
tools/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tools/assets.py,sha256=kpyG6nHYfBHVZKUpbCoS_JAyzeH7f3Uts4F4uAfuMQg,2511
tools/audio_utils.py,sha256=A73guulRc5XbIJVTTGHDdoYhIWOk6Jy2ykzXRrbWdAU,8386
tools/my_utils.py,sha256=vElddGpaNAUIEpxyXJHc6lhe0ENeG6dXsaGRn1fh42s,8913
tools/i18n/i18n.py,sha256=1YbXVEq8Vn-e4Uq2jlAXRe7Kfqw1_i8UM6a2wS07MFk,1188
tools/i18n/scan_i18n.py,sha256=dTDn0Lx495Cbogph5mkbaEwMxJycerACWCHaGR5ly7E,5224
tools/i18n/locale/en_US.json,sha256=IJw_PBu3JZA-yEZ0cawNKBvw5hLowAMdKB8pnYm3-0M,19546
tools/i18n/locale/es_ES.json,sha256=hnBzfkqoQdcbGQyJOYy-ez1LF3XJu368bl4G4MLjD9c,21964
tools/i18n/locale/fr_FR.json,sha256=85HvvRU95qKBLCRldnsz3MUbsXq-UQhsThJUlSUguYc,22464
tools/i18n/locale/it_IT.json,sha256=CoYo50VEW3oHFwKPstOHlIljKOJ1XATF-Yhjsyqa4Ds,22061
tools/i18n/locale/ja_JP.json,sha256=i9UiOamrWx7TLzqe8gGg_ZNZrisnWQ1NPfr9brDV3b0,23458
tools/i18n/locale/ko_KR.json,sha256=j9ZyyXt9B2BGIeSGkmdBDkYeYdS99BV-PD6nntexR5I,21265
tools/i18n/locale/pt_BR.json,sha256=6Uhyb6JAURZcjVoskdr-tiys6GbhRtrTnd5GNDSE45o,21895
tools/i18n/locale/ru_RU.json,sha256=QyCb3e84jc_jLVzvPUSxQTosIlDXdAsxbZyLt5u4kXM,29853
tools/i18n/locale/tr_TR.json,sha256=1RTAsDjxB2v-ZbfE2qSByX2bNbSNWiKqucpPMDIOxQ8,20900
tools/i18n/locale/zh_CN.json,sha256=Io-y4Ywr02JxznBdmKQWJ6YDWrqYcT0Xxxy-lvTG4_Q,17691
tools/i18n/locale/zh_HK.json,sha256=f2wFiQX4Q7Jisy4_V7lP8iSTZZ7TnPiejREveSXE7zQ,17816
tools/i18n/locale/zh_SG.json,sha256=6bXwZLQMMkzzaZMYuVxNT5j2UPSbu5iZ6Q7y8sDQykY,17874
tools/i18n/locale/zh_TW.json,sha256=lpSJfIpJ1VloFwBdA9UlVhx2GBb0q9aaTASfZAIrEgs,17817
gpt_sovits_cpufast-0.1.0.dist-info/METADATA,sha256=nz7m416BgoBwXUGyQvxlEGT9rHnL_nDB-eEQkWDwc0o,14929
gpt_sovits_cpufast-0.1.0.dist-info/WHEEL,sha256=YVMoNqKzERt-wjUZwJ33xBGAwnFl-4cqbYkTtWa4itE,91
gpt_sovits_cpufast-0.1.0.dist-info/entry_points.txt,sha256=k1Q3nwNGTllPO456MV4lIN8WydrmuMdWG_heu-iAa8Y,228
gpt_sovits_cpufast-0.1.0.dist-info/top_level.txt,sha256=Tqhzlyg8F1eJJt4-yjXCX6HyCfW6NTjMfxqQd7Ntxsk,65
gpt_sovits_cpufast-0.1.0.dist-info/RECORD,,
