shpSSKrSSKrSSKrSSKrSSKrSSKJrJrJr SSK r SSK J r SSK J r J r Jr SSKJrJrJrJr SSKJrJr SSKJr SS KJr S S S S SSSSSSSSSSS.rSSSSSSSSSS S!S!S"S"S.rS#\S$\S%\S&\\\44S'jrS&\\4S(jr S-S)\S*\\\\ RB4S+\S%\S&\4 S,jjr"g).N)ListOptionalUnion)tqdm) load_audiolog_mel_spectrogram pad_or_trim)DecodingOptionsDecodingResultdecodedetect_language)ModelDimensionsWhisper) transcribe) __version__zhttps://openaipublic.azureedge.net/main/whisper/models/d3dd57d32accea0b295c96e26691aa14d8822fac7d9d27d5dc00b4ca2826dd03/tiny.en.ptzhttps://openaipublic.azureedge.net/main/whisper/models/65147644a518d12f04e32d6f3b26facc3f8dd46e5390956a9424a650c0ce22b9/tiny.ptzhttps://openaipublic.azureedge.net/main/whisper/models/25a8566e1d0c1e2231d1c762132cd20e0f96a85d16145c3a00adf5d1ac670ead/base.en.ptzhttps://openaipublic.azureedge.net/main/whisper/models/ed3a0b6b1c0edf879ad9b11b1af5a0e6ab5db9205f891f668f8b0e6c6326e34e/base.ptzhttps://openaipublic.azureedge.net/main/whisper/models/f953ad0fd29cacd07d5a9eda5624af0f6bcf2258be67c92b79389873d91e0872/small.en.ptzhttps://openaipublic.azureedge.net/main/whisper/models/9ecf779972d90ba49c06d968637d720dd632c55bbf19d441fb42bf17a411e794/small.ptzhttps://openaipublic.azureedge.net/main/whisper/models/d7440d1dc186f76616474e0ff0b3b6b879abc9d1a4926b7adfa41db2d497ab4f/medium.en.ptzhttps://openaipublic.azureedge.net/main/whisper/models/345ae4da62f9b3d59415adc60127b97c714f32e89e936602e85993674d08dcb1/medium.ptzhttps://openaipublic.azureedge.net/main/whisper/models/e4b87e7e0bf463eb8e6956e646f1e277e901512310def2c24bf0e11bd3c28e9a/large-v1.ptzhttps://openaipublic.azureedge.net/main/whisper/models/81f7c96c852ee8fc832187b0132e569d6c3065a3252ed18e56effd0b6a73e524/large-v2.ptzhttps://openaipublic.azureedge.net/main/whisper/models/e5b1a55b89c1367dacf97e3e19bfd829a01529dbfdeefa8caeb59b3f1b81dadb/large-v3.ptzhttps://openaipublic.azureedge.net/main/whisper/models/aff26ae408abcba5fbf8813c21e62b0941638c5f6eebfb145be0c9839262a19a/large-v3-turbo.pt)ztiny.entinyzbase.enbasezsmall.ensmallz medium.enmediumzlarge-v1zlarge-v2zlarge-v3largezlarge-v3-turboturbos%ABzY8J1N>@0{>%R00Bk>$p{7v037`oCl~+#00s#ABzY8bu8Lr0{>%RKn9Fp%m@SkK7Kt=7ytkOs%ABzY8;40c<0{>%RzzG;p*o+Vo09|#PsxSZm00s(ABzY8KQ!870{>%RzyTQH3`Q^yNP!>##QT-?_)10{>%RpeA61k&I|OI3I$65C{;;pbCHh0B{qLQ;+}v00s1ABzY8DmU6=0{>%Rpa?J`kvJ6qF(V^F86#Xh7JUGMK}PABzY8usPae0{>%R7%R7}kK1fFL7w6%<-Pf*t^=N)Qr&0RR9s2ABzY8r9j$a0{>%R7#4sLmoOs{s)o3~84-RPdcFk!JR%R7=D0pU<_bnWW*tkYAhobTNnu$jnkEkXqp)j;w1Tzk)UH3X%SZd&fFZ2fC2yjs9ABzY8gWO1E0{>%R7(9S+Kn!D~%ngiGaR?*L!iJG9p-nab0JQ=-{D1-g00s(ABzY8j^C+e0{>%RARaKHP%t(lGR*)0g!tONPyhe`urlroot in_memoryreturnc ^[R"USS9 URS5Sn[RR U[RR U55n[RR U5(a2[RRU5(d[US35e[RRU5(aq[US5nUR5nSSS5 [R"W5R5U:Xa U(aU$U$[R"US35 [ R"R%U5n[US5n['[)UR+5R-S 55S S SS S 9n URS5n U (dO-UR/U 5 U R1[3U 55 MFSSS5 SSS5 SSS5 [US5R5n[R"U5R5U:wa [S5eU(aU$U$!,(df  GNs=f!,(df  N=f!,(df  N=f!,(df  N=f)NT)exist_ok/z! exists and is not a regular filerbzH exists, but the SHA256 checksum does not match; re-downloading the filewbzContent-LengthPiBi)totalncolsunit unit_scale unit_divisori zeModel has been downloaded but the SHA256 checksum does not not match. Please retry loading the model.)osmakedirssplitpathjoinbasenameexistsisfile RuntimeErroropenreadhashlibsha256 hexdigestwarningswarnurllibrequesturlopenrintinfogetwriteupdatelen) rrrexpected_sha256download_targetf model_bytessourceoutputloopbuffers d/Users/tiagomarins/Projetos/claudeai/copy_bank/venv/lib/python3.13/site-packages/whisper/__init__.py _downloadrL6sKKt$iinR(Oggll4)9)9#)>?O ww~~o&&rww~~o/N/No..OPQQ ww~~o&& /4 (A&&(K) >>+ & 0 0 2o E"+; @ @ MM"##kl     $_d0Kv fkkm''(89:  T* V$ CK(  1L $ -224K~~k",,./A s  $;88?) (  1L0K $ $sI-I*1 J>4J 2AI<:J J* I9< J J  J J J,c<[[R55$)z%Returns the names of available models)list_MODELSkeysrKavailable_modelsrSbs   rRnamedevice download_rootcUc'[RR5(aSOSnUcr[RR [RR S5S5n[RR [R"SU5S5nU[;a[[UX#5n[UnOc[RRU5(a&U(a[US5R5OUnSnO[S US [535eU(a[ R""U5O [US5n[R$S :aS S 0O0n[R&"U4SU0UD6n SSS5 A[)S0W SD6n [+U 5n U R-U S5 UbU R/U5 U R1U5$!,(df  Na=f)a! Load a Whisper ASR model Parameters ---------- name : str one of the official model names listed by `whisper.available_models()`, or path to a model checkpoint containing the model dimensions and the model state_dict. device : Union[str, torch.device] the PyTorch device to put the model into download_root: str path to download the model files; by default, it uses "~/.cache/whisper" in_memory: bool whether to preload the model weights into host memory Returns ------- model : Whisper The Whisper ASR model instance Ncudacpu~z.cacheXDG_CACHE_HOMEwhisperr!zModel z not found; available models = z1.13 weights_onlyT map_locationdimsmodel_state_dictrQ)torchrX is_availabler*r-r. expandusergetenvrOrL_ALIGNMENT_HEADSr1r3r4r2rSioBytesIOrloadrrload_state_dictset_alignment_headsto) rTrUrVrdefaultcheckpoint_filealignment_headsfpkwargs checkpointr_models rK load_modelrsgs6~ ::2244%'',,rww11#6A RYY/?%I9U  w#GDM=L*40   5>$tT*//1DTF9:J:L9M N  (1 ?#d?D6QQ +0+<+<+F.$'BZZBB6B  R   0Z/ 0D DME *%789" !!/2 88F  RQs 4G"" G0)NNF)#r5rfr*r:r8typingrrrraraudiorr r decodingr r r rrrrrrversionrrOrestrboolbytesrLrSrUrsrQrRrKr{sP (( ??NN+" T NT NVPXRVVVSbY (8 27 7G AR=E^L IA 8$)93)9c)9d)9uUCZ7H)9X $s) 26 : : U3 ,- .:: :  :rR