(HJj ddlmZddlmZmZmZddlmZddl m Z ddl Z ddl mZmZmZdZidddddd d d d d d d d dddddddddddddddddddZde j&dedede j&fdZeeedej.fdeded ej0fd!Z d(d"eeefd#ed$ed%ede j6f d&Z d(d"eeefd#ed$ed%ede j6f d'Zy)))Path)AnyOptionalUnionN)base_load_modelget_model_path load_configi> cohere_asr fireredasr2glmglmasr sensevoicevoxtralvoxtral_realtime vibevoice vibevoice_asr qwen3_asr fun_asr_nanocanary moonshinemmsgranite_speechgranite_speech_nar qwen2_audiomega_asraudioorig_sr target_srreturnc&ddlm}||||dS)Nr)resample_audioaxis)mlx_audio.utilsr!)rrr_resample_audios ]/Users/ahmed/devFolder/claude-voice/.venv/lib/python3.12/site-packages/mlx_audio/stt/utils.pyr!r! sA 5'91 ==Ffilesrdtypecddlm}||d\}}||k7r t|||}tj||j dS)a? Open an audio file and read as mono waveform, resampling as necessary Parameters ---------- file: str The audio file to open sr: int The sample rate to resample the audio if necessary Returns ------- A NumPy array containing the audio waveform, in float32 dtype. r)readT) always_2d)r*r")mlx_audio.audio_ior,r!mxarraymean)r(r) from_stdinr* audio_readr sample_rates r& load_audior6&sM*6#DD9E;buk26 88E ' , ,! , 44r' model_pathlazystrictkwargsc ,td|dt||d|S)a Load and initialize an STT model from a given path. Args: model_path: The path or HuggingFace repo to load the model from. lazy: If False, evaluate model parameters immediately. strict: If True, raise an error if any weights are missing. **kwargs: Additional keyword arguments (revision, force_download). Returns: nn.Module: The loaded and initialized model. stt)r7categorymodel_remappingr8r9)rMODEL_REMAPPINGr7r8r9r:s r& load_modelrBCs/$  '      r'c t|f||d|S)ac Load a speech-to-text model from a local path or HuggingFace repository. This is the main entry point for loading STT models. It automatically detects the model type and initializes the appropriate model class. Args: model_path: The local path or HuggingFace repo ID to load from. lazy: If False, evaluate model parameters immediately. strict: If True, raise an error if any weights are missing. **kwargs: Additional keyword arguments such as `revision` and `force_download`. Returns: nn.Module: The loaded and initialized model. )r8r9)rBrAs r&loadrD_s. j EtF Ef EEr')FF)pathlibrtypingrrrmlx.corecorer0mlx.nnnnnumpynpr$rrr SAMPLE_RATEr@ndarrayintr!strfloat32Dtyper6boolModulerBrDr?r'r&rUs''HH ,= 8,  y  * N h 5&.=  !(>"**>s>s>rzz> jj 5 5 5 88 5>c4i     YY <Fc4i F F F F YY Fr'