+ i\in?&^RIt^RIt^RIt^RIt^RIHtHtHt^RIH t ^RI H t ^RI t^RIt^RIHt^RIHt^RIHt^RIHtRRRlltRR R lltR R ltRR RlltRRRlltRRltRRRlltRt Rt!]"R8Xd ]!!4R#R#)N)OptionalTupleUnion)sliding_window_view)resample) AudioPlayer) load_modelc tV^8dQhR\R\R\R\R\R\P/#) audio_path sample_ratelengthvolume_normalizesegment_durationreturn)strintboolmxarray)formats"n/Users/agent/.cache/uv/archive-v0/6ZL4-8mCcRNgGE9wi6M6J/lib/python3.14/site-packages/mlx_audio/tts/generate.py __annotate__rsH&&&& & &  & XX &c \P!V4wrVVPp\V4^8d"VP ^R7pWW^,, pW8wdH\ RV RV 24VP^,V, p\ W,4p \WY4pVe\ W,4p \WZ4pV'd \V4pVe\VP^,V, 4R8gQhVP^,V8dVRVpM9\P!V^\ W%P^,, 434p\P!V\PR7p V #)axiszResampling from z to Ni)dtype)sfreadshapelensumprintrrrandom_select_audio_segmentaudio_volume_normalizeabsnppadrrfloat32) r r rrrsamplesorig_sample_rater"duration num_samples seg_lengthaudios &&&&& r load_audior2s?!# 3G MME 5zA~++1+%!H$&  !1 2${mDE==#&66(01 70#78 -gB(1 7==#f,-444 == f $gv&GffWq#f}}Q7G.G*H&IJG HHWBJJ /E LrcdV^8dQhR\PR\R\P/#)r r1coeffr)r)ndarrayfloat)rs"rrr;s)(("**(U(RZZ(rc8\P!\P!V44pVR,R8d#\VR,R4pW, R,pW"R8,pVP^,pV^ 8:dV#\P !V\ RV,4\ RV,44pV\P!W, R^ R7,p\P!\P!V44pV^8d W, pV#)z Normalize the volume of an audio signal. Parameters: audio (numpy array): Input audio signal array. coeff (float): Target coefficient for normalization, default is 0.2. Returns: numpy array: The volume-normalized audio signal. 皙?gMbP?{Gz??gGz?)a_mina_max)r)sortr(maxr"meanrclip)r1r4tempscaling_factorLvolume max_values&& rr'r';s 77266%= !D Bx#~ Hd &, t D 1 A Bw WWT#cAg,TAX7 8F BGGEN#R@ @Ervve}%I1}! LrcdV^8dQhR\PR\R\P/#)r r1rr)r)r5r)rs"rrrfs) ( (rzz (3 (2:: (rc ,VP^,V8d:\P!V^\WP^,, 434p\P !^VP^,V, 4p\W!,4pWV#)zget an audio segment given the length Args: audio (np.ndarray): length (int): audio length = sampling_rate * duration )r"r)r*rrandomrandint)r1r start_index end_indexs&& rr&r&fsn {{1~uq#f{{1~&=">?@..EKKNV$;\W!,4pWE,pV^ ,p\W4RRV1,p\P!\P!V^,^R74p W8p \P !V 4'g \ R4h\^\P!V 4V,V, 4p \\V4\V 4^, \P!V RRR1,4, V,V,4p W3#)aDetect the start and end points of speech in an audio signal using RMS energy. Args: wav: Input audio signal array with values in [-1, 1] sample_rate: Audio sample rate in Hz window_duration: Duration of detection window in seconds energy_threshold: RMS energy threshold for speech detection margin_factor: Factor to determine extra margin around detected boundaries Returns: tuple: (start_index, end_index) of speech segment Raises: ValueError: If the audio contains only silence Nrz*No speech detected in audio (only silence)r=) rrr)sqrtr@any ValueErrorr?argmaxminr#) rNr rOrPrQ window_sizemargin step_sizewindowsenergy speech_maskstartends &&&&& rdetect_speech_boundariesr`us,o34K  (Fr!I"#3KiK@GWWRWWWaZa0 1F,K 66+  EFF 299[)I5> ?E  C [ A  +dd*; < < IFR C :rc |V^8dQhR\PR\R\R\R\P/#)r rNr rOvolume_thresholdr)r)r5rr6)rs"rrrsB   ZZ rc&\WW#4wrEWV#)aRemove silence from both ends of an audio signal. Args: wav: Input audio signal array sample_rate: Audio sample rate in Hz window_duration: Duration of detection window in seconds volume_threshold: Amplitude threshold for silence detection Returns: np.ndarray: Audio signal with silence removed from both ends Raises: ValueError: If the audio contains only silence )r`)rNr rOrbr^r_s&&&& rremove_silence_on_both_endsrds!(* /JE S>rc0V^8dQhR\R\/#)r pitchr)r6)rs"rrrs   % rc\R\P!^VR, ,4,pV#)z Converts a frequency from the Hertz scale to the Mel scale. Parameters: - pitch: float or ndarray Frequency in Hertz. 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Parameters: - text (str): The input text to be converted to speech. - model (str): The TTS model to use. - voice (str): The voice style to use. - temperature (float): The temperature for the model. - speed (float): Playback speed multiplier. - lang_code (str): The language code. - ref_audio (mx.array): Reference audio you would like to clone the voice from. - ref_text (str): Caption for reference audio. - stt_model_path (str): A mlx whisper model to use to transcribe. - file_prefix (str): The output file path without extension. - audio_format (str): Output audio format (e.g., "wav", "flac"). - join_audio (bool): Whether to join multiple audio files into one. - play (bool): Whether to play the generated audio. - verbose (bool): Whether to print status messages. - model (object): A already loaded model. - stt_model (object): A already loaded stt model. Returns: - None: The function writes the generated audio to a file. Nz.Model path or model instance must be provided.zISTT model path or model instance must be provided when ref_text is given.) model_pathz Reference audio file not found: F model_typesparkT)r rruz-Ref_text not found. Transcribing ref_audio...)Model)path_or_hf_repozRef_text: )r zText: z Voice: z Speed: zx Language: rlrorprqrtrrrsr|rnr{r}r~._03du0✅ Audio successfully generated and saving as: z ==========zDuration: zSamples/sec: zsamples-per-secz.1fzPrompt: z tokens, ztokens-per-secz tokens-per-seczAudio: r,z samples, z samples-per-seczReal-time factor: z.2fxzProcessing time: szPeak memory usage: GBzJoining z audio filesrzImport error: zIThis might be due to incorrect Python path. Check your project structure.zError loading model: ).rU isinstancerr ospathexistsFileNotFoundErrorhasattrrr2r inspect signaturegenerate parametersr%mlx_audio.stt.models.whisperrfrom_pretrainedrlr clear_cacherdict enumerate queue_audior1appendr writeaudio_duration audio_samples token_countpromptreal_time_factorprocessing_time_secondspeak_memory_usager# concatenatewait_for_drainstop ImportError Exception traceback print_exc)!rlrmrnrorprqrrrsrtrurvrwrxryrzr{r|r}r~kwargs normalizerWhisperplayer gen_kwargsresults audio_list file_nameiresultr1ers!&&&&&&&&&&&&&&&&&&&, rgenerate_audiorsZA~~v =MN N  )0@[  eS ! !%0E 977>>),,'*J9+(VWWIul++0@0@G0K "'8'89I!2!25>>!B!M!MMIJM&i55 // /J& )11)<AAH!NN$5hZ@A@D):):; #D6*%%*G,%%*G,((1{ 4             " $ "    2  "...:. "m1\N3 "7+IAv""6<<0!!&,,/*m1QsG1\NC FLL&2D2DEH TUwl#/0E0E/FGH-f.B.BCT.UVY-Z[-f.@.@-A6==YiKjknJoo~-f.B.B9.M-NjY_YmYmnZABEYFFVW/0G0G/LANO/0N0Ns/SSTUV/0H0H/MRPQ5,8 fZ 1>?NN:A6E HH-q/!!  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Higher = better quality, slower (try 30-50).z--speed?zSpeed of the audioz--gendermalez"Gender of the voice [male, female]z--pitchzPitch of the voicez --lang_codeenz Language codez --file_prefixr1zOutput file name prefixz --verbose store_truezPrint verbose output)actionrz --join_audiozJoin all audio files into onez--playzPlay the output audioz--audio_formatrNzOutput audio formatz --ref_audiozPath to reference audioz --ref_textzCaption for reference audioz --stt_model$mlx-community/whisper-large-v3-turboz.STT model to use to transcribe reference audioz --temperatureffffff?zTemperature for the modelz--top_pr:zTop-p for the modelz--top_kzTop-k for the modelz--repetition_penaltyg?z Repetition penalty for the modelz--streamz8Stream the audio as segments instead of saving to a filez--streaming_interval@z3The time interval in seconds for streaming segmentsz"Please enter the text to generate:z> )argparseArgumentParser add_argumentrrr6 parse_argsrlsysstdinisattyr!stripr%input)parserargss rrr}s\  $ $1V WF   +     3     @    T M   0     W     U   sAUV f3W  sAUV  COT c79R  L?UV |2Q ST   /    G    B     D yyyy!! (..0DI K 6 7d ))+DI KrcB\4p\R/\V4BR#)Nr)rrvars)rs rmainrs rsw ))7!%&R(V (*Z4  nbeP!  zFr