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| class Settings: | |
| APP_VERSION = "0.0.11-dev4" | |
| create_midi = True | |
| create_plot = False | |
| create_audio_chunks = False | |
| hyphenation = True | |
| use_separated_vocal = True | |
| create_karaoke = True | |
| keep_cache = False | |
| input_file_path = "" | |
| output_file_path = "" | |
| processing_audio_path = "" | |
| language = None | |
| format_version = "1.0.0" | |
| # Transcribe | |
| audio_chunk_folder_name = "audio-chunks" | |
| # Whisper | |
| transcriber = "whisper" # whisper | |
| whisper_model = "large-v2" # Multilingual model tiny|base|small|medium|large-v1|large-v2 | |
| # English-only model tiny.en|base.en|small.en|medium.en | |
| whisper_align_model = None # Model for other languages from huggingface.co e.g -> "gigant/romanian-wav2vec2" | |
| whisper_batch_size = 16 # reduce if low on GPU mem | |
| whisper_compute_type = None # change to "int8" if low on GPU mem (may reduce accuracy) | |
| # Pitch | |
| crepe_model_capacity = "full" # tiny|small|medium|large|full | |
| crepe_step_size = 10 # in miliseconds | |
| # Device | |
| pytorch_device = 'cpu' # cpu|cuda | |
| tensorflow_device = 'cpu' # cpu|cuda | |
| force_cpu = False | |
| force_whisper_cpu = False | |
| force_crepe_cpu = False | |