mirror of
https://github.com/DrewThomasson/ebook2audiobook.git
synced 2026-01-13 07:48:02 -05:00
88 lines
3.6 KiB
Python
88 lines
3.6 KiB
Python
import os
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import platform
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version = '25.2.0'
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min_python_version = (3,12)
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max_python_version = (3,12)
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NATIVE = 'native'
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FULL_DOCKER = 'full_docker'
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debug_mode = True
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device_list = ['cpu', 'gpu', 'mps']
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default_device = "cuda"
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python_env_dir = os.path.abspath(os.path.join('.','python_env'))
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requirements_file = os.path.abspath(os.path.join('.','requirements.txt'))
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interface_host = '0.0.0.0'
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interface_port = 7860
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interface_shared_tmp_expire = 3 # in days
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interface_concurrency_limit = 1 # or None for unlimited
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interface_component_options = {
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"gr_tab_preferences": True,
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"gr_group_voice_file": True,
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"gr_group_custom_model": True
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}
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models_dir = os.path.abspath('models')
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ebooks_dir = os.path.abspath('ebooks')
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voices_dir = os.path.abspath('voices')
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tmp_dir = os.path.abspath('tmp')
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tmp_expire = 7 # days
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max_tts_in_memory = 4 # TTS engines to keep in memory
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max_custom_model = 10
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max_custom_voices = 100
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max_upload_size = '6GB'
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audiobooks_gradio_dir = os.path.abspath(os.path.join('audiobooks','gui','gradio'))
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audiobooks_host_dir = os.path.abspath(os.path.join('audiobooks','gui','host'))
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audiobooks_cli_dir = os.path.abspath(os.path.join('audiobooks','cli'))
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ebook_formats = ['.epub', '.mobi', '.azw3', '.fb2', '.lrf', '.rb', '.snb', '.tcr', '.pdf', '.txt', '.rtf', '.doc', '.docx', '.html', '.odt', '.azw']
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voice_formats = ['.mp4', '.m4b', '.mp3', '.wav', '.aac', '.flac', '.alac', '.ogg', '.aiff', '.aif', '.wma', '.dsd', '.opus', '.pcmu', '.pcma', '.gsm'] # Add or remove the format you wish
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output_formats = ['m4b', 'm4a', 'mp4', 'webm', 'mov', 'mp3', 'flac', 'wav', 'ogg', 'aac']
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default_audio_proc_format = 'flac' # or 'wav', 'pcm', 'ieee', 'ogg', 'nist', 'mp3', 'aiff', 'aac', 'wma', 'mp4', 'm4a', 'm4b', 'amr', '3gp', 'webm', 'alac'
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default_output_format = 'm4b' # or 'wav', 'pcm', 'ieee', 'ogg', 'nist', 'mp3', 'aiff', 'aac', 'wma', 'mp4', 'm4a', 'flac', 'amr', '3gp', 'webm', 'alac'
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# to enable_deepspeed, it must be installed manually.
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# conda activate [./python_env | .\python_env]
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# pip install deepspeed
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# conda deactivate
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tts_default_settings = {
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"temperature": 0.6, # Natural variation without sounding robotic
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"length_penalty": 1.2, # Encourages slightly longer phrases
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"num_beams": 4, # More beams improve long-term coherence
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"repetition_penalty": 2.0, # Helps prevent redundant phrasing
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"top_k": 45, # Balanced word diversity
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"top_p": 0.85, # Good tradeoff between diversity and coherence
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"speed": 1.0, # Normal pace
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"enable_text_splitting": True, # Helps with better pacing for long content
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"enable_deepspeed": False,
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"length_scale": 1.0,
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"noise_scale": 0.3
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}
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os.environ['COQUI_TOS_AGREED'] = '1'
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os.environ['PYTHONIOENCODING'] = 'utf-8'
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os.environ['CALIBRE_TEMP_DIR'] = tmp_dir
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os.environ['CALIBRE_CACHE_DIRECTORY'] = tmp_dir
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os.environ['CALIBRE_NO_NATIVE_FILEDIALOGS'] = '1'
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os.environ['DO_NOT_TRACK'] = 'true'
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os.environ['HUGGINGFACE_HUB_CACHE'] = models_dir
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os.environ['TTS_HOME'] = models_dir
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os.environ['HF_HOME'] = models_dir
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os.environ['HF_DATASETS_CACHE'] = models_dir
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os.environ['HF_TOKEN_PATH'] = os.path.join(os.path.expanduser('~'), '.huggingface_token')
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os.environ['TTS_CACHE'] = models_dir
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os.environ['TORCH_HOME'] = models_dir
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os.environ['XDG_CACHE_HOME'] = models_dir
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os.environ["SUNO_OFFLOAD_CPU"] = "True" # BARK option: "False" needs A GPU
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os.environ["SUNO_USE_SMALL_MODELS"] = "True" # "False" needs a GPU with VRAM > 4GB
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if platform.system() == "Windows":
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os.environ["ESPEAK_DATA_PATH"] = os.path.expandvars(r"%USERPROFILE%\scoop\apps\espeak-ng\current\eSpeak NG\espeak-ng-data") |