app/models.py

import os
from gradio_client import handle_file

# Models to enable, only include models that users can vote on
AVAILABLE_MODELS = {
    # 'XTTSv2': 'xtts',
    # 'WhisperSpeech': 'whisperspeech',
    # 'ElevenLabs': 'eleven',
    # 'OpenVoice': 'openvoice',
    # 'OpenVoice V2': 'openvoicev2',
    # 'Play.HT 2.0': 'playht',
    # 'Play.HT 3.0 Mini': 'playht3',
    # 'MetaVoice': 'metavoice',
    # 'MeloTTS': 'melo',
    # 'StyleTTS 2': 'styletts2',
    # 'GPT-SoVITS': 'sovits',
    # 'Vokan TTS': 'vokan',
    # 'VoiceCraft 2.0': 'voicecraft',
    # 'Parler TTS': 'parler',
    # 'Parler TTS Large': 'parlerlarge',
    # 'Fish Speech v1.4': 'fish',

    # HF Gradio Spaces: # <works with gradio version #>
    # '<keyname>':'<Space URL>'
    # gradio version that works with most spaces: 4.29
    # 'coqui/xtts': 'coqui/xtts', # 4.29 4.32; extra_headers error appears for 5.13
    # 'collabora/WhisperSpeech': 'collabora/WhisperSpeech', # 4.32 4.36.1
    # 'myshell-ai/OpenVoice': 'myshell-ai/OpenVoice', # same devs as MeloTTS, which scores higher # 4.29
    # 'myshell-ai/OpenVoiceV2': 'myshell-ai/OpenVoiceV2', # same devs as MeloTTS, which scores higher # 4.29
    # 'mrfakename/MetaVoice-1B-v0.1': 'mrfakename/MetaVoice-1B-v0.1', # 4.29 4.32
    'Pendrokar/xVASynth-TTS': 'Pendrokar/xVASynth-TTS', # 4.29 4.32 4.42.0
    'Pendrokar/xVASynth-TTS/NoDeepMoji': 'Pendrokar/xVASynth-TTS', # 4.29 4.32 4.42.0
    # 'coqui/CoquiTTS': 'coqui/CoquiTTS',
     'mrfakename/MeloTTS': 'mrfakename/MeloTTS', # 4.29 4.32
     'fishaudio/fish-speech-1': 'fishaudio/fish-speech-1', # 4.29 4.32 4.36.1

    # E2 & F5 TTS
    # F5 model
    'mrfakename/E2-F5-TTS': 'mrfakename/E2-F5-TTS', # 5.0
    # E2 model
    # 'mrfakename/E2-F5-TTS/E2': 'mrfakename/E2-F5-TTS', # seems to require multiple requests for setup

    # # Parler
    # Parler Large model
    'parler-tts/parler_tts/large': 'parler-tts/parler_tts', # 4.29 4.32 4.36.1 4.42.0
    # Parler Mini model
    # 'parler-tts/parler_tts': 'parler-tts/parler_tts', # 4.29 4.32 4.36.1 4.42.0
    # 'parler-tts/parler_tts_mini': 'parler-tts/parler_tts_mini', # Mini is the default model of parler_tts
    'parler-tts/parler-tts-expresso': 'parler-tts/parler-tts-expresso', # 4.29 4.32 4.36.1 4.42.0

    # # Microsoft Edge TTS
    # 'innoai/Edge-TTS-Text-to-Speech': 'innoai/Edge-TTS-Text-to-Speech', # API disabled

    # IMS-Toucan
    # 'Flux9665/MassivelyMultilingualTTS': 'Flux9665/MassivelyMultilingualTTS', # 5.1

    # StyleTTS v2
    'Pendrokar/style-tts-2': 'Pendrokar/style-tts-2', #  more votes in OG arena; emotionless

    # StyleTTS Kokoro v0.19
    # 'hexgrad/kokoro': 'hexgrad/Kokoro-TTS',
    # StyleTTS Kokoro v0.23
    # 'hexgrad/Kokoro-TTS/0.23': 'hexgrad/Kokoro-TTS',
    # StyleTTS Kokoro v1.0
    'hexgrad/Kokoro-API': 'hexgrad/kokoro-API',

    # MaskGCT (by Amphion)
    # 'amphion/maskgct': 'amphion/maskgct', # DEMANDS 300 seconds of ZeroGPU!
    'Svngoku/maskgct-audio-lab': 'Svngoku/maskgct-audio-lab', # DEMANDS 300 seconds of ZeroGPU!

    # GPT-SoVITS
    'lj1995/GPT-SoVITS-v2': 'lj1995/GPT-SoVITS-v2',

    # OuteTTS 500M
    # 'OuteAI/OuteTTS-0.2-500M-Demo': 'OuteAI/OuteTTS-0.2-500M-Demo',
    # 'ameerazam08/OuteTTS-0.2-500M-Demo': 'ameerazam08/OuteTTS-0.2-500M-Demo', # ZeroGPU Space
    # OuteTTS 1B
    # 'OuteAI/OuteTTS-0.3-1B-Demo': 'OuteAI/OuteTTS-0.3-1B-Demo',

    # llasa 3b TTS
    'srinivasbilla/llasa-3b-tts': 'srinivasbilla/llasa-3b-tts',

    # Mars5
    # 'CAMB-AI/mars5_space': 'CAMB-AI/mars5_space', # slow inference; Unstable

    # Mars6
    'CAMB-AI/mars6-turbo-demo': 'CAMB-AI/mars6-turbo-demo',

    # HF TTS w issues
    # 'LeeSangHoon/HierSpeech_TTS': 'LeeSangHoon/HierSpeech_TTS', # irresponsive to exclamation marks # 4.29
    # 'PolyAI/pheme': '/predict#0', # sleepy HF Space
    # 'amphion/Text-to-Speech': '/predict#0', # disabled also on original HF space due to poor ratings
    # 'suno/bark': '3#0', # Hallucinates
    # 'shivammehta25/Matcha-TTS': '5#0', # seems to require multiple requests for setup
    # 'Manmay/tortoise-tts': '/predict#0', # Cannot retrieve streamed file; 403
    # 'pytorch/Tacotron2': '0#0', # old gradio
}

HF_SPACES = {
    # XTTS v2
    'coqui/xtts': {
        'name': 'XTTS v2',
        'function': '1',
        'text_param_index': 0,
        'return_audio_index': 1,
        'series': 'XTTS',
    },

    # WhisperSpeech
    'collabora/WhisperSpeech': {
        'name': 'WhisperSpeech',
        'function': '/whisper_speech_demo',
        'text_param_index': 0,
        'return_audio_index': 0,
        'series': 'WhisperSpeech',
        'emoji': '😷', # broken space
    },

    # OpenVoice (MyShell.ai)
    'myshell-ai/OpenVoice': {
        'name':'OpenVoice',
        'function': '1',
        'text_param_index': 0,
        'return_audio_index': 1,
        'series': 'OpenVoice',
    },
    # OpenVoice v2 (MyShell.ai)
    'myshell-ai/OpenVoiceV2': {
        'name':'OpenVoice v2',
        'function': '1',
        'text_param_index': 0,
        'return_audio_index': 1,
        'series': 'OpenVoice',
    },

    # MetaVoice
    'mrfakename/MetaVoice-1B-v0.1': {
        'name':'MetaVoice',
        'function': '/tts',
        'text_param_index': 0,
        'return_audio_index': 0,
        'series': 'MetaVoice-1B',
        'emoji': '😷', # broken space
    },

    # xVASynth (CPU)
    'Pendrokar/xVASynth-TTS': {
        'name': 'xVASynth v3 DeepMoji',
        'function': '/predict',
        'text_param_index': 0,
        'return_audio_index': 0,
        'series': 'xVASynth',
    },
    'Pendrokar/xVASynth-TTS/NoDeepMoji': {
        'name': 'xVASynth v3',
        'function': '/predict',
        'text_param_index': 0,
        'return_audio_index': 0,
        'series': 'xVASynth',
    },

    # CoquiTTS (CPU)
    'coqui/CoquiTTS': {
        'name': 'CoquiTTS',
        'function': '0',
        'text_param_index': 0,
        'return_audio_index': 0,
        'series': 'CoquiTTS',
    },

    # HierSpeech_TTS
    'LeeSangHoon/HierSpeech_TTS': {
        'name': 'HierSpeech++',
        'function': '/predict',
        'text_param_index': 0,
        'return_audio_index': 0,
        'series': 'HierSpeech++',
        'emoji': '😒', # unemotional
    },

    # MeloTTS (MyShell.ai)
    'mrfakename/MeloTTS': {
        'name': 'MeloTTS',
        'function': '/synthesize',
        'text_param_index': 'text',
        'return_audio_index': 0,
        'series': 'MeloTTS',
    },

    # Parler Mini
    'parler-tts/parler_tts': {
        'name': 'Parler Mini',
        'function': '/gen_tts',
        'text_param_index': 0,
        'return_audio_index': 0,
        'is_zero_gpu_space': True,
        'series': 'Parler',
    },
    # Parler Large
    'parler-tts/parler_tts/large': {
        'name': 'Parler Large',
        'function': '/gen_tts',
        'text_param_index': 0,
        'return_audio_index': 0,
        'is_zero_gpu_space': True,
        'series': 'Parler',
    },
    # Parler Mini trained on Expresso dataset
    'parler-tts/parler-tts-expresso': {
        'name': 'Parler Mini Expresso',
        'function': '/gen_tts',
        'text_param_index': 0,
        'return_audio_index': 0,
        'is_zero_gpu_space': True,
        'series': 'Parler',
        # 'emoji': '😃', # overlly jolly voice
    },

    # Microsoft Edge TTS
    'innoai/Edge-TTS-Text-to-Speech': {
        'name': 'Microsoft™ Edge TTS',
        'function': '/predict',
        'text_param_index': 0,
        'return_audio_index': 0,
        'is_closed_source': True,
        'series': 'Edge TTS',
        'emoji': '😑', # api disabled
    },

    # Fish Speech
    'fishaudio/fish-speech-1': {
        'name': 'Fish Speech',
        'function': '/inference_wrapper',
        'text_param_index': 0,
        'return_audio_index': 0,
        'series': 'Fish Speech',
    },

    # F5 TTS
    'mrfakename/E2-F5-TTS': {
        'name': 'F5 TTS',
        'function': '/basic_tts',
        'text_param_index': 'gen_text_input',
        'return_audio_index': 0,
        'is_zero_gpu_space': True,
        'series': 'F5 TTS',
    },

    # E2 TTS TODO: call switch model function
    'mrfakename/E2-F5-TTS/E2': {
        'name': 'E2 TTS',
        'function': '/basic_tts',
        'text_param_index': 'gen_text_input',
        'return_audio_index': 0,
        'is_zero_gpu_space': True,
        'series': 'E2 TTS',
    },

    # IMS-Toucan
    'Flux9665/MassivelyMultilingualTTS': {
        'name': 'IMS-Toucan',
		'function': "/predict",
        'text_param_index': 0,
        'return_audio_index': 0,
        'series': 'IMS-Toucan',
    },

    # IMS-Toucan English non-artificial
    'Flux9665/EnglishToucan': {
        'name': 'IMS-Toucan EN',
		'function': "/predict",
        'text_param_index': 0,
        'return_audio_index': 0,
        'series': 'IMS-Toucan',
        'emoji': '😒', # unemotional
    },

    # StyleTTS v2
    'Pendrokar/style-tts-2': {
        'name': 'StyleTTS v2',
        'function': '/synthesize',
        'text_param_index': 'text',
        'return_audio_index': 0,
        'is_zero_gpu_space': True,
        'series': 'StyleTTS',
        # 'emoji': '😪',
    },

    # StyleTTS Kokoro v0.19
    'hexgrad/kokoro': {
        'name': 'StyleTTS Kokoro v19',
        'function': '/generate',
        'text_param_index': 'text',
        'return_audio_index': 0,
        'is_zero_gpu_space': False,
        'series': 'Kokoro',
    },

    # StyleTTS Kokoro v0.23
    'hexgrad/Kokoro-TTS/0.23': {
        'name': 'StyleTTS Kokoro v23',
        'function': '/multilingual',
        'text_param_index': 'text',
        'return_audio_index': 0,
        'is_zero_gpu_space': True,
        'series': 'Kokoro',
    },

    # StyleTTS Kokoro v1.0
    'hexgrad/Kokoro-API': {
        'name': 'Kokoro v1.0',
        'function': '/predict',
        'text_param_index': 'text',
        'return_audio_index': 0,
        'is_zero_gpu_space': False,
        'series': 'Kokoro',
        'hf_token': os.getenv('KOKORO'), #special
    },

    # MaskGCT (by Amphion)
    'amphion/maskgct': {
        'name': 'MaskGCT',
        'function': '/predict',
        'text_param_index': 1,
        'return_audio_index': 0,
        'is_zero_gpu_space': True,
        'series': 'MaskGCT',
        # 'emoji': '🥵', # requires 300s reserved ZeroGPU!
    },
    'Svngoku/maskgct-audio-lab': {
        'name': 'MaskGCT',
        'function': '/predict',
        'text_param_index': 1,
        'return_audio_index': 0,
        'is_zero_gpu_space': True,
        'series': 'MaskGCT',
        # 'emoji': '🥵', # requires 300s reserved ZeroGPU!
    },

    # GPT-SoVITS v2
    'lj1995/GPT-SoVITS-v2': {
        'name': 'GPT-SoVITS v2',
        'function': '/get_tts_wav',
        'text_param_index': 'text',
        'return_audio_index': 0,
        'is_zero_gpu_space': True,
        'series': 'GPT-SoVITS',
    },

    # OuteTTS v0.2 500M
    'ameerazam08/OuteTTS-0.2-500M-Demo': {
        'name': 'OuteTTS v2 500M',
        'function': '/generate_tts',
        'text_param_index': 0,
        'return_audio_index': 0,
        'is_zero_gpu_space': True,
        'series': 'OuteTTS',
        'emoji': '🥵', # requires 300s reserved ZeroGPU!
    },
    # OuteTTS v0.3 1B
    'OuteAI/OuteTTS-0.3-1B-Demo': {
        'name': 'OuteTTS v3 1B',
        'function': '/generate_tts',
        'text_param_index': 'text',
        'return_audio_index': 0,
        'is_zero_gpu_space': True,
        'series': 'OuteTTS',
        'emoji': '🥵', # requires 300s reserved ZeroGPU!
    },

    # LlaSa 3B
    'srinivasbilla/llasa-3b-tts': {
        'name': 'LLaSA 3B',
        'function': '/infer',
        'text_param_index': 'target_text',
        'return_audio_index': 0,
        'is_zero_gpu_space': True,
        'series': 'llasa 3b',
        # 'emoji': '🥵', # requires 300s reserved ZeroGPU!
    },

    # Mars5
    'CAMB-AI/mars5_space': {
        'name': 'MARS 5',
        'function': '/on_click',
        'text_param_index': 'text',
        'return_audio_index': 0,
        'is_zero_gpu_space': False,
        'series': 'MARS',
    },

    # Mars6
    'CAMB-AI/mars6-turbo-demo': {
        'name': 'MARS 6',
        'function': '/inference',
        'text_param_index': 'text',
        'return_audio_index': 0,
        'is_zero_gpu_space': False,
        'is_closed_source': True,
        'series': 'MARS',
    },
}

# for zero-shot TTS - voice sample used by XTTS (11 seconds)
DEFAULT_VOICE_SAMPLE_STR = 'voice_samples/xtts_sample.wav'
DEFAULT_VOICE_SAMPLE = handle_file(DEFAULT_VOICE_SAMPLE_STR)
DEFAULT_VOICE_TRANSCRIPT = "The Hispaniola was rolling scuppers under in the ocean swell. The booms were tearing at the blocks, the rudder was banging to and fro, and the whole ship creaking, groaning, and jumping like a manufactory."
DEFAULT_VOICE_PROMPT = "female voice; very clear audio"

# Older gradio spaces use unnamed parameters, both types are valid
OVERRIDE_INPUTS = {
    'coqui/xtts': {
        1: 'en',
        2: DEFAULT_VOICE_SAMPLE_STR, # voice sample
        3: None, # mic voice sample
        4: False, #use_mic
        5: False, #cleanup_reference
        6: False, #auto_detect
    },
    'collabora/WhisperSpeech': {
        1: DEFAULT_VOICE_SAMPLE, # voice sample
        2: DEFAULT_VOICE_SAMPLE, # voice sample URL
        3: 14.0, #Tempo - Gradio Slider issue: takes min. rather than value
    },
    'myshell-ai/OpenVoice': {
        1: 'default', # style
        2: 'https://huggingface.co./spaces/myshell-ai/OpenVoiceV2/resolve/main/examples/speaker0.mp3', # voice sample
    },
    'myshell-ai/OpenVoiceV2': {
        1: 'en_us', # style
        2: 'https://huggingface.co./spaces/myshell-ai/OpenVoiceV2/resolve/main/examples/speaker0.mp3', # voice sample
    },
    'PolyAI/pheme': {
        1: 'YOU1000000044_S0000798', # voice
        2: 210,
        3: 0.7, #Tempo - Gradio Slider issue: takes min. rather than value
    },
    'Pendrokar/xVASynth-TTS': {
        1: 'x_ex04', #fine-tuned voice model name
        3: 1.0, #pacing/duration - Gradio Slider issue: takes min. rather than value
    },
    'Pendrokar/xVASynth-TTS/NoDeepMoji': {
        1: 'x_ex02', #fine-tuned voice model name
        3: 1.0, #pacing/duration - Gradio Slider issue: takes min. rather than value
        10: False, #Use DeepMoji
    },
    'suno/bark': {
        1: 'Speaker 3 (en)', # voice
    },
    'amphion/Text-to-Speech': {
        1: 'LikeManyWaters', # voice
    },
    'LeeSangHoon/HierSpeech_TTS': {
        1: handle_file('https://huggingface.co./spaces/LeeSangHoon/HierSpeech_TTS/resolve/main/example/female.wav'), # voice sample
        2: 0.333,
        3: 0.333,
        4: 1,
        5: 1,
        6: 0,
        7: 1111,
    },
    'Manmay/tortoise-tts': {
        1: None, # text-from-file
        2: 'angie', # voice
        3: 'disabled', # second voice for a dialogue
        4: 'No', # split by newline
    },
    'mrfakename/MeloTTS': {
        'speaker': 'EN-Default',	# DEFAULT_VOICE_SAMPLE=EN-Default
        'speed': 1.0,
        'language': 'EN',
    },
    'mrfakename/MetaVoice-1B-v0.1': {
		1: 5,	# float (numeric value between 0.0 and 10.0) in 'Speech Stability - improves text following for a challenging speaker' Slider component
		2: 5,	# float (numeric value between 1.0 and 5.0) in 'Speaker similarity - How closely to match speaker identity and speech style.' Slider component
		3: "Preset voices",	# Literal['Preset voices', 'Upload target voice']  in 'Choose voice' Radio component
		4: "Bria",	# Literal['Bria', 'Alex', 'Jacob']  in 'Preset voices' Dropdown component
		5: None,	# filepath  in 'Upload a clean sample to clone. Sample should contain 1 speaker, be between 30-90 seconds and not contain background noise.' Audio component
    },
    'parler-tts/parler_tts': { # mini
        1: 'Laura; Laura\'s ' + DEFAULT_VOICE_PROMPT, #description / voice prompt
        2: False, #use_large
    },
    'parler-tts/parler_tts/large': {
        1: 'Laura; Laura\'s ' + DEFAULT_VOICE_PROMPT, #description / voice prompt
        2: True, #use_large
    },
    'parler-tts/parler-tts-expresso': {
        1: 'Elisabeth; Elisabeth\'s ' + DEFAULT_VOICE_PROMPT, #description / voice prompt
    },
    'innoai/Edge-TTS-Text-to-Speech': {
        1: 'en-US-EmmaMultilingualNeural - en-US (Female)', # voice
        2: 0, # pace rate
        3: 0, # pitch
    },

    'fishaudio/fish-speech-1': {
        1: False, # normalize
		2: handle_file('https://huggingface.co./spaces/fishaudio/fish-speech-1/resolve/main/examples/English.wav'), # reference_audio
		3: 'In the ancient land of Eldoria, where the skies were painted with shades of mystic hues and the forests whispered secrets of old, there existed a dragon named Zephyros. Unlike the fearsome tales of dragons that plagued human hearts with terror, Zephyros was a creature of wonder and wisdom, revered by all who knew of his existence.', # reference_text
		4: 0, # max_new_tokens
		5: 200, # chunk_length
		6: 0.7, # top_p
		7: 1.2, # repetition_penalty
		8: 0.7, # temperature
		9: 0, #seed
		10: "never", #use_memory_cache
    },

    # F5
    'mrfakename/E2-F5-TTS': {
        'ref_audio_input': handle_file('voice_samples/EN_B00004_S00051_W000213.mp3'),
        'ref_text_input': 'Our model manager is Graham, whom we observed leading a small team of chemical engineers within a multinational European firm we\'ll call Kruger Bern.',
        'remove_silence': False,
        'cross_fade_duration_slider': 0.15,
        'nfe_slider': 32,
        'speed_slider': 1,
    },

    # E2 TODO: call switch model
    'mrfakename/E2-F5-TTS/E2': {
        'ref_audio_input': handle_file('voice_samples/EN_B00004_S00051_W000213.mp3'),
        'ref_text_input': 'Our model manager is Graham, whom we observed leading a small team of chemical engineers within a multinational European firm we\'ll call Kruger Bern.',
        'remove_silence': False,
        'cross_fade_duration_slider': 0.15,
        'nfe_slider': 32,
        'speed_slider': 1,
    },

    # IMS-Toucan
    'Flux9665/MassivelyMultilingualTTS': {
		1: "English (eng)", #language
		2: 0.6, #prosody_creativity
		3: 1, #duration_scaling_factor
		4: 41, #voice_seed
		5: -7.5, #emb1
		6: None, #reference_audio
    },

    # StyleTTS 2
    'Pendrokar/style-tts-2': {
        'voice': "f-us-2",
        'lang': 'en-us',
        'lngsteps': 8,
    },

    # StyleTTS 2 Kokoro v0.19
    'hexgrad/kokoro': {
		'voice': "af",
		'ps': None,
		'speed': 1,
		'trim': 0.5,
		'use_gpu': False, # fast enough with multithreaded CPU
        'sk': os.getenv('KOKORO'),
    },

    # StyleTTS 2 Kokoro v0.23
    'hexgrad/Kokoro-TTS/0.23': {
		'voice': "af",
		'speed': 1,
		'trim': 0.5,
        'sk': os.getenv('KOKORO'),
    },

    # StyleTTS 2 Kokoro v1.0
    'hexgrad/Kokoro-API': {
		'voice': "af_heart",
		'speed': 1,
    },

    # maskGCT (by amphion)
    'amphion/maskgct': {
        0: DEFAULT_VOICE_SAMPLE, #prompt_wav
		2: -1, #target_len
		3: 25, #n_timesteps
    },
    'Svngoku/maskgct-audio-lab': {
        0: DEFAULT_VOICE_SAMPLE, #prompt_wav
		2: -1, #target_len
		3: 25, #n_timesteps
    },
    'lj1995/GPT-SoVITS-v2': {
        'ref_wav_path': handle_file('voice_samples/EN_B00004_S00051_W000213.wav'),
        'prompt_text': "Our model manager is Graham, whom we observed leading a small team of chemical engineers within a multinational European firm we'll call",
        'prompt_language': "English",
        # text: "Please surprise me and speak in whatever voice you enjoy.",
        'text_language': "English",
        'how_to_cut': "No slice",
        'top_k': 15,
        'top_p': 1,
        'temperature': 1,
        'ref_free': False,
        'speed': 1,
        'if_freeze': False,
        'inp_refs': None,
    },
    'ameerazam08/OuteTTS-0.2-500M-Demo': {
        1: 0.1, # temperature
        2: 1.1, # repetition_penalty
        3: "en", # language
        4: "female_1", # speaker_selection
        5: None, # reference_audio
        6: None, # reference_text
    },
    'OuteAI/OuteTTS-0.3-1B-Demo': {
		'temperature': 0.1,
		'repetition_penalty': 1.1,
		'speaker_selection': "en_female_1",
		'reference_audio': None,
    },
    'srinivasbilla/llasa-3b-tts': {
		'sample_audio_path': handle_file('voice_samples/EN_B00004_S00051_W000213.mp3')
    },

    # MARS 5
    'CAMB-AI/mars5_space': {
        'audio_file': DEFAULT_VOICE_SAMPLE,
		'prompt_text': DEFAULT_VOICE_TRANSCRIPT,
		'temperature': 0.8,
		'top_k': -1,
		'top_p': 0.2,
		'typical_p': 1,
		'freq_penalty': 2.6,
		'presence_penalty': 0.4,
		'rep_penalty_window': 100,
		'nar_guidance_w': 3,
		'deep_clone': True, # too slow for deep clone
    },

    # MARS 6
    'CAMB-AI/mars6-turbo-demo': {
        'reference_audio': DEFAULT_VOICE_SAMPLE,
		'reference_text': DEFAULT_VOICE_TRANSCRIPT,
		'ras_K': 10,
		'ras_t_r': 0.09,
		'top_p': 0.2,
		'quality_prefix': "48000",
		'clone_method': "deep-clone",
    },
}


# Model name mapping, can include models that users cannot vote on
model_names = {
    'styletts2': 'StyleTTS 2',
    'tacotron': 'Tacotron',
    'tacotronph': 'Tacotron Phoneme',
    'tacotrondca': 'Tacotron DCA',
    'speedyspeech': 'Speedy Speech',
    'overflow': 'Overflow TTS',
    'vits': 'VITS',
    'vitsneon': 'VITS Neon',
    'neuralhmm': 'Neural HMM',
    'glow': 'Glow TTS',
    'fastpitch': 'FastPitch',
    'jenny': 'Jenny',
    'tortoise': 'Tortoise TTS',
    'xtts2': 'Coqui XTTSv2',
    'xtts': 'Coqui XTTS',
    'openvoice': 'MyShell OpenVoice',
    'elevenlabs': 'ElevenLabs',
    'openai': 'OpenAI',
    'hierspeech': 'HierSpeech++',
    'pheme': 'PolyAI Pheme',
    'speecht5': 'SpeechT5',
    'metavoice': 'MetaVoice-1B',
}

model_links = {
    'ElevenLabs': 'https://elevenlabs.io/',
    'Play.HT 2.0': 'https://play.ht/',
    'Play.HT 3.0 Mini': 'https://play.ht/',
    'XTTSv2': 'https://huggingface.co./coqui/XTTS-v2',
    'MeloTTS': 'https://github.com/myshell-ai/MeloTTS',
    'StyleTTS 2': 'https://github.com/yl4579/StyleTTS2',
    'Parler TTS Large': 'https://github.com/huggingface/parler-tts',
    'Parler TTS': 'https://github.com/huggingface/parler-tts',
    'Fish Speech v1.5': 'https://github.com/fishaudio/fish-speech',
    'Fish Speech v1.4': 'https://github.com/fishaudio/fish-speech',
    'GPT-SoVITS': 'https://github.com/RVC-Boss/GPT-SoVITS',
    'WhisperSpeech': 'https://github.com/WhisperSpeech/WhisperSpeech',
    'VoiceCraft 2.0': 'https://github.com/jasonppy/VoiceCraft',
    'PlayDialog': 'https://play.ht/',
    'Kokoro v0.19': 'https://huggingface.co./hexgrad/Kokoro-82M',
    'CosyVoice 2.0': 'https://github.com/FunAudioLLM/CosyVoice',
    'MetaVoice': 'https://github.com/metavoiceio/metavoice-src',
    'OpenVoice': 'https://github.com/myshell-ai/OpenVoice',
    'OpenVoice V2': 'https://github.com/myshell-ai/OpenVoice',
    'Pheme': 'https://github.com/PolyAI-LDN/pheme',
    'Vokan TTS': 'https://huggingface.co./ShoukanLabs/Vokan',
}

closed_source = [
    'ElevenLabs',
    'Play.HT 2.0',
    'Play.HT 3.0 Mini',
    'PlayDialog',
]

def make_link_to_space(model_name, for_leaderboard=False):
    # create a anchor link if a HF space
    style = 'text-decoration: underline;text-decoration-style: dotted;'
    title = ''

    if model_name in AVAILABLE_MODELS:
        style += 'color: var(--link-text-color);'
        if '/' in model_name:
            title += model_name
    else:
        style += 'font-style: italic;'
        title += model_name +'; Disabled (See AVAILABLE_MODELS within code for why)'

    model_basename = model_name
    if model_name in HF_SPACES:
        model_basename = HF_SPACES[model_name]['name']

    try:
        if(
            for_leaderboard
            and HF_SPACES[model_name]['is_closed_source']
        ):
            model_basename += ' 🔐'
            title += '; 🔐 = online only or proprietary'
    except:
        pass


    if '/' in model_name:
        space_link = 'https://huggingface.co./spaces/'
        try:
            space_link += AVAILABLE_MODELS[model_name]
        except:
            space_link += model_name
            pass

        emoji = '🤗' # HF
        try:
            emoji = HF_SPACES[model_name]['emoji']
        except:
            pass
        return emoji +' <a target="_blank" style="'+ style +'" title="'+ title +'" href="'+ space_link +'">'+ model_basename +'</a>'

    # otherwise just return without emoji
    return '<span style="'+ style +'" title="'+ title +'" href="'+ space_link +'">'+ model_name +'</span>'

def markdown_link_to_space(model_name):
    # create a anchor link if a HF space using markdown syntax
    if '/' in model_name:
        return '🤗 [' + model_name + '](https://huggingface.co./spaces/' + model_name + ')'
    # otherwise just return the model name
    return model_name