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Running
param fixes; openvoicev2
Browse files
app.py
CHANGED
@@ -35,24 +35,101 @@ AVAILABLE_MODELS = {
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# 'WhisperSpeech': 'whisperspeech',
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# 'ElevenLabs': 'eleven',
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# 'OpenVoice': 'openvoice',
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# '
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# '
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# 'MeloTTS': 'melo',
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# 'StyleTTS 2': 'styletts2',
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#
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'
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# xVASynth (CPU)
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'Pendrokar/xVASynth':
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# CoquiTTS (CPU)
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# TTS w issues
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# 'PolyAI/pheme': '/predict#0', #sleepy HF Space
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@@ -60,7 +137,6 @@ AVAILABLE_MODELS = {
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# 'suno/bark': '3#0', # Hallucinates
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# 'shivammehta25/Matcha-TTS': '5#0', #seems to require multiple requests for setup
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# 'styletts2/styletts2': '0#0', #API disabled
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# 'mrfakename/MelloTTS': '0#0', #API disabled
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# 'Manmay/tortoise-tts': '/predict#0', #Cannot skip text-from-file parameter
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# 'pytorch/Tacotron2': '0#0', #old gradio
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}
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@@ -86,6 +162,10 @@ OVERRIDE_INPUTS = {
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1: 'default', # style
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2: DEFAULT_VOICE_SAMPLE, # voice sample
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},
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'PolyAI/pheme': {
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1: 'YOU1000000044_S0000798', # voice
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2: 210,
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@@ -116,6 +196,11 @@ OVERRIDE_INPUTS = {
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3: None,
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4: 'No',
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},
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}
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SPACE_ID = os.getenv('SPACE_ID')
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@@ -686,43 +771,44 @@ def synthandreturn(text):
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log_text(text)
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print("[debug] Using", mdl1, mdl2)
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def predict_and_update_result(text, model, result_storage):
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try:
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if model in AVAILABLE_MODELS:
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if '/' in model:
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# Use public HF Space
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mdl_space = Client(model, hf_token=hf_token)
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# assume the index is one of the first 9 return params
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return_audio_index = int(
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endpoints = mdl_space.view_api(all_endpoints=True, print_info=False, return_format='dict')
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api_name = None
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fn_index = None
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# has named endpoint
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if '/' ==
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#
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api_name =
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-
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endpoints['named_endpoints'][api_name]['parameters']
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)
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# has unnamed endpoint
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else:
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# endpoint index is the first character
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fn_index = int(
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-
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endpoints['unnamed_endpoints'][str(fn_index)]['parameters']
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)
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space_inputs = _override_params(
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# force text
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space_inputs[
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results = mdl_space.predict(*space_inputs, api_name=api_name, fn_index=fn_index)
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# return path to audio
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print(results)
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result = results[return_audio_index] if (not isinstance(results, str)) else results
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else:
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# Use the private HF Space
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@@ -803,7 +889,7 @@ def synthandreturn(text):
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print(f"Sending models {mdl1k} and {mdl2k} to API")
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thread1 = threading.Thread(target=predict_and_update_result, args=(text, mdl1k, results))
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thread2 = threading.Thread(target=predict_and_update_result, args=(text, mdl2k, results))
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thread1.start()
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thread2.start()
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thread1.join()
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@@ -818,7 +904,7 @@ def synthandreturn(text):
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# print(sr)
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#debug
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# outputs = [text, btn, r2, model1, model2, aud1, aud2, abetter, bbetter, prevmodel1, prevmodel2, nxtroundbtn]
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print(f"Retrieving models {mdl1k} and {mdl2k} from API")
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return (
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text,
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# 'WhisperSpeech': 'whisperspeech',
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# 'ElevenLabs': 'eleven',
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# 'OpenVoice': 'openvoice',
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# 'OpenVoice V2': 'openvoicev2',
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# 'Play.HT 2.0': 'playht',
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# 'MetaVoice': 'metavoice',
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# 'MeloTTS': 'melo',
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# 'StyleTTS 2': 'styletts2',
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# 'GPT-SoVITS': 'sovits',
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# 'Vokan TTS': 'vokan',
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# 'VoiceCraft 2.0': 'voicecraft',
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# 'Parler TTS': 'parler'
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'coqui/xtts': 'coqui/xtts',
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'collabora/WhisperSpeech': 'collabora/WhisperSpeech',
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# 'myshell-ai/OpenVoice': 'myshell-ai/OpenVoice',
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'myshell-ai/OpenVoiceV2': 'myshell-ai/OpenVoiceV2',
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'mrfakename/MetaVoice-1B-v0.1': 'mrfakename/MetaVoice-1B-v0.1',
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'Pendrokar/xVASynth': 'Pendrokar/xVASynth',
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# 'coqui/CoquiTTS': 'coqui/CoquiTTS',
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'LeeSangHoon/HierSpeech_TTS': 'LeeSangHoon/HierSpeech_TTS',
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# TTS w issues
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# 'PolyAI/pheme': '/predict#0', # sleepy HF Space
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# 'amphion/Text-to-Speech': '/predict#0', # old running space, takes a whole minute to synthesize
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# 'suno/bark': '3#0', # Hallucinates
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# 'shivammehta25/Matcha-TTS': '5#0', # seems to require multiple requests for setup
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# 'styletts2/styletts2': '0#0', # API disabled
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# 'Manmay/tortoise-tts': '/predict#0', # Cannot skip text-from-file parameter
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# 'pytorch/Tacotron2': '0#0', # old gradio
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# 'mrfakename/MeloTTS': 'mrfakename/MeloTTS', # old gradio - ValueError: Unsupported protocol: sse_v3
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# 'parler-tts/parler_tts_mini': 'parler-tts/parler_tts_mini', # old gradio - ValueError: Unsupported protocol: sse_v3
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}
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HF_SPACES = {
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# XTTS v2
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'coqui/xtts': {
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'name': 'coqui/xtts',
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'function': '1',
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'text_param_index': 0,
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'return_audio_index': 1,
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},
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# WhisperSpeech
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'collabora/WhisperSpeech': {
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'name': 'collabora/WhisperSpeech',
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'function': '/whisper_speech_demo',
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'text_param_index': 0,
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'return_audio_index': 0,
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},
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# OpenVoice (MyShell.ai)
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'myshell-ai/OpenVoice': {
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'name':'myshell-ai/OpenVoice',
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'function': '1',
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'text_param_index': 0,
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'return_audio_index': 1,
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},
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# OpenVoice v2 (MyShell.ai)
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'myshell-ai/OpenVoiceV2': {
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'name':'myshell-ai/OpenVoiceV2',
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'function': '1',
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'text_param_index': 0,
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'return_audio_index': 1,
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},
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# MetaVoice
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'mrfakename/MetaVoice-1B-v0.1': {
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'name':'mrfakename/MetaVoice-1B-v0.1',
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'function': '/tts',
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'text_param_index': 0,
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'return_audio_index': 0,
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},
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# xVASynth (CPU)
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'Pendrokar/xVASynth': {
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'name': 'Pendrokar/xVASynth',
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'function': '/predict',
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'text_param_index': 0,
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'return_audio_index': 0,
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},
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# CoquiTTS (CPU)
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'coqui/CoquiTTS': {
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'name': 'coqui/CoquiTTS',
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'function': '0',
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'text_param_index': 0,
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'return_audio_index': 0,
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},
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# HierSpeech_TTS
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'LeeSangHoon/HierSpeech_TTS': {
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'name': 'LeeSangHoon/HierSpeech_TTS',
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'function': '/predict',
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'text_param_index': 0,
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'return_audio_index': 0,
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},
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# MeloTTS (MyShell.ai)
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'mrfakename/MeloTTS': {
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'name': 'mrfakename/MeloTTS',
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'function': '/synthesize',
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'text_param_index': 1,
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'return_audio_index': 0,
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},
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# TTS w issues
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# 'PolyAI/pheme': '/predict#0', #sleepy HF Space
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# 'suno/bark': '3#0', # Hallucinates
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# 'shivammehta25/Matcha-TTS': '5#0', #seems to require multiple requests for setup
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# 'styletts2/styletts2': '0#0', #API disabled
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# 'Manmay/tortoise-tts': '/predict#0', #Cannot skip text-from-file parameter
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# 'pytorch/Tacotron2': '0#0', #old gradio
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}
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1: 'default', # style
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2: DEFAULT_VOICE_SAMPLE, # voice sample
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},
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'myshell-ai/OpenVoiceV2': {
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1: 'en_default', # style
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2: DEFAULT_VOICE_SAMPLE, # voice sample
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},
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'PolyAI/pheme': {
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1: 'YOU1000000044_S0000798', # voice
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2: 210,
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3: None,
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4: 'No',
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},
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'mrfakename/MeloTTS': {
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0: 'EN-US', # speaker
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2: 1,
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3: 'EN', # language
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},
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}
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SPACE_ID = os.getenv('SPACE_ID')
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log_text(text)
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print("[debug] Using", mdl1, mdl2)
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def predict_and_update_result(text, model, result_storage):
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print(model)
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try:
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if model in AVAILABLE_MODELS:
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if '/' in model:
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# Use public HF Space
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mdl_space = Client(model, hf_token=hf_token)
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# assume the index is one of the first 9 return params
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return_audio_index = int(HF_SPACES[model]['return_audio_index'])
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endpoints = mdl_space.view_api(all_endpoints=True, print_info=False, return_format='dict')
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api_name = None
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fn_index = None
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end_parameters = None
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# has named endpoint
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if '/' == HF_SPACES[model]['function'][0]:
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# audio sync function name
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api_name = HF_SPACES[model]['function']
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end_parameters = _get_param_examples(
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endpoints['named_endpoints'][api_name]['parameters']
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)
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# has unnamed endpoint
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else:
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# endpoint index is the first character
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fn_index = int(HF_SPACES[model]['function'])
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end_parameters = _get_param_examples(
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endpoints['unnamed_endpoints'][str(fn_index)]['parameters']
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)
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space_inputs = _override_params(end_parameters, model)
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# force text
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space_inputs[HF_SPACES[model]['text_param_index']] = text
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results = mdl_space.predict(*space_inputs, api_name=api_name, fn_index=fn_index)
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# return path to audio
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result = results[return_audio_index] if (not isinstance(results, str)) else results
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else:
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# Use the private HF Space
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print(f"Sending models {mdl1k} and {mdl2k} to API")
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thread1 = threading.Thread(target=predict_and_update_result, args=(text, mdl1k, results))
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thread2 = threading.Thread(target=predict_and_update_result, args=(text, mdl2k, results))
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thread1.start()
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thread2.start()
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thread1.join()
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# print(sr)
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#debug
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# outputs = [text, btn, r2, model1, model2, aud1, aud2, abetter, bbetter, prevmodel1, prevmodel2, nxtroundbtn]
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print(f"Retrieving models {mdl1k} and {mdl2k} from API")
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return (
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text,
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