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0675d4f
1
Parent(s):
addff22
phonemizer max length
Browse files
app.py
CHANGED
@@ -9,6 +9,8 @@ theme = gr.themes.Base(
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)
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voicelist = ['f-us-1', 'f-us-2', 'f-us-3', 'f-us-4', 'm-us-1', 'm-us-2', 'm-us-3', 'm-us-4']
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voices = {}
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# todo: cache computed style, load using pickle
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# if os.path.exists('voices.pkl'):
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# with open('voices.pkl', 'rb') as f:
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@@ -19,20 +21,20 @@ for v in voicelist:
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def synthesize(text, voice):
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if text.strip() == "":
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raise gr.Error("You must enter some text")
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-
if len(text) > 300:
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raise gr.Error("Text must be under 300 characters")
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v = voice.lower()
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return (24000, styletts2importable.inference(text, voices[v], alpha=0.3, beta=0.7, diffusion_steps=7, embedding_scale=1))
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def clsynthesize(text, voice):
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if text.strip() == "":
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raise gr.Error("You must enter some text")
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if
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raise gr.Error("Text must be under 300 characters")
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return (24000, styletts2importable.inference(text, styletts2importable.compute_style(voice), alpha=0.3, beta=0.7, diffusion_steps=20, embedding_scale=1))
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def ljsynthesize(text):
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if text.strip() == "":
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raise gr.Error("You must enter some text")
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if
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raise gr.Error("Text must be under 300 characters")
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noise = torch.randn(1,1,256).to('cuda' if torch.cuda.is_available() else 'cpu')
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return (24000, ljspeechimportable.inference(text, noise, diffusion_steps=7, embedding_scale=1))
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)
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voicelist = ['f-us-1', 'f-us-2', 'f-us-3', 'f-us-4', 'm-us-1', 'm-us-2', 'm-us-3', 'm-us-4']
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voices = {}
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+
import phonemizer
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global_phonemizer = phonemizer.backend.EspeakBackend(language='en-us', preserve_punctuation=True, with_stress=True)
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# todo: cache computed style, load using pickle
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# if os.path.exists('voices.pkl'):
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# with open('voices.pkl', 'rb') as f:
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def synthesize(text, voice):
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if text.strip() == "":
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raise gr.Error("You must enter some text")
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if len(global_phonemizer.phonemize([text])) > 300:
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raise gr.Error("Text must be under 300 characters")
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v = voice.lower()
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return (24000, styletts2importable.inference(text, voices[v], alpha=0.3, beta=0.7, diffusion_steps=7, embedding_scale=1))
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def clsynthesize(text, voice):
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if text.strip() == "":
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raise gr.Error("You must enter some text")
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if global_phonemizer.phonemize([text]) > 300:
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raise gr.Error("Text must be under 300 characters")
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return (24000, styletts2importable.inference(text, styletts2importable.compute_style(voice), alpha=0.3, beta=0.7, diffusion_steps=20, embedding_scale=1))
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def ljsynthesize(text):
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if text.strip() == "":
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raise gr.Error("You must enter some text")
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if global_phonemizer.phonemize([text]) > 300:
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raise gr.Error("Text must be under 300 characters")
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noise = torch.randn(1,1,256).to('cuda' if torch.cuda.is_available() else 'cpu')
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return (24000, ljspeechimportable.inference(text, noise, diffusion_steps=7, embedding_scale=1))
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