Commit
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77cc02b
1
Parent(s):
6cdd8f9
Fix
Browse files
app.py
CHANGED
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@@ -23,7 +23,8 @@ 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(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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@@ -42,13 +43,15 @@ def longsynthesize(text, voice, password, progress=gr.Progress()):
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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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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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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 global_phonemizer.phonemize([text]) > 300:
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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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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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if len(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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