Commit
•
fa0a19e
1
Parent(s):
769b7d2
Update app.py
Browse files
app.py
CHANGED
@@ -46,8 +46,8 @@ for v in voicelist:
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def synthesize(text, voice, lngsteps, password, progress=gr.Progress()):
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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) >
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raise gr.Error("Text must be <
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texts = split_and_recombine_text(text)
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v = voice.lower()
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audios = []
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@@ -80,8 +80,8 @@ def clsynthesize(text, voice, vcsteps, progress=gr.Progress()):
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# return (24000, styletts2importable.inference(text, styletts2importable.compute_style(voice), alpha=0.3, beta=0.7, diffusion_steps=vcsteps, embedding_scale=1))
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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) >
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raise gr.Error("Text must be <
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texts = split_and_recombine_text(text)
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audios = []
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for t in progress.tqdm(texts):
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@@ -97,8 +97,8 @@ def ljsynthesize(text, steps, progress=gr.Progress()):
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# return (24000, ljspeechimportable.inference(text, noise, diffusion_steps=7, embedding_scale=1))
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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) >
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raise gr.Error("Text must be <
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texts = split_and_recombine_text(text)
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audios = []
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for t in progress.tqdm(texts):
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def synthesize(text, voice, lngsteps, password, progress=gr.Progress()):
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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) > 17500:
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raise gr.Error("Text must be <17.5k characters")
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texts = split_and_recombine_text(text)
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v = voice.lower()
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audios = []
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# return (24000, styletts2importable.inference(text, styletts2importable.compute_style(voice), alpha=0.3, beta=0.7, diffusion_steps=vcsteps, embedding_scale=1))
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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) > 17500:
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raise gr.Error("Text must be <17.5k characters")
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texts = split_and_recombine_text(text)
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audios = []
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for t in progress.tqdm(texts):
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# return (24000, ljspeechimportable.inference(text, noise, diffusion_steps=7, embedding_scale=1))
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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) > 17500:
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raise gr.Error("Text must be <17.5k characters")
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texts = split_and_recombine_text(text)
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audios = []
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for t in progress.tqdm(texts):
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