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Stardust·减
2023-09-05 10:19:22 +08:00
committed by GitHub
parent 5b5c79dd16
commit 2857d004d8
1 changed files with 6 additions and 6 deletions
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12
webui.py
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@@ -25,10 +25,8 @@ from text.cleaner import clean_text
import gradio as gr
import webbrowser
net_g = None
def get_text(text, language_str, hps):
norm_text, phone, tone, word2ph = clean_text(text, language_str)
phone, tone, language = cleaned_text_to_sequence(phone, tone, language_str)
@@ -51,9 +49,9 @@ def get_text(text, language_str, hps):
return bert, phone, tone, language
def infer(text, sdp_ratio, noise_scale, noise_scale_w, length_scale, sid):
def infer(text, sdp_ratio, noise_scale, noise_scale_w, length_scale, sid, language):
global net_g
bert, phones, tones, lang_ids = get_text(text, "ZH", hps)
bert, phones, tones, lang_ids = get_text(text, language, hps)
with torch.no_grad():
x_tst=phones.to(device).unsqueeze(0)
tones=tones.to(device).unsqueeze(0)
@@ -67,9 +65,9 @@ def infer(text, sdp_ratio, noise_scale, noise_scale_w, length_scale, sid):
del x_tst, tones, lang_ids, bert, x_tst_lengths, speakers
return audio
def tts_fn(text, speaker, sdp_ratio, noise_scale, noise_scale_w, length_scale):
def tts_fn(text, speaker, sdp_ratio, noise_scale, noise_scale_w, length_scale, language):
with torch.no_grad():
audio = infer(text, sdp_ratio=sdp_ratio, noise_scale=noise_scale, noise_scale_w=noise_scale_w, length_scale=length_scale, sid=speaker)
audio = infer(text, sdp_ratio=sdp_ratio, noise_scale=noise_scale, noise_scale_w=noise_scale_w, length_scale=length_scale, sid=speaker, language=language)
return "Success", (hps.data.sampling_rate, audio)
@@ -107,6 +105,7 @@ if __name__ == "__main__":
speaker_ids = hps.data.spk2id
speakers = list(speaker_ids.keys())
languages = ["ZH","JA"]
with gr.Blocks() as app:
with gr.Row():
with gr.Column():
@@ -117,6 +116,7 @@ if __name__ == "__main__":
noise_scale = gr.Slider(minimum=0.1, maximum=2, value=0.6, step=0.1, label='Noise Scale')
noise_scale_w = gr.Slider(minimum=0.1, maximum=2, value=0.8, step=0.1, label='Noise Scale W')
length_scale = gr.Slider(minimum=0.1, maximum=2, value=1, step=0.1, label='Length Scale')
language = gr.Dropdown(choices=languages, value=languages[0], label='Language')
btn = gr.Button("Generate!", variant="primary")
with gr.Column():
text_output = gr.Textbox(label="Message")