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live-digital-avatar-gptsovits
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RVC-Boss 2 years ago committed by GitHub
parent 210eb5f236
commit 65b463a787
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1 changed files with 7 additions and 7 deletions
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GPT_SoVITS/inference_webui.py
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@ -324,20 +324,20 @@ def get_first(text):
return text return text
def get_cleaned_text_fianl(text,language): def get_cleaned_text_final(text,language):
if language in {"en","all_zh","all_ja"}: if language in {"en","all_zh","all_ja"}:
phones, word2ph, norm_text = clean_text_inf(text, language) phones, word2ph, norm_text = clean_text_inf(text, language)
elif language in {"zh", "ja","auto"}: elif language in {"zh", "ja","auto"}:
phones, word2ph, norm_text = nonen_clean_text_inf(text, language) phones, word2ph, norm_text = nonen_clean_text_inf(text, language)
return phones, word2ph, norm_text return phones, word2ph, norm_text
def get_bert_final(phones, word2ph, norm_text,language,device): def get_bert_final(phones, word2ph, text,language,device):
if text_language == "en": if text_language == "en":
bert = get_bert_inf(phones, word2ph, norm_text, text_language) bert = get_bert_inf(phones, word2ph, text, language)
elif text_language in {"zh", "ja","auto"}: elif text_language in {"zh", "ja","auto"}:
bert = nonen_get_bert_inf(text, text_language) bert = nonen_get_bert_inf(text, language)
elif text_language == "all_zh": elif text_language == "all_zh":
bert = get_bert_feature(norm_text, word2ph).to(device) bert = get_bert_feature(text, word2ph).to(device)
else: else:
bert = torch.zeros((1024, len(phones))).to(device) bert = torch.zeros((1024, len(phones))).to(device)
return bert return bert
@ -378,7 +378,7 @@ def get_tts_wav(ref_wav_path, prompt_text, prompt_language, text, text_language,
prompt_language = dict_language[prompt_language] prompt_language = dict_language[prompt_language]
text_language = dict_language[text_language] text_language = dict_language[text_language]
phones1, word2ph1, norm_text1=get_cleaned_text_fianl(prompt_text, prompt_language) phones1, word2ph1, norm_text1=get_cleaned_text_final(prompt_text, prompt_language)
if (how_to_cut == i18n("凑四句一切")): if (how_to_cut == i18n("凑四句一切")):
text = cut1(text) text = cut1(text)
@ -402,7 +402,7 @@ def get_tts_wav(ref_wav_path, prompt_text, prompt_language, text, text_language,
continue continue
if (text[-1] not in splits): text += "。" if text_language != "en" else "." if (text[-1] not in splits): text += "。" if text_language != "en" else "."
print(i18n("实际输入的目标文本(每句):"), text) print(i18n("实际输入的目标文本(每句):"), text)
phones2, word2ph2, norm_text2 = get_cleaned_text_fianl(text, text_language) phones2, word2ph2, norm_text2 = get_cleaned_text_final(text, text_language)
bert2 = get_bert_final(phones2, word2ph2, norm_text2, text_language, device).to(dtype) bert2 = get_bert_final(phones2, word2ph2, norm_text2, text_language, device).to(dtype)
bert = torch.cat([bert1, bert2], 1) bert = torch.cat([bert1, bert2], 1)

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