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https://github.com/RVC-Boss/GPT-SoVITS.git
synced 2025-10-07 23:48:48 +08:00
modified: GPT_SoVITS/AR/models/t2s_model.py
modified: GPT_SoVITS/inference_webui.py
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@ -329,7 +329,7 @@ class Text2SemanticDecoder(nn.Module):
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bert_feature,
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top_k: int = -100,
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top_p: int = 100,
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min_p: int = 80,
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min_p: float = 0.0,
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early_stop_num: int = -1,
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temperature: float = 1.0,
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):
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@ -311,7 +311,7 @@ def merge_short_text_in_array(texts, threshold):
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result[len(result) - 1] += text
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return result
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def get_tts_wav(ref_wav_path, prompt_text, prompt_language, text, text_language, how_to_cut=i18n("不切"), top_k=20, min_p=0.8, top_p=1.0, temperature=0.6, ref_free = False):
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def get_tts_wav(ref_wav_path, prompt_text, prompt_language, text, text_language, how_to_cut=i18n("不切"), top_k=20, min_p=0.0, top_p=0.6, temperature=0.6, ref_free = False):
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if prompt_text is None or len(prompt_text) == 0:
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ref_free = True
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t0 = ttime()
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@ -587,7 +587,7 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app:
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with gr.Row():
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gr.Markdown(value=i18n("gpt采样参数(无参考文本时不要太低):"))
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top_k = gr.Slider(minimum=1,maximum=100,step=1,label=i18n("top_k"),value=5,interactive=True)
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min_p = gr.Slider(minimum=0,maximum=1,step=0.05,label=i18n("min_p"),value=0.8,interactive=True)
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min_p = gr.Slider(minimum=0,maximum=1,step=0.05,label=i18n("min_p"),value=0.0,interactive=True)
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top_p = gr.Slider(minimum=0,maximum=1,step=0.05,label=i18n("top_p"),value=1,interactive=True)
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temperature = gr.Slider(minimum=0,maximum=1,step=0.05,label=i18n("temperature"),value=1,interactive=True)
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inference_button = gr.Button(i18n("合成语音"), variant="primary")
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