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feat(i18n): Add missing UI translation strings

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Arcitec 2025-09-08 13:08:36 +02:00
parent 55b7d32149
commit 5f0b0a9f9c
3 changed files with 8 additions and 4 deletions
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2
tools/i18n/locale/en_US.json
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@ -37,6 +37,8 @@
"情感控制方式": "Emotion control method",
"GPT2 采样设置": "GPT-2 Sampling Configuration",
"参数会影响音频多样性和生成速度详见": "Influence both the diversity of the generated audio and the generation speed. For further details, refer to",
"是否进行采样": "Enable GPT-2 sampling",
"生成Token最大数量，过小导致音频被截断": "Maximum number of tokens to generate. If text exceeds this, the audio will be cut off.",
"请上传情感参考音频": "Please upload emotion reference audio",
"当前模型版本": "Current model version ",
"请输入目标文本": "Please input text to synthesize",

4
tools/i18n/locale/zh_CN.json
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@ -36,5 +36,7 @@
"Token数": "Token数",
"情感控制方式": "情感控制方式",
"GPT2 采样设置": "GPT2 采样设置",
"参数会影响音频多样性和生成速度详见": "参数会影响音频多样性和生成速度详见"
"参数会影响音频多样性和生成速度详见": "参数会影响音频多样性和生成速度详见",
"是否进行采样": "是否进行采样",
"生成Token最大数量，过小导致音频被截断": "生成Token最大数量，过小导致音频被截断"
}

6
webui.py
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@ -209,9 +209,9 @@ with gr.Blocks(title="IndexTTS Demo") as demo:
with gr.Accordion(i18n("高级生成参数设置"), open=False):
with gr.Row():
with gr.Column(scale=1):
gr.Markdown(f"**{i18n('GPT2 采样设置')}** _{i18n('参数会影响音频多样性和生成速度详见')}[Generation strategies](https://huggingface.co/docs/transformers/main/en/generation_strategies)_")
gr.Markdown(f"**{i18n('GPT2 采样设置')}** _{i18n('参数会影响音频多样性和生成速度详见')} [Generation strategies](https://huggingface.co/docs/transformers/main/en/generation_strategies)._")
with gr.Row():
do_sample = gr.Checkbox(label="do_sample", value=True, info="是否进行采样")
do_sample = gr.Checkbox(label="do_sample", value=True, info=i18n("是否进行采样"))
temperature = gr.Slider(label="temperature", minimum=0.1, maximum=2.0, value=0.8, step=0.1)
with gr.Row():
top_p = gr.Slider(label="top_p", minimum=0.0, maximum=1.0, value=0.8, step=0.01)
@ -220,7 +220,7 @@ with gr.Blocks(title="IndexTTS Demo") as demo:
with gr.Row():
repetition_penalty = gr.Number(label="repetition_penalty", precision=None, value=10.0, minimum=0.1, maximum=20.0, step=0.1)
length_penalty = gr.Number(label="length_penalty", precision=None, value=0.0, minimum=-2.0, maximum=2.0, step=0.1)
max_mel_tokens = gr.Slider(label="max_mel_tokens", value=1500, minimum=50, maximum=tts.cfg.gpt.max_mel_tokens, step=10, info="生成Token最大数量，过小导致音频被截断", key="max_mel_tokens")
max_mel_tokens = gr.Slider(label="max_mel_tokens", value=1500, minimum=50, maximum=tts.cfg.gpt.max_mel_tokens, step=10, info=i18n("生成Token最大数量，过小导致音频被截断"), key="max_mel_tokens")
# with gr.Row():
# typical_sampling = gr.Checkbox(label="typical_sampling", value=False, info="不建议使用")
# typical_mass = gr.Slider(label="typical_mass", value=0.9, minimum=0.0, maximum=1.0, step=0.1)