[fast_inference] 回退策略,减少padding影响,开放选项,同步代码 (#986)
* Update README * Optimize-English-G2P * docs: change akward expression * docs: update Changelog_KO.md * Fix CN punc in EN,add 's match * Adjust normalize and g2p logic * Update zh_CN.json * Update README (#827) Update README.md Update some outdated file paths and commands * 修复英文多音字,调整字典热加载,新增姓名匹配 (#869) * Fix homograph dict * Add JSON in dict * Adjust hot dict to hot reload * Add English name dict * Adjust get name dict logic * Make API Great Again (#894) * Add zh/jp/en mix * Optimize code readability and formatted output. * Try OGG streaming * Add stream mode arg * Add media type arg * Add cut punc arg * Eliminate punc risk * Update README (#895) * Update README * Update README * update README * update README * fix typo s/Licence /License (#904) * fix reformat cmd (#917) Co-authored-by: starylan <starylan@outlook.com> * Update README.md * Normalize chinese arithmetic operations (#947) * 改变训练和推理时的mask策略,以修复当batch_size>1时,产生的复读现象 * 同步main分支代码,增加“保持随机”选项 * 在colab中运行colab_webui.ipynb发生的uvr5模型缺失问题 (#968) 在colab中使用git下载uvr5模型时报错: fatal: destination path 'uvr5_weights' already exists and is not an empty directory. 通过在下载前将原本从本仓库下载的uvr5_weights文件夹删除可以解决问题。 * [ASR] 修复FasterWhisper遍历输入路径失败 (#956) * remove glob * rename * reset mirror pos * 回退mask策略; 回退pad策略; 在T2SBlock中添加padding_mask,以减少pad的影响; 开放repetition_penalty参数,让用户自行调整重复惩罚的强度; 增加parallel_infer参数,用于开启或关闭并行推理,关闭时与0307版本保持一致; 在webui中增加“保持随机”选项; 同步main分支代码。 * 删除无用注释 --------- Co-authored-by: Lion <drain.daters.0p@icloud.com> Co-authored-by: RVC-Boss <129054828+RVC-Boss@users.noreply.github.com> Co-authored-by: KamioRinn <snowsdream@live.com> Co-authored-by: Pengoose <pengoose_dev@naver.com> Co-authored-by: Yuan-Man <68322456+Yuan-ManX@users.noreply.github.com> Co-authored-by: XXXXRT666 <157766680+XXXXRT666@users.noreply.github.com> Co-authored-by: KamioRinn <63162909+KamioRinn@users.noreply.github.com> Co-authored-by: Lion-Wu <130235128+Lion-Wu@users.noreply.github.com> Co-authored-by: digger yu <digger-yu@outlook.com> Co-authored-by: SapphireLab <36986837+SapphireLab@users.noreply.github.com> Co-authored-by: starylan <starylan@outlook.com> Co-authored-by: shadow01a <141255649+shadow01a@users.noreply.github.com>
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@@ -93,8 +93,11 @@ def inference(text, text_lang,
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text_split_method, batch_size,
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speed_factor, ref_text_free,
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split_bucket,fragment_interval,
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seed,
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seed, keep_random, parallel_infer,
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repetition_penalty
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):
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seed = -1 if keep_random else seed
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actual_seed = seed if seed not in [-1, "", None] else random.randrange(1 << 32)
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inputs={
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"text": text,
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@@ -112,6 +115,8 @@ def inference(text, text_lang,
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"return_fragment":False,
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"fragment_interval":fragment_interval,
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"seed":actual_seed,
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"parallel_infer": parallel_infer,
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"repetition_penalty": repetition_penalty,
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}
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for item in tts_pipeline.run(inputs):
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yield item, actual_seed
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@@ -197,6 +202,7 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app:
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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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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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repetition_penalty = gr.Slider(minimum=0,maximum=2,step=0.05,label=i18n("重复惩罚"),value=1.35,interactive=True)
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with gr.Column():
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how_to_cut = gr.Radio(
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label=i18n("怎么切"),
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@@ -205,8 +211,11 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app:
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interactive=True,
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)
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with gr.Row():
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split_bucket = gr.Checkbox(label=i18n("数据分桶(可能会降低一点计算量,选就对了)"), value=True, interactive=True, show_label=True)
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parallel_infer = gr.Checkbox(label=i18n("并行推理(速度更快,但可能增大复读概率)"), value=True, interactive=True, show_label=True)
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split_bucket = gr.Checkbox(label=i18n("数据分桶(并行推理时会降低一点计算量)"), value=True, interactive=True, show_label=True)
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seed = gr.Number(label=i18n("随机种子"),value=-1)
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keep_random = gr.Checkbox(label=i18n("保持随机"), value=True, interactive=True, show_label=True)
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# with gr.Column():
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output = gr.Audio(label=i18n("输出的语音"))
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with gr.Row():
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@@ -223,7 +232,8 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app:
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how_to_cut, batch_size,
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speed_factor, ref_text_free,
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split_bucket,fragment_interval,
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seed
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seed, keep_random, parallel_infer,
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repetition_penalty
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],
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[output, seed],
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)
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