mirror of
https://github.com/RVC-Boss/GPT-SoVITS.git
synced 2025-04-05 19:41:56 +08:00
301 lines
18 KiB
Python
301 lines
18 KiB
Python
import gradio as gr
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from tools.i18n.i18n import I18nAuto
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i18n = I18nAuto()
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# 校验基础信息
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def check_base_info(text_work_space_dir, text_character):
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if text_work_space_dir is None or text_work_space_dir == '':
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raise Exception(i18n("工作目录不能为空"))
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if text_character is None or text_character == '':
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raise Exception(i18n("角色名称不能为空"))
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# 从list文件，提取参考音频
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def convert_from_list(text_work_space_dir, text_character, text_list_input):
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text_convert_from_list_info = "转换成功：生成目录XXX"
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text_sample_dir = "D：//tt"
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try:
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check_base_info(text_work_space_dir, text_character)
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if text_list_input is None or text_list_input == '':
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raise Exception(i18n("list文件路径不能为空"))
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pass
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except Exception as e:
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text_convert_from_list_info = f"发生异常：{e}"
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text_sample_dir = ''
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return [text_convert_from_list_info, text_sample_dir]
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# 基于一个基准音频，从参考音频目录中进行分段抽样
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def sample(text_work_space_dir, text_character, text_sample_dir, text_base_voice_path,
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text_subsection_num, text_sample_num, checkbox_similarity_output):
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text_sample_info = "抽样成功：生成目录XXX"
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ref_audio_dir = "D：//tt"
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try:
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check_base_info(text_work_space_dir, text_character)
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if text_sample_dir is None or text_sample_dir == '':
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raise Exception(i18n("参考音频抽样目录不能为空，请先完成上一步操作"))
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if text_base_voice_path is None or text_base_voice_path == '':
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raise Exception(i18n("基准音频路径不能为空"))
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if text_subsection_num is None or text_subsection_num == '':
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raise Exception(i18n("分段数不能为空"))
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if text_sample_num is None or text_sample_num == '':
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raise Exception(i18n("每段随机抽样个数不能为空"))
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pass
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except Exception as e:
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text_sample_info = f"发生异常：{e}"
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ref_audio_dir = ''
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text_model_inference_voice_dir = ref_audio_dir
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text_sync_ref_audio_dir = ref_audio_dir
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text_sync_ref_audio_dir2 = ref_audio_dir
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return [text_sample_info, text_model_inference_voice_dir, text_sync_ref_audio_dir,
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text_sync_ref_audio_dir2]
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# 根据参考音频和测试文本，执行批量推理
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def model_inference(text_work_space_dir, text_character, text_model_inference_voice_dir, text_url,
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text_text, text_ref_path, text_ref_text, text_emotion,
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text_test_content):
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text_model_inference_info = "推理成功：生成目录XXX"
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text_asr_audio_dir = "D：//tt"
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try:
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check_base_info(text_work_space_dir, text_character)
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if text_model_inference_voice_dir is None or text_model_inference_voice_dir == '':
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raise Exception(i18n("待推理的参考音频所在目录不能为空，请先完成上一步操作"))
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if text_url is None or text_url == '':
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raise Exception(i18n("推理服务请求地址不能为空"))
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if text_text is None or text_text == '':
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raise Exception(i18n("文本参数名不能为空"))
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if text_test_content is None or text_test_content == '':
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raise Exception(i18n("待推理文本路径不能为空"))
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if (text_ref_path is None or text_ref_path == '') and (text_ref_text is None or text_ref_text == '') and (text_emotion is None or text_emotion == ''):
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raise Exception(i18n("参考音频路径/文本和角色情绪二选一填写，不能全部为空"))
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pass
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except Exception as e:
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text_model_inference_info = f"发生异常：{e}"
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text_asr_audio_dir = ''
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return [text_model_inference_info, text_asr_audio_dir]
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# 对推理生成音频执行asr
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def asr(text_work_space_dir, text_character, text_asr_audio_dir, dropdown_asr_model,
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dropdown_asr_size, dropdown_asr_lang):
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text_asr_info = "asr成功：生成目录XXX"
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text_text_similarity_analysis_path = "D：//tt"
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try:
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check_base_info(text_work_space_dir, text_character)
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if text_asr_audio_dir is None or text_asr_audio_dir == '':
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raise Exception(i18n("待asr的音频所在目录不能为空，请先完成上一步操作"))
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if dropdown_asr_model is None or dropdown_asr_model == '':
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raise Exception(i18n("asr模型不能为空"))
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if dropdown_asr_size is None or dropdown_asr_size == '':
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raise Exception(i18n("asr模型大小不能为空"))
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if dropdown_asr_lang is None or dropdown_asr_lang == '':
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raise Exception(i18n("asr语言不能为空"))
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pass
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except Exception as e:
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text_asr_info = f"发生异常：{e}"
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text_text_similarity_analysis_path = ''
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return [text_asr_info, text_text_similarity_analysis_path]
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# 对asr生成的文件，与原本的文本内容，进行相似度分析
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def text_similarity_analysis(text_work_space_dir, text_character,
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text_text_similarity_analysis_path):
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text_text_similarity_analysis_info = "相似度分析成功：生成目录XXX"
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try:
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check_base_info(text_work_space_dir, text_character)
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if text_text_similarity_analysis_path is None or text_text_similarity_analysis_path == '':
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raise Exception(i18n("asr生成的文件路径不能为空，请先完成上一步操作"))
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pass
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except Exception as e:
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text_text_similarity_analysis_info = f"发生异常：{e}"
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return text_text_similarity_analysis_info
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# 根据一个参考音频，对指定目录下的音频进行相似度分析，并输出到另一个目录
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def similarity_audio_output(text_work_space_dir, text_character, text_base_audio_path,
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text_compare_audio_dir):
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text_similarity_audio_output_info = "相似度分析成功：生成目录XXX"
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try:
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check_base_info(text_work_space_dir, text_character)
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if text_base_audio_path is None or text_base_audio_path == '':
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raise Exception(i18n("基准音频路径不能为空"))
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if text_compare_audio_dir is None or text_compare_audio_dir == '':
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raise Exception(i18n("待分析的音频所在目录不能为空"))
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pass
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except Exception as e:
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text_similarity_audio_output_info = f"发生异常：{e}"
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return text_similarity_audio_output_info
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# 根据参考音频目录的删除情况，将其同步到推理生成的音频目录中，即参考音频目录下，删除了几个参考音频，就在推理目录下，将这些参考音频生成的音频文件移除
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def sync_ref_audio(text_work_space_dir, text_character, text_sync_ref_audio_dir,
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text_sync_inference_audio_dir):
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text_sync_ref_audio_info = "同步参考音频成功：生成目录XXX"
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try:
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check_base_info(text_work_space_dir, text_character)
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if text_sync_ref_audio_dir is None or text_sync_ref_audio_dir == '':
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raise Exception(i18n("参考音频目录不能为空"))
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if text_sync_inference_audio_dir is None or text_sync_inference_audio_dir == '':
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raise Exception(i18n("推理生成的音频目录不能为空"))
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pass
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except Exception as e:
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text_sync_ref_audio_info = f"发生异常：{e}"
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return text_sync_ref_audio_info
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# 根据模板和参考音频目录，生成参考音频配置内容
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def create_config(text_work_space_dir, text_character, text_template, text_sync_ref_audio_dir2):
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text_create_config_info = "配置生成成功：生成目录XXX"
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try:
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check_base_info(text_work_space_dir, text_character)
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if text_template is None or text_template == '':
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raise Exception(i18n("参考音频抽样目录不能为空"))
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if text_sync_ref_audio_dir2 is None or text_sync_ref_audio_dir2 == '':
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raise Exception(i18n("参考音频目录不能为空"))
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pass
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except Exception as e:
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text_create_config_info = f"发生异常：{e}"
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return text_create_config_info
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# 基于请求路径和参数，合成完整的请求路径
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def whole_url(text_url, text_text, text_ref_path, text_ref_text, text_emotion):
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text_whole_url = f'{text_url}?{text_text}=文本内容&{text_ref_path}=参考音频路径&{text_ref_text}=参考文本&{text_emotion}=情绪类型'
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return [text_whole_url]
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with gr.Blocks() as app:
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gr.Markdown(value=i18n("基本介绍：这是一个从训练素材中，批量提取参考音频，并进行效果评估与配置生成的工具"))
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with gr.Row():
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text_work_space_dir = gr.Text(label=i18n("工作目录，后续操作所生成文件都会保存在此目录下"), value="")
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text_character = gr.Text(label=i18n("请输入角色名称"), value="")
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with gr.Accordion(label=i18n("第一步：基于训练素材，生成待选参考音频列表"), open=False):
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gr.Markdown(value=i18n("1.1：选择list文件，并提取3-10秒的素材作为参考候选"))
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text_list_input = gr.Text(label=i18n("请输入list文件路径"), value="")
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with gr.Row():
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button_convert_from_list = gr.Button(i18n("开始生成待参考列表"), variant="primary")
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text_convert_from_list_info = gr.Text(label=i18n("参考列表生成结果"), value="", interactive=False)
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gr.Markdown(value=i18n("1.2：选择基准音频，执行相似度匹配，并分段随机抽样"))
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text_sample_dir = gr.Text(label=i18n("参考音频抽样目录"), value="", interactive=False)
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button_convert_from_list.click(convert_from_list, [text_work_space_dir, text_character, text_list_input],
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[text_convert_from_list_info, text_sample_dir])
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with gr.Row():
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text_base_voice_path = gr.Text(label=i18n("请输入基准音频路径"), value="")
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text_subsection_num = gr.Text(label=i18n("请输入分段数"), value="10")
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text_sample_num = gr.Text(label=i18n("请输入每段随机抽样个数"), value="4")
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checkbox_similarity_output = gr.Checkbox(label=i18n("是否将相似度匹配结果输出到临时目录？"), show_label=True)
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with gr.Row():
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button_sample = gr.Button(i18n("开始分段随机抽样"), variant="primary")
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text_sample_info = gr.Text(label=i18n("分段随机抽样结果"), value="", interactive=False)
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with gr.Accordion(label=i18n("第二步：基于参考音频和测试文本，执行批量推理"), open=False):
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gr.Markdown(value=i18n("2.1：配置推理服务参数信息，参考音频路径/文本和角色情绪二选一，如果是角色情绪，需要先执行第四步，"
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"将参考音频打包配置到推理服务下，在推理前，请确认完整请求地址是否与正常使用时的一致，包括角色名称，尤其是文本分隔符是否正确"))
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text_model_inference_voice_dir = gr.Text(label=i18n("待推理的参考音频所在目录"), value="", interactive=False)
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text_url = gr.Text(label=i18n("请输入推理服务请求地址与参数"), value="")
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with gr.Row():
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text_text = gr.Text(label=i18n("请输入文本参数名"), value="text")
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text_ref_path = gr.Text(label=i18n("请输入参考音频路径参数名"), value="text")
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text_ref_text = gr.Text(label=i18n("请输入参考音频文本参数名"), value="text")
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text_emotion = gr.Text(label=i18n("请输入角色情绪参数名"), value="text")
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text_whole_url = gr.Text(label=i18n("完整地址"), value="5555555555555555", interactive=False)
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text_url.input(whole_url, [text_url, text_text, text_ref_path, text_ref_text, text_emotion],
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[text_whole_url])
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text_text.input(whole_url, [text_url, text_text, text_ref_path, text_ref_text, text_emotion],
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[text_whole_url])
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text_ref_path.input(whole_url, [text_url, text_text, text_ref_path, text_ref_text, text_emotion],
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[text_whole_url])
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text_ref_text.input(whole_url, [text_url, text_text, text_ref_path, text_ref_text, text_emotion],
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[text_whole_url])
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text_emotion.input(whole_url, [text_url, text_text, text_ref_path, text_ref_text, text_emotion],
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[text_whole_url])
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gr.Markdown(value=i18n("2.2：配置待推理文本，一句一行，不要太多，10条即可"))
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text_test_content = gr.Text(label=i18n("请输入待推理文本路径"), value="text")
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gr.Markdown(value=i18n("2.3：启动推理服务，如果还没启动的话"))
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gr.Markdown(value=i18n("2.4：开始批量推理，这个过程比较耗时，可以去干点别的"))
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with gr.Row():
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button_model_inference = gr.Button(i18n("开启批量推理"), variant="primary")
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text_model_inference_info = gr.Text(label=i18n("批量推理结果"), value="", interactive=False)
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with gr.Accordion(label=i18n("第三步：进行参考音频效果校验与筛选"), open=False):
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gr.Markdown(value=i18n("3.1：启动asr，获取推理音频文本"))
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text_asr_audio_dir = gr.Text(label=i18n("待asr的音频所在目录"), value="", interactive=False)
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button_model_inference.click(model_inference,
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[text_work_space_dir, text_character, text_model_inference_voice_dir, text_url,
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text_text, text_ref_path, text_ref_text, text_emotion,
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text_test_content], [text_model_inference_info, text_asr_audio_dir])
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with gr.Row():
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dropdown_asr_model = gr.Dropdown(
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label=i18n("ASR 模型"),
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choices=[],
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interactive=True,
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value="达摩 ASR (中文)"
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)
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dropdown_asr_size = gr.Dropdown(
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label=i18n("ASR 模型尺寸"),
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choices=["large"],
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interactive=True,
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value="large"
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)
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dropdown_asr_lang = gr.Dropdown(
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label=i18n("ASR 语言设置"),
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choices=["zh"],
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interactive=True,
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value="zh"
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)
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with gr.Row():
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button_asr = gr.Button(i18n("启动asr"), variant="primary")
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text_asr_info = gr.Text(label=i18n("asr结果"), value="", interactive=False)
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gr.Markdown(value=i18n("3.2：启动文本相似度分析"))
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text_text_similarity_analysis_path = gr.Text(label=i18n("待分析的文件路径"), value="", interactive=False)
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button_asr.click(asr, [text_work_space_dir, text_character, text_asr_audio_dir, dropdown_asr_model,
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dropdown_asr_size, dropdown_asr_lang],
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[text_asr_info, text_text_similarity_analysis_path])
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with gr.Row():
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button_text_similarity_analysis = gr.Button(i18n("启动文本相似度分析"), variant="primary")
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text_text_similarity_analysis_info = gr.Text(label=i18n("文本相似度分析结果"), value="", interactive=False)
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button_text_similarity_analysis.click(text_similarity_analysis, [text_work_space_dir, text_character,
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text_text_similarity_analysis_path],
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[text_text_similarity_analysis_info])
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gr.Markdown(value=i18n("3.3：根据相似度分析结果，重点检查最后几条是否存在复读等问题"))
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gr.Markdown(value=i18n("3.4：对结果按音频相似度排序，筛选低音质音频"))
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with gr.Row():
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text_base_audio_path = gr.Text(label=i18n("请输入基准音频"), value="text")
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text_compare_audio_dir = gr.Text(label=i18n("请输入待比较的音频文件目录"), value="text")
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with gr.Row():
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button_similarity_audio_output = gr.Button(i18n("输出相似度-参考音频到临时目录"), variant="primary")
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text_similarity_audio_output_info = gr.Text(label=i18n("输出结果"), value="", interactive=False)
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button_similarity_audio_output.click(similarity_audio_output,
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[text_work_space_dir, text_character, text_base_audio_path,
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text_compare_audio_dir], [text_similarity_audio_output_info])
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with gr.Row():
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text_sync_ref_audio_dir = gr.Text(label=i18n("参考音频路径"), value="", interactive=False)
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text_sync_inference_audio_dir = gr.Text(label=i18n("被同步的推理音频路径"), value="", interactive=False)
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with gr.Row():
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button_sync_ref_audio = gr.Button(i18n("将参考音频的删除情况，同步到推理音频目录"), variant="primary")
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text_sync_ref_info = gr.Text(label=i18n("同步结果"), value="", interactive=False)
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button_sync_ref_audio.click(sync_ref_audio, [text_work_space_dir, text_character, text_sync_ref_audio_dir,
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text_sync_inference_audio_dir], [text_sync_ref_info])
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with gr.Accordion("第四步：生成参考音频配置文本", open=False):
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gr.Markdown(value=i18n("4.1：编辑模板"))
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text_template_path = gr.Text(label=i18n("模板文件路径"), value="", interactive=False)
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text_template = gr.Text(label=i18n("模板内容"), value="text", lines=10)
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gr.Markdown(value=i18n("4.2：生成配置"))
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text_sync_ref_audio_dir2 = gr.Text(label=i18n("参考音频路径"), value="", interactive=False)
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with gr.Row():
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button_create_config = gr.Button(i18n("生成配置"), variant="primary")
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text_create_config_info = gr.Text(label=i18n("生成结果"), value="", interactive=False)
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button_create_config.click(create_config,
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[text_work_space_dir, text_character, text_template, text_sync_ref_audio_dir2],
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[text_create_config_info])
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button_sample.click(sample, [text_work_space_dir, text_character, text_sample_dir, text_base_voice_path,
|
||
text_subsection_num, text_sample_num, checkbox_similarity_output],
|
||
[text_sample_info, text_model_inference_voice_dir, text_sync_ref_audio_dir,
|
||
text_sync_ref_audio_dir2])
|
||
|
||
app.launch(
|
||
server_port=9423,
|
||
quiet=True,
|
||
)
|