mirror of
https://github.com/RVC-Boss/GPT-SoVITS.git
synced 2025-04-05 19:41:56 +08:00
提取一部分公共组件
This commit is contained in:
Downupanddownup
parent
27325f4cf9
commit
13567362d9
@ -63,7 +63,6 @@ def convert_from_list(text_work_space_dir, text_role, text_list_input):
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text_convert_from_list_info = f"耗时：{time_consuming:0.1f}秒；转换成功：生成目录{ref_audio_all}"
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text_sample_dir = ref_audio_all
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# audio_sample.convert_from_list(text_list_input, ref_audio_all)
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except Exception as e:
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logger.error("发生异常: \n%s", traceback.format_exc())
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text_convert_from_list_info = f"发生异常：{e}"
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@ -131,9 +130,6 @@ def sample(text_work_space_dir, text_role, text_sample_dir, text_base_voice_path
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text_sample_info = f"耗时：{time_consuming:0.1f}秒；抽样成功：生成目录{ref_audio_dir}"
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# similarity_list, _, _ = start_similarity_analysis(base_role_dir, text_sample_dir,
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# text_base_voice_path, checkbox_similarity_output)
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if similarity_list is None:
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raise Exception("相似度分析失败")
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@ -143,25 +139,24 @@ def sample(text_work_space_dir, text_role, text_sample_dir, text_base_voice_path
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logger.error("发生异常: \n%s", traceback.format_exc())
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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 i18n(text_sample_info), text_model_inference_voice_dir, text_sync_ref_audio_dir, text_sync_ref_audio_dir2
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text_refer_audio_file_dir = ref_audio_dir
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return i18n(text_sample_info), text_refer_audio_file_dir
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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_role, slider_request_concurrency_num, text_model_inference_voice_dir, text_url,
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def model_inference(text_work_space_dir, text_role, slider_request_concurrency_num, text_refer_audio_file_dir,
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text_url,
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text_text, text_ref_path, text_ref_text, text_emotion,
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text_test_content_dir):
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text_work_space_dir, text_model_inference_voice_dir, text_test_content_dir \
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= common.batch_clean_paths([text_work_space_dir, text_model_inference_voice_dir, text_test_content_dir])
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text_work_space_dir, text_refer_audio_file_dir, text_test_content_dir \
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= common.batch_clean_paths([text_work_space_dir, text_refer_audio_file_dir, text_test_content_dir])
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inference_dir = None
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text_asr_audio_dir = None
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text_model_inference_info = None
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try:
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base_role_dir = check_base_info(text_work_space_dir, text_role)
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if text_model_inference_voice_dir is None or text_model_inference_voice_dir == '':
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if text_refer_audio_file_dir is None or text_refer_audio_file_dir == '':
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raise Exception("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("推理服务请求地址不能为空")
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@ -182,7 +177,7 @@ def model_inference(text_work_space_dir, text_role, slider_request_concurrency_n
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text_list = common.read_text_file_to_list(text_test_content_dir)
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if text_list is None or len(text_list) == 0:
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raise Exception("待推理文本内容不能为空")
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ref_audio_manager = common.RefAudioListManager(text_model_inference_voice_dir)
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ref_audio_manager = common.RefAudioListManager(text_refer_audio_file_dir)
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if len(ref_audio_manager.get_audio_list()) == 0:
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raise Exception("待推理的参考音频不能为空")
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@ -194,8 +189,6 @@ def model_inference(text_work_space_dir, text_role, slider_request_concurrency_n
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text_model_inference_info = f"耗时：{time_consuming:0.1f}秒；推理成功：生成目录{inference_dir}"
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# audio_inference.generate_audio_files(url_composer, text_list, ref_audio_manager.get_ref_audio_list(),
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# inference_dir)
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except Exception as e:
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logger.error("发生异常: \n%s", traceback.format_exc())
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text_model_inference_info = f"发生异常：{e}"
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@ -227,8 +220,6 @@ def asr(text_work_space_dir, text_role, text_asr_audio_dir, dropdown_asr_model,
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dropdown_asr_model, dropdown_asr_size,
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dropdown_asr_lang)
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# asr_file = open_asr(text_asr_audio_dir, base_role_dir, dropdown_asr_model, dropdown_asr_size,
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# dropdown_asr_lang)
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text_text_similarity_analysis_path = asr_file
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text_asr_info = f"耗时：{time_consuming:0.1f}秒；asr成功：生成文件{asr_file}"
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except Exception as e:
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@ -270,7 +261,7 @@ def open_asr(asr_inp_dir, asr_opt_dir, asr_model, asr_model_size, asr_lang):
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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_role, slider_text_similarity_amplification_boundary,
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def text_similarity_analysis(text_work_space_dir, text_role, slider_text_similarity_amplification_boundary,
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text_text_similarity_analysis_path):
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text_work_space_dir, text_text_similarity_analysis_path \
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= common.batch_clean_paths([text_work_space_dir, text_text_similarity_analysis_path])
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@ -284,11 +275,11 @@ def text_similarity_analysis(text_work_space_dir, text_role, slider_text_similar
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similarity_dir = os.path.join(base_role_dir, params.text_similarity_output_dir)
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time_consuming, _ = time_util.time_monitor(open_text_similarity_analysis)(text_text_similarity_analysis_path,
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similarity_dir, slider_text_similarity_amplification_boundary)
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similarity_dir,
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slider_text_similarity_amplification_boundary)
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text_text_similarity_analysis_info = f"耗时：{time_consuming:0.1f}秒；相似度分析成功：生成目录{similarity_dir}"
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# open_text_similarity_analysis(text_text_similarity_analysis_path, similarity_dir)
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except Exception as e:
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logger.error("发生异常: \n%s", traceback.format_exc())
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text_text_similarity_analysis_info = f"发生异常：{e}"
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@ -332,9 +323,6 @@ def similarity_audio_output(text_work_space_dir, text_role, text_base_audio_path
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= time_util.time_monitor(start_similarity_analysis)(base_role_dir,
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text_compare_audio_dir, text_base_audio_path, True)
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# similarity_list, similarity_file, similarity_file_dir = start_similarity_analysis(
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# base_role_dir, text_compare_audio_dir, text_base_audio_path, True)
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if similarity_list is None:
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raise Exception("相似度分析失败")
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@ -347,23 +335,23 @@ def similarity_audio_output(text_work_space_dir, text_role, text_base_audio_path
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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_role, text_sync_ref_audio_dir,
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text_sync_inference_audio_dir):
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text_work_space_dir, text_sync_ref_audio_dir, text_sync_inference_audio_dir \
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= common.batch_clean_paths([text_work_space_dir, text_sync_ref_audio_dir, text_sync_inference_audio_dir])
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def sync_ref_audio(text_work_space_dir, text_role, text_refer_audio_file_dir,
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text_inference_audio_file_dir):
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text_work_space_dir, text_refer_audio_file_dir, text_inference_audio_file_dir \
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= common.batch_clean_paths([text_work_space_dir, text_refer_audio_file_dir, text_inference_audio_file_dir])
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text_sync_ref_audio_info = None
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try:
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check_base_info(text_work_space_dir, text_role)
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if text_sync_ref_audio_dir is None or text_sync_ref_audio_dir == '':
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if text_refer_audio_file_dir is None or text_refer_audio_file_dir == '':
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raise Exception("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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if text_inference_audio_file_dir is None or text_inference_audio_file_dir == '':
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raise Exception("推理生成的音频目录不能为空")
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time_consuming, (delete_text_wav_num, delete_emotion_dir_num) \
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= time_util.time_monitor(audio_check.sync_ref_audio)(text_sync_ref_audio_dir,
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text_sync_inference_audio_dir)
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= time_util.time_monitor(audio_check.sync_ref_audio)(text_refer_audio_file_dir,
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text_inference_audio_file_dir)
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text_sync_ref_audio_info = (f"耗时：{time_consuming:0.1f}秒；推理音频目录{text_sync_inference_audio_dir}下，"
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text_sync_ref_audio_info = (f"耗时：{time_consuming:0.1f}秒；推理音频目录{text_inference_audio_file_dir}下，"
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f"text目录删除了{delete_text_wav_num}个推理音频，emotion目录下，删除了{delete_emotion_dir_num}个目录")
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except Exception as e:
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logger.error("发生异常: \n%s", traceback.format_exc())
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@ -372,9 +360,9 @@ def sync_ref_audio(text_work_space_dir, text_role, text_sync_ref_audio_dir,
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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_role, text_template, text_sync_ref_audio_dir2):
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text_work_space_dir, text_sync_ref_audio_dir2 \
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= common.batch_clean_paths([text_work_space_dir, text_sync_ref_audio_dir2])
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def create_config(text_work_space_dir, text_role, text_template, text_refer_audio_file_dir):
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text_work_space_dir, text_refer_audio_file_dir \
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= common.batch_clean_paths([text_work_space_dir, text_refer_audio_file_dir])
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config_file = None
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text_create_config_info = None
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@ -382,18 +370,15 @@ def create_config(text_work_space_dir, text_role, text_template, text_sync_ref_a
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base_role_dir = check_base_info(text_work_space_dir, text_role)
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if text_template is None or text_template == '':
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raise Exception("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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if text_refer_audio_file_dir is None or text_refer_audio_file_dir == '':
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raise Exception("参考音频目录不能为空")
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config_file = os.path.join(base_role_dir, f'{params.reference_audio_config_filename}.json')
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ref_audio_manager = common.RefAudioListManager(text_sync_ref_audio_dir2)
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ref_audio_manager = common.RefAudioListManager(text_refer_audio_file_dir)
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time_consuming, _ = time_util.time_monitor(audio_config.generate_audio_config)(base_role_dir, text_template,
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ref_audio_manager.get_ref_audio_list(),
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config_file)
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# audio_config.generate_audio_config(base_role_dir, text_template, ref_audio_manager.get_ref_audio_list(),
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# config_file)
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text_create_config_info = f"耗时：{time_consuming:0.1f}秒；配置生成成功：生成文件{config_file}"
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except Exception as e:
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@ -428,21 +413,27 @@ def refresh_api_model():
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{"choices": model_manager.get_sovits_model_names(), "__type__": "update"})
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def api_set_model_whole_url(text_api_set_model_base_url, dropdown_api_gpt_models, dropdown_api_sovits_models, text_api_gpt_param, text_api_sovits_param):
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url = audio_inference.SetModelURLComposer("all", text_api_set_model_base_url, text_api_gpt_param, text_api_sovits_param)
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def api_set_model_whole_url(text_api_set_model_base_url, dropdown_api_gpt_models, dropdown_api_sovits_models,
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text_api_gpt_param, text_api_sovits_param):
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url = audio_inference.SetModelURLComposer("all", text_api_set_model_base_url, text_api_gpt_param,
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text_api_sovits_param)
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return url.build_get_url([dropdown_api_gpt_models, dropdown_api_sovits_models], False)
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def start_api_set_model(text_api_set_model_base_url, dropdown_api_gpt_models, dropdown_api_sovits_models, text_api_gpt_param, text_api_sovits_param):
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def start_api_set_model(text_api_set_model_base_url, dropdown_api_gpt_models, dropdown_api_sovits_models,
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text_api_gpt_param, text_api_sovits_param):
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text_api_start_set_model_request_info = None
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try:
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if dropdown_api_gpt_models is None or dropdown_api_gpt_models == '':
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raise Exception("GPT模型不能为空")
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if dropdown_api_sovits_models is None or dropdown_api_sovits_models == '':
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raise Exception("Sovits模型不能为空")
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url = audio_inference.SetModelURLComposer("all", text_api_set_model_base_url, text_api_gpt_param, text_api_sovits_param)
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url = audio_inference.SetModelURLComposer("all", text_api_set_model_base_url, text_api_gpt_param,
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text_api_sovits_param)
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url.is_valid()
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time_consuming, result = time_util.time_monitor(audio_inference.start_api_set_model)(url, dropdown_api_gpt_models, dropdown_api_sovits_models)
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time_consuming, result = time_util.time_monitor(audio_inference.start_api_set_model)(url,
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dropdown_api_gpt_models,
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dropdown_api_sovits_models)
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text_api_start_set_model_request_info = f"耗时：{time_consuming:0.1f}秒；请求结果：{result}"
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except Exception as e:
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logger.error("发生异常: \n%s", traceback.format_exc())
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@ -454,18 +445,24 @@ def refresh_api_v2_gpt_model():
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return {"choices": model_manager.get_gpt_model_names(), "__type__": "update"}
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def api_v2_set_gpt_whole_url(text_api_v2_set_gpt_model_base_url, text_api_v2_gpt_model_param, dropdown_api_v2_gpt_models):
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url = audio_inference.SetModelURLComposer("gpt", text_api_v2_set_gpt_model_base_url, text_api_v2_gpt_model_param, None)
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def api_v2_set_gpt_whole_url(text_api_v2_set_gpt_model_base_url, text_api_v2_gpt_model_param,
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dropdown_api_v2_gpt_models):
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url = audio_inference.SetModelURLComposer("gpt", text_api_v2_set_gpt_model_base_url, text_api_v2_gpt_model_param,
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None)
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return url.build_get_url([dropdown_api_v2_gpt_models], False)
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def start_api_v2_set_gpt_model(text_api_v2_set_gpt_model_base_url, text_api_v2_gpt_model_param, dropdown_api_v2_gpt_models):
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def start_api_v2_set_gpt_model(text_api_v2_set_gpt_model_base_url, text_api_v2_gpt_model_param,
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dropdown_api_v2_gpt_models):
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text_api_v2_start_set_gpt_model_request_info = None
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try:
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if dropdown_api_v2_gpt_models is None or dropdown_api_v2_gpt_models == '':
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raise Exception("GPT模型不能为空")
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url = audio_inference.SetModelURLComposer("gpt", text_api_v2_set_gpt_model_base_url, text_api_v2_gpt_model_param, None)
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url = audio_inference.SetModelURLComposer("gpt", text_api_v2_set_gpt_model_base_url,
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text_api_v2_gpt_model_param, None)
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url.is_valid()
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time_consuming, result = time_util.time_monitor(audio_inference.start_api_v2_set_gpt_model)(url, dropdown_api_v2_gpt_models)
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time_consuming, result = time_util.time_monitor(audio_inference.start_api_v2_set_gpt_model)(url,
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dropdown_api_v2_gpt_models)
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text_api_v2_start_set_gpt_model_request_info = f"耗时：{time_consuming:0.1f}秒；请求结果：{result}"
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except Exception as e:
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logger.error("发生异常: \n%s", traceback.format_exc())
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@ -476,19 +473,25 @@ def start_api_v2_set_gpt_model(text_api_v2_set_gpt_model_base_url, text_api_v2_g
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def refresh_api_v2_sovits_model():
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return {"choices": model_manager.get_sovits_model_names(), "__type__": "update"}
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def api_v2_set_sovits_whole_url(text_api_v2_set_sovits_model_base_url, text_api_v2_sovits_model_param, dropdown_api_v2_sovits_models):
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url = audio_inference.SetModelURLComposer("sovits", text_api_v2_set_sovits_model_base_url, None, text_api_v2_sovits_model_param)
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def api_v2_set_sovits_whole_url(text_api_v2_set_sovits_model_base_url, text_api_v2_sovits_model_param,
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dropdown_api_v2_sovits_models):
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url = audio_inference.SetModelURLComposer("sovits", text_api_v2_set_sovits_model_base_url, None,
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text_api_v2_sovits_model_param)
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return url.build_get_url([dropdown_api_v2_sovits_models], False)
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def start_api_v2_set_sovits_model(text_api_v2_set_sovits_model_base_url, text_api_v2_sovits_model_param, dropdown_api_v2_sovits_models):
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def start_api_v2_set_sovits_model(text_api_v2_set_sovits_model_base_url, text_api_v2_sovits_model_param,
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dropdown_api_v2_sovits_models):
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text_api_v2_start_set_sovits_model_request_info = None
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try:
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if dropdown_api_v2_sovits_models is None or dropdown_api_v2_sovits_models == '':
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raise Exception("Sovits模型不能为空")
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url = audio_inference.SetModelURLComposer("sovits", text_api_v2_set_sovits_model_base_url, None, text_api_v2_sovits_model_param)
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url = audio_inference.SetModelURLComposer("sovits", text_api_v2_set_sovits_model_base_url, None,
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text_api_v2_sovits_model_param)
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url.is_valid()
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time_consuming, result = time_util.time_monitor(audio_inference.start_api_v2_set_sovits_model)(url, dropdown_api_v2_sovits_models)
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time_consuming, result = time_util.time_monitor(audio_inference.start_api_v2_set_sovits_model)(url,
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dropdown_api_v2_sovits_models)
|
||||
text_api_v2_start_set_sovits_model_request_info = f"耗时：{time_consuming:0.1f}秒；请求结果：{result}"
|
||||
except Exception as e:
|
||||
logger.error("发生异常: \n%s", traceback.format_exc())
|
||||
@ -500,25 +503,33 @@ def open_file(file_path):
|
||||
common.open_file(my_utils.clean_path(file_path))
|
||||
|
||||
|
||||
def delete_ref_audio_below_boundary(ref_audio_path, text_text_similarity_result_path, text_sync_inference_audio_dir, slider_audio_text_similarity_boundary):
|
||||
def delete_ref_audio_below_boundary(ref_audio_path, text_text_similarity_result_path, text_inference_audio_file_dir,
|
||||
slider_audio_text_similarity_boundary):
|
||||
text_delete_ref_audio_below_boundary_info = None
|
||||
ref_audio_path, text_text_similarity_result_path, text_sync_inference_audio_dir = common.batch_clean_paths([ref_audio_path, text_text_similarity_result_path, text_sync_inference_audio_dir])
|
||||
ref_audio_path, text_text_similarity_result_path, text_inference_audio_file_dir = common.batch_clean_paths(
|
||||
[ref_audio_path, text_text_similarity_result_path, text_inference_audio_file_dir])
|
||||
try:
|
||||
if ref_audio_path is None or ref_audio_path == '':
|
||||
raise Exception("参考音频路径不能为空")
|
||||
if text_text_similarity_result_path is None or text_text_similarity_result_path == '':
|
||||
raise Exception("文本相似度结果路径不能为空")
|
||||
time_consuming, count = time_util.time_monitor(text_check.delete_ref_audio_below_boundary)(ref_audio_path, text_text_similarity_result_path, text_sync_inference_audio_dir, slider_audio_text_similarity_boundary)
|
||||
time_consuming, count = time_util.time_monitor(text_check.delete_ref_audio_below_boundary)(ref_audio_path,
|
||||
text_text_similarity_result_path,
|
||||
text_inference_audio_file_dir,
|
||||
slider_audio_text_similarity_boundary)
|
||||
text_delete_ref_audio_below_boundary_info = f"耗时：{time_consuming:0.1f}秒；删除参考音频数量：{count}"
|
||||
except Exception as e:
|
||||
logger.error("发生异常: \n%s", traceback.format_exc())
|
||||
text_delete_ref_audio_below_boundary_info = f"发生异常：{e}"
|
||||
return text_delete_ref_audio_below_boundary_info
|
||||
|
||||
def change_lang_choices(key): #根据选择的模型修改可选的语言
|
||||
|
||||
def change_lang_choices(key): # 根据选择的模型修改可选的语言
|
||||
# return gr.Dropdown(choices=asr_dict[key]['lang'])
|
||||
return {"__type__": "update", "choices": asr_dict[key]['lang'],"value":asr_dict[key]['lang'][0]}
|
||||
def change_size_choices(key): # 根据选择的模型修改可选的模型尺寸
|
||||
return {"__type__": "update", "choices": asr_dict[key]['lang'], "value": asr_dict[key]['lang'][0]}
|
||||
|
||||
|
||||
def change_size_choices(key): # 根据选择的模型修改可选的模型尺寸
|
||||
# return gr.Dropdown(choices=asr_dict[key]['size'])
|
||||
return {"__type__": "update", "choices": asr_dict[key]['size']}
|
||||
|
||||
@ -570,12 +581,17 @@ if __name__ == '__main__':
|
||||
|
||||
with gr.Blocks() as app:
|
||||
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"))
|
||||
with gr.Row():
|
||||
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=default_work_space_dir)
|
||||
text_role = gr.Text(label=i18n("角色名称"), value=default_role)
|
||||
text_work_space_dir.blur(save_work_dir, [text_work_space_dir, text_role], [text_role])
|
||||
text_role.blur(save_role, [text_role], [])
|
||||
with gr.Accordion(label=i18n("基本信息")):
|
||||
with gr.Row():
|
||||
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=default_work_space_dir)
|
||||
text_role = gr.Text(label=i18n("角色名称"), value=default_role)
|
||||
button_switch_role_and_refresh = gr.Button(i18n("切换并刷新"), variant="primary")
|
||||
text_work_space_dir.blur(save_work_dir, [text_work_space_dir, text_role], [text_role])
|
||||
text_role.blur(save_role, [text_role], [])
|
||||
with gr.Row():
|
||||
text_refer_audio_file_dir = gr.Text(label=i18n("参考音频所在目录"), value="")
|
||||
text_inference_audio_file_dir = gr.Text(label=i18n("推理音频所在目录"), value="")
|
||||
with gr.Tab(label=i18n("第一步：基于训练素材，生成待选参考音频列表")):
|
||||
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"))
|
||||
text_list_input = gr.Text(label=i18n("请输入list文件路径"), value="")
|
||||
@ -602,8 +618,6 @@ if __name__ == '__main__':
|
||||
with gr.Tab(label=i18n("第二步：基于参考音频和测试文本，执行批量推理")):
|
||||
default_model_inference_voice_dir = common.check_path_existence_and_return(
|
||||
os.path.join(default_base_dir, params.reference_audio_dir))
|
||||
text_model_inference_voice_dir = gr.Text(label=i18n("待推理的参考音频所在目录"),
|
||||
value=default_model_inference_voice_dir, interactive=True)
|
||||
gr.Markdown(value=i18n("2.1：启动推理服务，并配置模型参数"))
|
||||
with gr.Accordion(label=i18n("详情")):
|
||||
with gr.Tab(label=i18n("主项目下api.py服务")):
|
||||
@ -613,55 +627,115 @@ if __name__ == '__main__':
|
||||
text_start_api_info = gr.Text(label=i18n("api启动信息"), value="", interactive=False)
|
||||
button_start_api.click(start_api, [], [text_start_api_info])
|
||||
gr.Markdown(value=i18n("2.1.2：设置模型参数"))
|
||||
text_api_set_model_base_url = gr.Text(label=i18n("请输入api服务模型切换接口地址"), value="", interactive=True)
|
||||
text_api_set_model_base_url = gr.Text(label=i18n("请输入api服务模型切换接口地址"), value="",
|
||||
interactive=True)
|
||||
with gr.Row():
|
||||
dropdown_api_gpt_models = gr.Dropdown(label=i18n("GPT模型列表"), choices=model_manager.get_gpt_model_names(), value="", interactive=True)
|
||||
dropdown_api_sovits_models = gr.Dropdown(label=i18n("SoVITS模型列表"), choices=model_manager.get_sovits_model_names(), value="", interactive=True)
|
||||
dropdown_api_gpt_models = gr.Dropdown(label=i18n("GPT模型列表"),
|
||||
choices=model_manager.get_gpt_model_names(), value="",
|
||||
interactive=True)
|
||||
dropdown_api_sovits_models = gr.Dropdown(label=i18n("SoVITS模型列表"),
|
||||
choices=model_manager.get_sovits_model_names(),
|
||||
value="", interactive=True)
|
||||
button_refresh_api_model = gr.Button(i18n("刷新模型路径"), variant="primary")
|
||||
button_refresh_api_model.click(refresh_api_model, [], [dropdown_api_gpt_models, dropdown_api_sovits_models])
|
||||
button_refresh_api_model.click(refresh_api_model, [],
|
||||
[dropdown_api_gpt_models, dropdown_api_sovits_models])
|
||||
with gr.Row():
|
||||
text_api_gpt_param = gr.Text(label=i18n("GPT模型参数名"), value="", interactive=True)
|
||||
text_api_sovits_param = gr.Text(label=i18n("SoVITS模型参数名"), value="", interactive=True)
|
||||
gr.Markdown(value=i18n("2.1.3：发起设置请求"))
|
||||
text_api_set_model_whole_url = gr.Text(label=i18n("完整的模型参数设置请求地址"), value="", interactive=False)
|
||||
dropdown_api_gpt_models.change(api_set_model_whole_url, [text_api_set_model_base_url, dropdown_api_gpt_models, dropdown_api_sovits_models, text_api_gpt_param, text_api_sovits_param], [text_api_set_model_whole_url])
|
||||
dropdown_api_sovits_models.change(api_set_model_whole_url, [text_api_set_model_base_url, dropdown_api_gpt_models, dropdown_api_sovits_models, text_api_gpt_param, text_api_sovits_param], [text_api_set_model_whole_url])
|
||||
text_api_gpt_param.input(api_set_model_whole_url, [text_api_set_model_base_url, dropdown_api_gpt_models, dropdown_api_sovits_models, text_api_gpt_param, text_api_sovits_param], [text_api_set_model_whole_url])
|
||||
text_api_sovits_param.input(api_set_model_whole_url, [text_api_set_model_base_url, dropdown_api_gpt_models, dropdown_api_sovits_models, text_api_gpt_param, text_api_sovits_param], [text_api_set_model_whole_url])
|
||||
text_api_set_model_whole_url = gr.Text(label=i18n("完整的模型参数设置请求地址"), value="",
|
||||
interactive=False)
|
||||
dropdown_api_gpt_models.change(api_set_model_whole_url,
|
||||
[text_api_set_model_base_url, dropdown_api_gpt_models,
|
||||
dropdown_api_sovits_models, text_api_gpt_param,
|
||||
text_api_sovits_param], [text_api_set_model_whole_url])
|
||||
dropdown_api_sovits_models.change(api_set_model_whole_url,
|
||||
[text_api_set_model_base_url, dropdown_api_gpt_models,
|
||||
dropdown_api_sovits_models, text_api_gpt_param,
|
||||
text_api_sovits_param], [text_api_set_model_whole_url])
|
||||
text_api_gpt_param.input(api_set_model_whole_url,
|
||||
[text_api_set_model_base_url, dropdown_api_gpt_models,
|
||||
dropdown_api_sovits_models, text_api_gpt_param, text_api_sovits_param],
|
||||
[text_api_set_model_whole_url])
|
||||
text_api_sovits_param.input(api_set_model_whole_url,
|
||||
[text_api_set_model_base_url, dropdown_api_gpt_models,
|
||||
dropdown_api_sovits_models, text_api_gpt_param, text_api_sovits_param],
|
||||
[text_api_set_model_whole_url])
|
||||
with gr.Row():
|
||||
button_api_start_set_model_request = gr.Button(i18n("发起模型设置请求"), variant="primary")
|
||||
text_api_start_set_model_request_info = gr.Text(label=i18n("设置请求结果"), value="", interactive=False)
|
||||
button_api_start_set_model_request.click(start_api_set_model, [text_api_set_model_base_url, dropdown_api_gpt_models, dropdown_api_sovits_models, text_api_gpt_param, text_api_sovits_param], [text_api_start_set_model_request_info])
|
||||
text_api_start_set_model_request_info = gr.Text(label=i18n("设置请求结果"), value="",
|
||||
interactive=False)
|
||||
button_api_start_set_model_request.click(start_api_set_model,
|
||||
[text_api_set_model_base_url, dropdown_api_gpt_models,
|
||||
dropdown_api_sovits_models, text_api_gpt_param,
|
||||
text_api_sovits_param],
|
||||
[text_api_start_set_model_request_info])
|
||||
with gr.Tab(label=i18n("fast项目下api_v2.py服务")):
|
||||
gr.Markdown(value=i18n("2.1.1：请到你的项目下，启动服务"))
|
||||
gr.Markdown(value=i18n("2.1.2：设置GPT模型参数"))
|
||||
text_api_v2_set_gpt_model_base_url = gr.Text(label=i18n("请输入api服务GPT模型切换接口地址"), value="", interactive=True)
|
||||
text_api_v2_set_gpt_model_base_url = gr.Text(label=i18n("请输入api服务GPT模型切换接口地址"),
|
||||
value="", interactive=True)
|
||||
with gr.Row():
|
||||
text_api_v2_gpt_model_param = gr.Text(label=i18n("GPT模型参数名"), value="", interactive=True)
|
||||
dropdown_api_v2_gpt_models = gr.Dropdown(label=i18n("GPT模型列表"), choices=model_manager.get_gpt_model_names(), value="", interactive=True)
|
||||
dropdown_api_v2_gpt_models = gr.Dropdown(label=i18n("GPT模型列表"),
|
||||
choices=model_manager.get_gpt_model_names(), value="",
|
||||
interactive=True)
|
||||
button_api_v2_refresh_gpt = gr.Button(i18n("刷新模型路径"), variant="primary")
|
||||
button_api_v2_refresh_gpt.click(refresh_api_v2_gpt_model, [], [dropdown_api_v2_gpt_models])
|
||||
text_api_v2_set_gpt_model_whole_url = gr.Text(label=i18n("完整的GPT模型参数设置请求地址"), value="", interactive=False)
|
||||
text_api_v2_gpt_model_param.input(api_v2_set_gpt_whole_url, [text_api_v2_set_gpt_model_base_url, text_api_v2_gpt_model_param, dropdown_api_v2_gpt_models], [text_api_v2_set_gpt_model_whole_url])
|
||||
dropdown_api_v2_gpt_models.change(api_v2_set_gpt_whole_url, [text_api_v2_set_gpt_model_base_url, text_api_v2_gpt_model_param, dropdown_api_v2_gpt_models], [text_api_v2_set_gpt_model_whole_url])
|
||||
text_api_v2_set_gpt_model_whole_url = gr.Text(label=i18n("完整的GPT模型参数设置请求地址"), value="",
|
||||
interactive=False)
|
||||
text_api_v2_gpt_model_param.input(api_v2_set_gpt_whole_url,
|
||||
[text_api_v2_set_gpt_model_base_url, text_api_v2_gpt_model_param,
|
||||
dropdown_api_v2_gpt_models],
|
||||
[text_api_v2_set_gpt_model_whole_url])
|
||||
dropdown_api_v2_gpt_models.change(api_v2_set_gpt_whole_url,
|
||||
[text_api_v2_set_gpt_model_base_url, text_api_v2_gpt_model_param,
|
||||
dropdown_api_v2_gpt_models],
|
||||
[text_api_v2_set_gpt_model_whole_url])
|
||||
with gr.Row():
|
||||
button_api_v2_start_set_gpt_model_request = gr.Button(i18n("发起GPT模型设置请求"), variant="primary")
|
||||
text_api_v2_start_set_gpt_model_request_info = gr.Text(label=i18n("设置请求结果"), value="", interactive=False)
|
||||
button_api_v2_start_set_gpt_model_request.click(start_api_v2_set_gpt_model, [text_api_v2_set_gpt_model_base_url, text_api_v2_gpt_model_param, dropdown_api_v2_gpt_models], [text_api_v2_start_set_gpt_model_request_info])
|
||||
button_api_v2_start_set_gpt_model_request = gr.Button(i18n("发起GPT模型设置请求"),
|
||||
variant="primary")
|
||||
text_api_v2_start_set_gpt_model_request_info = gr.Text(label=i18n("设置请求结果"), value="",
|
||||
interactive=False)
|
||||
button_api_v2_start_set_gpt_model_request.click(start_api_v2_set_gpt_model,
|
||||
[text_api_v2_set_gpt_model_base_url,
|
||||
text_api_v2_gpt_model_param,
|
||||
dropdown_api_v2_gpt_models],
|
||||
[text_api_v2_start_set_gpt_model_request_info])
|
||||
gr.Markdown(value=i18n("2.1.3：设置SoVITS模型参数"))
|
||||
text_api_v2_set_sovits_model_base_url = gr.Text(label=i18n("请输入api服务SoVITS模型切换接口地址"), value="", interactive=True)
|
||||
text_api_v2_set_sovits_model_base_url = gr.Text(label=i18n("请输入api服务SoVITS模型切换接口地址"),
|
||||
value="", interactive=True)
|
||||
with gr.Row():
|
||||
text_api_v2_sovits_model_param = gr.Text(label=i18n("SoVITS模型参数名"), value="", interactive=True)
|
||||
dropdown_api_v2_sovits_models = gr.Dropdown(label=i18n("SoVITS模型列表"), choices=model_manager.get_sovits_model_names(), value="", interactive=True)
|
||||
text_api_v2_sovits_model_param = gr.Text(label=i18n("SoVITS模型参数名"), value="",
|
||||
interactive=True)
|
||||
dropdown_api_v2_sovits_models = gr.Dropdown(label=i18n("SoVITS模型列表"),
|
||||
choices=model_manager.get_sovits_model_names(),
|
||||
value="", interactive=True)
|
||||
button_api_v2_refresh_sovits = gr.Button(i18n("刷新模型路径"), variant="primary")
|
||||
button_api_v2_refresh_sovits.click(refresh_api_v2_sovits_model, [], [dropdown_api_v2_sovits_models])
|
||||
text_api_v2_set_sovits_model_whole_url = gr.Text(label=i18n("完整的SoVITS模型参数设置请求地址"), value="", interactive=False)
|
||||
text_api_v2_sovits_model_param.input(api_v2_set_sovits_whole_url, [text_api_v2_set_sovits_model_base_url, text_api_v2_sovits_model_param, dropdown_api_v2_sovits_models], [text_api_v2_set_sovits_model_whole_url])
|
||||
dropdown_api_v2_sovits_models.change(api_v2_set_sovits_whole_url, [text_api_v2_set_sovits_model_base_url, text_api_v2_sovits_model_param, dropdown_api_v2_sovits_models], [text_api_v2_set_sovits_model_whole_url])
|
||||
button_api_v2_refresh_sovits.click(refresh_api_v2_sovits_model, [],
|
||||
[dropdown_api_v2_sovits_models])
|
||||
text_api_v2_set_sovits_model_whole_url = gr.Text(label=i18n("完整的SoVITS模型参数设置请求地址"),
|
||||
value="", interactive=False)
|
||||
text_api_v2_sovits_model_param.input(api_v2_set_sovits_whole_url,
|
||||
[text_api_v2_set_sovits_model_base_url,
|
||||
text_api_v2_sovits_model_param,
|
||||
dropdown_api_v2_sovits_models],
|
||||
[text_api_v2_set_sovits_model_whole_url])
|
||||
dropdown_api_v2_sovits_models.change(api_v2_set_sovits_whole_url,
|
||||
[text_api_v2_set_sovits_model_base_url,
|
||||
text_api_v2_sovits_model_param,
|
||||
dropdown_api_v2_sovits_models],
|
||||
[text_api_v2_set_sovits_model_whole_url])
|
||||
with gr.Row():
|
||||
button_api_v2_start_set_sovits_model_request = gr.Button(i18n("发起SoVITS模型设置请求"), variant="primary")
|
||||
text_api_v2_start_set_sovits_model_request_info = gr.Text(label=i18n("设置请求结果"), value="", interactive=False)
|
||||
button_api_v2_start_set_sovits_model_request.click(start_api_v2_set_sovits_model, [text_api_v2_set_sovits_model_base_url, text_api_v2_sovits_model_param, dropdown_api_v2_sovits_models], [text_api_v2_start_set_sovits_model_request_info])
|
||||
button_api_v2_start_set_sovits_model_request = gr.Button(i18n("发起SoVITS模型设置请求"),
|
||||
variant="primary")
|
||||
text_api_v2_start_set_sovits_model_request_info = gr.Text(label=i18n("设置请求结果"), value="",
|
||||
interactive=False)
|
||||
button_api_v2_start_set_sovits_model_request.click(start_api_v2_set_sovits_model,
|
||||
[text_api_v2_set_sovits_model_base_url,
|
||||
text_api_v2_sovits_model_param,
|
||||
dropdown_api_v2_sovits_models], [
|
||||
text_api_v2_start_set_sovits_model_request_info])
|
||||
with gr.Tab(label=i18n("第三方推理服务")):
|
||||
gr.Markdown(value=i18n("启动第三方推理服务，并完成参考音频打包，模型参数设置等操作"))
|
||||
gr.Markdown(value=i18n("2.2：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，"
|
||||
@ -698,8 +772,9 @@ if __name__ == '__main__':
|
||||
button_open_test_content_file = gr.Button(i18n("打开待推理文本文件"), variant="primary")
|
||||
button_open_test_content_file.click(open_file, [text_test_content], [])
|
||||
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"))
|
||||
slider_request_concurrency_num = gr.Slider(minimum=1, maximum=10, step=1, label=i18n("请输入请求并发数，会根据此数创建对应数量的子进程并行发起推理请求"), value=3,
|
||||
interactive=True)
|
||||
slider_request_concurrency_num = gr.Slider(minimum=1, maximum=10, step=1, label=i18n(
|
||||
"请输入请求并发数，会根据此数创建对应数量的子进程并行发起推理请求"), value=3,
|
||||
interactive=True)
|
||||
with gr.Row():
|
||||
button_model_inference = gr.Button(i18n("开启批量推理"), variant="primary")
|
||||
text_model_inference_info = gr.Text(label=i18n("批量推理结果"), value="", interactive=False)
|
||||
@ -738,9 +813,11 @@ if __name__ == '__main__':
|
||||
os.path.join(default_base_dir, params.asr_filename + '.list'))
|
||||
with gr.Row():
|
||||
text_text_similarity_analysis_path = gr.Text(label=i18n("待分析的文件路径"),
|
||||
value=default_text_similarity_analysis_path, interactive=True)
|
||||
slider_text_similarity_amplification_boundary = gr.Slider(minimum=0, maximum=1, step=0.01, label=i18n("文本相似度放大边界"), value=0.90,
|
||||
interactive=True)
|
||||
value=default_text_similarity_analysis_path,
|
||||
interactive=True)
|
||||
slider_text_similarity_amplification_boundary = gr.Slider(minimum=0, maximum=1, step=0.01,
|
||||
label=i18n("文本相似度放大边界"), value=0.90,
|
||||
interactive=True)
|
||||
button_asr.click(asr, [text_work_space_dir, text_role, text_asr_audio_dir, dropdown_asr_model,
|
||||
dropdown_asr_size, dropdown_asr_lang],
|
||||
[text_asr_info, text_text_similarity_analysis_path])
|
||||
@ -748,22 +825,31 @@ if __name__ == '__main__':
|
||||
button_text_similarity_analysis = gr.Button(i18n("启动文本相似度分析"), variant="primary")
|
||||
text_text_similarity_analysis_info = gr.Text(label=i18n("文本相似度分析结果"), value="",
|
||||
interactive=False)
|
||||
button_text_similarity_analysis.click(text_similarity_analysis, [text_work_space_dir, text_role, slider_text_similarity_amplification_boundary,
|
||||
button_text_similarity_analysis.click(text_similarity_analysis, [text_work_space_dir, text_role,
|
||||
slider_text_similarity_amplification_boundary,
|
||||
text_text_similarity_analysis_path],
|
||||
[text_text_similarity_analysis_info])
|
||||
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"))
|
||||
with gr.Row():
|
||||
text_text_similarity_result_path = gr.Text(label=i18n("文本相似度分析结果文件所在路径"), value="", interactive=True)
|
||||
text_text_similarity_result_path = gr.Text(label=i18n("文本相似度分析结果文件所在路径"), value="",
|
||||
interactive=True)
|
||||
button_open_text_similarity_result = gr.Button(i18n("打开文本相似度分析结果文件"), variant="primary")
|
||||
button_open_inference_dir = gr.Button(i18n("打开推理音频所在目录"), variant="primary")
|
||||
button_open_text_similarity_result.click(open_file, [text_text_similarity_result_path], [])
|
||||
slider_audio_text_similarity_boundary = gr.Slider(minimum=0, maximum=1, step=0.01, label=i18n("音频文本相似度边界值"), value=0.80,
|
||||
interactive=True)
|
||||
text_sync_inference_audio_dir2 = gr.Text(label=i18n("被同步的推理音频路径"),
|
||||
value="", interactive=True)
|
||||
button_open_inference_dir.click(open_file, [text_inference_audio_file_dir], [])
|
||||
slider_audio_text_similarity_boundary = gr.Slider(minimum=0, maximum=1, step=0.01,
|
||||
label=i18n("音频文本相似度边界值"), value=0.80,
|
||||
interactive=True)
|
||||
with gr.Row():
|
||||
button_delete_ref_audio_below_boundary = gr.Button(i18n("删除音频文本相似度边界值以下的参考音频"), variant="primary")
|
||||
button_delete_ref_audio_below_boundary = gr.Button(i18n("删除音频文本相似度边界值以下的参考音频"),
|
||||
variant="primary")
|
||||
text_delete_ref_audio_below_boundary_info = gr.Text(label=i18n("删除结果"), value="", interactive=True)
|
||||
button_delete_ref_audio_below_boundary.click(delete_ref_audio_below_boundary, [text_model_inference_voice_dir, text_text_similarity_result_path, text_sync_inference_audio_dir2, slider_audio_text_similarity_boundary], [text_delete_ref_audio_below_boundary_info])
|
||||
button_delete_ref_audio_below_boundary.click(delete_ref_audio_below_boundary,
|
||||
[text_refer_audio_file_dir,
|
||||
text_text_similarity_result_path,
|
||||
text_inference_audio_file_dir,
|
||||
slider_audio_text_similarity_boundary],
|
||||
[text_delete_ref_audio_below_boundary_info])
|
||||
with gr.Tab(label=i18n("第四步：校验参考音频音质")):
|
||||
gr.Markdown(value=i18n("4.1：对结果按音频相似度排序，或许有用吧，主要还是耳朵听"))
|
||||
with gr.Row():
|
||||
@ -777,20 +863,11 @@ if __name__ == '__main__':
|
||||
text_compare_audio_dir], [text_similarity_audio_output_info])
|
||||
gr.Markdown(value=i18n("4.2：如果发现存在低音质的推理音频，那么就去参考音频目录下，把原参考音频删了"))
|
||||
gr.Markdown(value=i18n("4.3：删除参考音频之后，按下面的操作，会将推理音频目录下对应的音频也删掉"))
|
||||
with gr.Row():
|
||||
default_sync_ref_audio_dir = common.check_path_existence_and_return(
|
||||
os.path.join(default_base_dir, params.reference_audio_dir))
|
||||
text_sync_ref_audio_dir = gr.Text(label=i18n("参考音频路径"), value=default_sync_ref_audio_dir,
|
||||
interactive=True)
|
||||
default_sync_inference_audio_dir = common.check_path_existence_and_return(
|
||||
os.path.join(default_base_dir, params.inference_audio_dir))
|
||||
text_sync_inference_audio_dir = gr.Text(label=i18n("被同步的推理音频路径"),
|
||||
value=default_sync_inference_audio_dir, interactive=True)
|
||||
with gr.Row():
|
||||
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")
|
||||
text_sync_ref_info = gr.Text(label=i18n("同步结果"), value="", interactive=False)
|
||||
button_sync_ref_audio.click(sync_ref_audio, [text_work_space_dir, text_role, text_sync_ref_audio_dir,
|
||||
text_sync_inference_audio_dir], [text_sync_ref_info])
|
||||
button_sync_ref_audio.click(sync_ref_audio, [text_work_space_dir, text_role, text_refer_audio_file_dir,
|
||||
text_inference_audio_file_dir], [text_sync_ref_info])
|
||||
with gr.Tab("第五步：生成参考音频配置文本"):
|
||||
gr.Markdown(value=i18n("5.1：编辑模板"))
|
||||
default_template_path = params.default_template_path
|
||||
@ -800,23 +877,21 @@ if __name__ == '__main__':
|
||||
gr.Markdown(value=i18n("5.2：生成配置"))
|
||||
default_sync_ref_audio_dir2 = common.check_path_existence_and_return(
|
||||
os.path.join(default_base_dir, params.reference_audio_dir))
|
||||
text_sync_ref_audio_dir2 = gr.Text(label=i18n("参考音频路径"), value=default_sync_ref_audio_dir2,
|
||||
interactive=True)
|
||||
with gr.Row():
|
||||
button_create_config = gr.Button(i18n("生成配置"), variant="primary")
|
||||
text_create_config_info = gr.Text(label=i18n("生成结果"), value="", interactive=False)
|
||||
button_create_config.click(create_config,
|
||||
[text_work_space_dir, text_role, text_template, text_sync_ref_audio_dir2],
|
||||
[text_work_space_dir, text_role, text_template, text_refer_audio_file_dir],
|
||||
[text_create_config_info])
|
||||
button_sample.click(sample, [text_work_space_dir, text_role, text_sample_dir, text_base_voice_path,
|
||||
slider_subsection_num, slider_sample_num, checkbox_similarity_output],
|
||||
[text_sample_info, text_model_inference_voice_dir, text_sync_ref_audio_dir,
|
||||
text_sync_ref_audio_dir2])
|
||||
[text_sample_info, text_refer_audio_file_dir])
|
||||
button_model_inference.click(model_inference,
|
||||
[text_work_space_dir, text_role, slider_request_concurrency_num, text_model_inference_voice_dir, text_url,
|
||||
[text_work_space_dir, text_role, slider_request_concurrency_num,
|
||||
text_refer_audio_file_dir, text_url,
|
||||
text_text, text_ref_path, text_ref_text, text_emotion,
|
||||
text_test_content],
|
||||
[text_model_inference_info, text_asr_audio_dir, text_sync_inference_audio_dir])
|
||||
[text_model_inference_info, text_asr_audio_dir, text_inference_audio_file_dir])
|
||||
|
||||
app.launch(
|
||||
server_port=9423,
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user