mirror of
https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI.git
synced 2025-04-04 03:38:58 +08:00
Remove i118n mention in the code
This commit is contained in:
VSlobolinskyi
parent
01ee796e6d
commit
bddf542bdf
100
infer-web.py
100
infer-web.py
@ -6,7 +6,6 @@ now_dir = os.getcwd()
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sys.path.append(now_dir)
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load_dotenv()
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from infer.modules.vc.modules import VC
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from i18n.i18n import I18nAuto
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from configs.config import Config
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from sklearn.cluster import MiniBatchKMeans
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import torch, platform
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@ -55,9 +54,6 @@ if config.dml == True:
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return res
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fairseq.modules.grad_multiply.GradMultiply.forward = forward_dml
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i18n = I18nAuto()
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logger.info(i18n)
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# 判断YesNo有能用来Train和加速推理的N卡
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ngpu = torch.cuda.device_count()
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gpu_infos = []
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mem = []
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@ -108,7 +104,7 @@ if if_gpu_ok and len(gpu_infos) > 0:
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gpu_info = "\n".join(gpu_infos)
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default_batch_size = min(mem) // 2
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else:
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gpu_info = i18n("Unfortunately, there is no compatible GPU available to support your training.")
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gpu_info = "Unfortunately, there is no compatible GPU available to support your training."
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default_batch_size = 1
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gpus = "-".join([i[0] for i in gpu_infos])
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@ -499,24 +495,22 @@ def change_f0_method(f0method8):
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with gr.Blocks(title="RVC WebUI") as app:
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gr.Markdown("## RVC WebUI")
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gr.Markdown(
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value=i18n(
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"This software is open source under the MIT license. The author does not have any control over the software. Users who use the software and distribute the sounds exported by the software are solely responsible. <br>If you do not agree with this clause, you cannot use or reference any codes and files within the software package. See the root directory <b>Agreement-LICENSE.txt</b> for details."
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)
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value="This software is open source under the MIT license. The author does not have any control over the software. Users who use the software and distribute the sounds exported by the software are solely responsible. <br>If you do not agree with this clause, you cannot use or reference any codes and files within the software package. See the root directory <b>Agreement-LICENSE.txt</b> for details."
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)
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with gr.Tabs():
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with gr.TabItem(i18n("Model Inference")):
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with gr.TabItem("Model Inference"):
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with gr.Row():
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sid0 = gr.Dropdown(label=i18n("Inferencing voice:"), choices=sorted(names))
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sid0 = gr.Dropdown(label="Inferencing voice:", choices=sorted(names))
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with gr.Column():
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refresh_button = gr.Button(
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i18n("Refresh voice list and index path"), variant="primary"
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"Refresh voice list and index path", variant="primary"
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)
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clean_button = gr.Button(i18n("Unload voice to save GPU memory:"), variant="primary")
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clean_button = gr.Button("Unload voice to save GPU memory:", variant="primary")
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spk_item = gr.Slider(
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minimum=0,
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maximum=2333,
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step=1,
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label=i18n("Select Speaker/Singer ID:"),
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label="Select Speaker/Singer ID:",
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value=0,
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visible=False,
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interactive=True,
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@ -524,24 +518,24 @@ with gr.Blocks(title="RVC WebUI") as app:
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clean_button.click(
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fn=clean, inputs=[], outputs=[sid0], api_name="infer_clean"
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)
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with gr.TabItem(i18n("Single Inference")):
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with gr.TabItem("Single Inference"):
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with gr.Group():
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with gr.Row():
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with gr.Column():
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vc_transform0 = gr.Number(
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label=i18n("Transpose (integer, number of semitones, raise by an octave: 12, lower by an octave: -12):"),
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label="Transpose (integer, number of semitones, raise by an octave: 12, lower by an octave: -12):",
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value=0,
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)
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# Add a file uploader for drag & drop.
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audio_upload = gr.File(
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label=i18n("拖拽或选择音频文件"),
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label="拖拽或选择音频文件",
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file_types=[".wav"],
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file_count="single",
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interactive=True,
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)
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# Existing textbox for the audio file path.
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input_audio0 = gr.Textbox(
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label=i18n("Enter the path of the audio file to be processed (default is the correct format example):"),
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label="Enter the path of the audio file to be processed (default is the correct format example):",
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placeholder="C:\\Users\\Desktop\\model_example.wav",
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interactive=True,
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)
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@ -550,19 +544,17 @@ with gr.Blocks(title="RVC WebUI") as app:
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fn=update_audio_path, inputs=audio_upload, outputs=input_audio0
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)
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file_index1 = gr.Textbox(
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label=i18n("Path to the feature index file. Leave blank to use the selected result from the dropdown:"),
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label="Path to the feature index file. Leave blank to use the selected result from the dropdown:",
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placeholder="C:\\Users\\Desktop\\model_example.index",
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interactive=True,
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)
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file_index2 = gr.Dropdown(
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label=i18n("Auto-detect index path and select from the dropdown:"),
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label="Auto-detect index path and select from the dropdown:",
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choices=sorted(index_paths),
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interactive=True,
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)
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f0method0 = gr.Radio(
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label=i18n(
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"Select the pitch extraction algorithm ('pm': faster extraction but lower-quality speech; 'harvest': better bass but extremely slow; 'crepe': better quality but GPU intensive), 'rmvpe': best quality, and little GPU requirement"
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),
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label="Select the pitch extraction algorithm ('pm': faster extraction but lower-quality speech; 'harvest': better bass but extremely slow; 'crepe': better quality but GPU intensive), 'rmvpe': best quality, and little GPU requirement",
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choices=(["pm", "harvest", "crepe", "rmvpe"] if config.dml == False else ["pm", "harvest", "rmvpe"]),
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value="rmvpe",
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interactive=True,
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@ -572,7 +564,7 @@ with gr.Blocks(title="RVC WebUI") as app:
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resample_sr0 = gr.Slider(
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minimum=0,
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maximum=48000,
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label=i18n("Resample the output audio in post-processing to the final sample rate. Set to 0 for no resampling:"),
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label="Resample the output audio in post-processing to the final sample rate. Set to 0 for no resampling:",
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value=0,
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step=1,
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interactive=True,
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@ -580,14 +572,14 @@ with gr.Blocks(title="RVC WebUI") as app:
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rms_mix_rate0 = gr.Slider(
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minimum=0,
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maximum=1,
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label=i18n("Adjust the volume envelope scaling. Closer to 0, the more it mimicks the volume of the original vocals. Can help mask noise and make volume sound more natural when set relatively low. Closer to 1 will be more of a consistently loud volume:"),
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label="Adjust the volume envelope scaling. Closer to 0, the more it mimicks the volume of the original vocals. Can help mask noise and make volume sound more natural when set relatively low. Closer to 1 will be more of a consistently loud volume:",
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value=0.25,
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interactive=True,
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)
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protect0 = gr.Slider(
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minimum=0,
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maximum=0.5,
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label=i18n("Protect voiceless consonants and breath sounds to prevent artifacts such as tearing in electronic music. Set to 0.5 to disable. Decrease the value to increase protection, but it may reduce indexing accuracy:"),
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label="Protect voiceless consonants and breath sounds to prevent artifacts such as tearing in electronic music. Set to 0.5 to disable. Decrease the value to increase protection, but it may reduce indexing accuracy:",
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value=0.33,
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step=0.01,
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interactive=True,
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@ -595,7 +587,7 @@ with gr.Blocks(title="RVC WebUI") as app:
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filter_radius0 = gr.Slider(
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minimum=0,
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maximum=7,
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label=i18n("If >=3: apply median filtering to the harvested pitch results. The value represents the filter radius and can reduce breathiness."),
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label="If >=3: apply median filtering to the harvested pitch results. The value represents the filter radius and can reduce breathiness.",
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value=3,
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step=1,
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interactive=True,
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@ -603,12 +595,12 @@ with gr.Blocks(title="RVC WebUI") as app:
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index_rate1 = gr.Slider(
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minimum=0,
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maximum=1,
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label=i18n("Search feature ratio (controls accent strength, too high has artifacting):"),
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label="Search feature ratio (controls accent strength, too high has artifacting):",
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value=0.75,
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interactive=True,
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)
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f0_file = gr.File(
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label=i18n("F0 curve file (optional). One pitch per line. Replaces the default F0 and pitch modulation:"),
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label="F0 curve file (optional). One pitch per line. Replaces the default F0 and pitch modulation:",
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visible=False,
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)
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@ -620,10 +612,10 @@ with gr.Blocks(title="RVC WebUI") as app:
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)
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with gr.Group():
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with gr.Column():
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but0 = gr.Button(i18n("Convert"), variant="primary")
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but0 = gr.Button("Convert", variant="primary")
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with gr.Row():
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vc_output1 = gr.Textbox(label=i18n("Output information"))
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vc_output2 = gr.Audio(label=i18n("Export audio (click on the three dots in the lower right corner to download)"))
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vc_output1 = gr.Textbox(label="Output information")
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vc_output2 = gr.Audio(label="Export audio (click on the three dots in the lower right corner to download)")
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but0.click(
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vc.vc_single,
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[
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@ -643,35 +635,31 @@ with gr.Blocks(title="RVC WebUI") as app:
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[vc_output1, vc_output2],
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api_name="infer_convert",
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)
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with gr.TabItem(i18n("Batch Inference")):
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with gr.TabItem("Batch Inference"):
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gr.Markdown(
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value=i18n(
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"Batch conversion. Enter the folder containing the audio files to be converted or upload multiple audio files. The converted audio will be output in the specified folder (default: 'opt')."
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)
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value="Batch conversion. Enter the folder containing the audio files to be converted or upload multiple audio files. The converted audio will be output in the specified folder (default: 'opt')."
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)
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with gr.Row():
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with gr.Column():
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vc_transform1 = gr.Number(
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label=i18n("Transpose (integer, number of semitones, raise by an octave: 12, lower by an octave: -12):"),
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label="Transpose (integer, number of semitones, raise by an octave: 12, lower by an octave: -12):",
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value=0,
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)
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opt_input = gr.Textbox(
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label=i18n("Specify output folder:"), value="opt"
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label="Specify output folder:", value="opt"
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)
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file_index3 = gr.Textbox(
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label=i18n("Path to the feature index file. Leave blank to use the selected result from the dropdown:"),
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label="Path to the feature index file. Leave blank to use the selected result from the dropdown:",
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value="",
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interactive=True,
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)
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file_index4 = gr.Dropdown(
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label=i18n("Auto-detect index path and select from the dropdown:"),
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label="Auto-detect index path and select from the dropdown:",
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choices=sorted(index_paths),
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interactive=True,
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)
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f0method1 = gr.Radio(
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label=i18n(
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"Select the pitch extraction algorithm ('pm': faster extraction but lower-quality speech; 'harvest': better bass but extremely slow; 'crepe': better quality but GPU intensive), 'rmvpe': best quality, and little GPU requirement"
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),
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label="Select the pitch extraction algorithm ('pm': faster extraction but lower-quality speech; 'harvest': better bass but extremely slow; 'crepe': better quality but GPU intensive), 'rmvpe': best quality, and little GPU requirement",
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choices=(
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["pm", "harvest", "crepe", "rmvpe"]
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if config.dml == False
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@ -681,7 +669,7 @@ with gr.Blocks(title="RVC WebUI") as app:
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interactive=True,
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)
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format1 = gr.Radio(
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label=i18n("Export file format"),
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label="Export file format",
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choices=["wav", "flac", "mp3", "m4a"],
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value="wav",
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interactive=True,
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@ -698,7 +686,7 @@ with gr.Blocks(title="RVC WebUI") as app:
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resample_sr1 = gr.Slider(
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minimum=0,
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maximum=48000,
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label=i18n("Resample the output audio in post-processing to the final sample rate. Set to 0 for no resampling:"),
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label="Resample the output audio in post-processing to the final sample rate. Set to 0 for no resampling:",
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value=0,
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step=1,
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interactive=True,
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@ -706,18 +694,14 @@ with gr.Blocks(title="RVC WebUI") as app:
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rms_mix_rate1 = gr.Slider(
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minimum=0,
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maximum=1,
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label=i18n(
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"Adjust the volume envelope scaling. Closer to 0, the more it mimicks the volume of the original vocals. Can help mask noise and make volume sound more natural when set relatively low. Closer to 1 will be more of a consistently loud volume:"
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),
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label="Adjust the volume envelope scaling. Closer to 0, the more it mimicks the volume of the original vocals. Can help mask noise and make volume sound more natural when set relatively low. Closer to 1 will be more of a consistently loud volume:",
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value=1,
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interactive=True,
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)
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protect1 = gr.Slider(
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minimum=0,
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maximum=0.5,
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label=i18n(
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"Protect voiceless consonants and breath sounds to prevent artifacts such as tearing in electronic music. Set to 0.5 to disable. Decrease the value to increase protection, but it may reduce indexing accuracy:"
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),
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label="Protect voiceless consonants and breath sounds to prevent artifacts such as tearing in electronic music. Set to 0.5 to disable. Decrease the value to increase protection, but it may reduce indexing accuracy:",
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value=0.33,
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step=0.01,
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interactive=True,
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@ -725,9 +709,7 @@ with gr.Blocks(title="RVC WebUI") as app:
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filter_radius1 = gr.Slider(
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minimum=0,
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maximum=7,
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label=i18n(
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"If >=3: apply median filtering to the harvested pitch results. The value represents the filter radius and can reduce breathiness."
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),
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label="If >=3: apply median filtering to the harvested pitch results. The value represents the filter radius and can reduce breathiness.",
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value=3,
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step=1,
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interactive=True,
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@ -735,25 +717,23 @@ with gr.Blocks(title="RVC WebUI") as app:
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index_rate2 = gr.Slider(
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minimum=0,
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maximum=1,
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label=i18n("Search feature ratio (controls accent strength, too high has artifacting):"),
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label="Search feature ratio (controls accent strength, too high has artifacting):",
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value=1,
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interactive=True,
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)
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with gr.Row():
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dir_input = gr.Textbox(
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label=i18n(
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"Enter the path of the audio folder to be processed (copy it from the address bar of the file manager):"
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),
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label="Enter the path of the audio folder to be processed (copy it from the address bar of the file manager):",
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placeholder="C:\\Users\\Desktop\\input_vocal_dir",
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)
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inputs = gr.File(
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file_count="multiple",
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label=i18n("Multiple audio files can also be imported. If a folder path exists, this input is ignored."),
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label="Multiple audio files can also be imported. If a folder path exists, this input is ignored.",
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)
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with gr.Row():
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but1 = gr.Button(i18n("Convert"), variant="primary")
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vc_output3 = gr.Textbox(label=i18n("Output information"))
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but1 = gr.Button("Convert", variant="primary")
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vc_output3 = gr.Textbox(label="Output information")
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but1.click(
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vc.vc_multi,
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@ -49,7 +49,7 @@ uvicorn = ">=0.21.1"
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colorama = ">=0.4.5"
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pyworld = "==0.3.2"
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httpx = "*"
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onnxruntime = { version = "*", markers = "sys_platform == 'darwin'" }
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onnxruntime = { version = "*", markers = "sys_platform == 'darwin'" }
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onnxruntime-gpu = { version = "*", markers = "sys_platform != 'darwin'" }
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torchcrepe = "==0.0.23"
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fastapi = "==0.88"
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44
temp_tools/clean_i18n.py
Normal file
44
temp_tools/clean_i18n.py
Normal file
@ -0,0 +1,44 @@
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import os
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import re
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def process_file(file_path):
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"""
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Reads a file, replaces occurrences of "Any text" (even if multiline)
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with just the "Any text" part, and writes the file back if changes are made.
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"""
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try:
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with open(file_path, 'r', encoding='utf-8') as f:
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content = f.read()
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except UnicodeDecodeError:
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print(f"Skipping binary or non-text file: {file_path}")
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return
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# Regex pattern to match i18n( <whitespace> "Any text" <whitespace> )
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# It supports both single and double quoted strings, and uses DOTALL
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# so that the string literal may span multiple lines.
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pattern = re.compile(
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r'i18n\s*\(\s*(?P<quote>["\'])(?P<text>.*?)(?P=quote)\s*\)',
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re.DOTALL
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)
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# Replacement function returns only the string literal (including quotes).
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new_content = pattern.sub(lambda m: m.group("quote") + m.group("text") + m.group("quote"), content)
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if new_content != content:
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with open(file_path, 'w', encoding='utf-8') as f:
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f.write(new_content)
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print(f"Updated: {file_path}")
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def process_directory(root_dir):
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"""
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Recursively traverse all files in root_dir and process them.
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"""
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for dirpath, _, filenames in os.walk(root_dir):
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for filename in filenames:
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file_path = os.path.join(dirpath, filename)
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process_file(file_path)
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if __name__ == '__main__':
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# Start processing from the current working directory.
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project_root = os.getcwd()
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process_directory(project_root)
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46
tools/app.py
46
tools/app.py
@ -6,7 +6,6 @@ import gradio as gr
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from dotenv import load_dotenv
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from configs.config import Config
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from i18n.i18n import I18nAuto
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from infer.modules.vc.modules import VC
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logging.getLogger("numba").setLevel(logging.WARNING)
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@ -15,9 +14,6 @@ logging.getLogger("urllib3").setLevel(logging.WARNING)
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logging.getLogger("matplotlib").setLevel(logging.WARNING)
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logger = logging.getLogger(__name__)
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i18n = I18nAuto()
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logger.info(i18n)
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load_dotenv()
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config = Config()
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vc = VC(config)
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@ -46,31 +42,27 @@ with app:
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RVC 在线demo
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"""
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)
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sid = gr.Dropdown(label=i18n("Inferencing voice:"), choices=sorted(names))
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sid = gr.Dropdown(label="Inferencing voice:", choices=sorted(names))
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with gr.Column():
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spk_item = gr.Slider(
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minimum=0,
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maximum=2333,
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step=1,
|
||||
label=i18n("Select Speaker/Singer ID:"),
|
||||
label="Select Speaker/Singer ID:",
|
||||
value=0,
|
||||
visible=False,
|
||||
interactive=True,
|
||||
)
|
||||
sid.change(fn=vc.get_vc, inputs=[sid], outputs=[spk_item])
|
||||
gr.Markdown(
|
||||
value=i18n(
|
||||
"Recommended +12 key for male to female conversion, and -12 key for female to male conversion. If the sound range goes too far and the voice is distorted, you can also adjust it to the appropriate range by yourself."
|
||||
)
|
||||
value="Recommended +12 key for male to female conversion, and -12 key for female to male conversion. If the sound range goes too far and the voice is distorted, you can also adjust it to the appropriate range by yourself."
|
||||
)
|
||||
vc_input3 = gr.Audio(label="上传音频（长度小于90秒）")
|
||||
vc_transform0 = gr.Number(
|
||||
label=i18n("Transpose (integer, number of semitones, raise by an octave: 12, lower by an octave: -12):"), value=0
|
||||
label="Transpose (integer, number of semitones, raise by an octave: 12, lower by an octave: -12):", value=0
|
||||
)
|
||||
f0method0 = gr.Radio(
|
||||
label=i18n(
|
||||
"选择音高Extract算法,输入歌声可用pm提速,harvest低音好但巨慢无比,crepe效果好但吃GPU"
|
||||
),
|
||||
label="选择音高Extract算法,输入歌声可用pm提速,harvest低音好但巨慢无比,crepe效果好但吃GPU",
|
||||
choices=["pm", "harvest", "crepe", "rmvpe"],
|
||||
value="pm",
|
||||
interactive=True,
|
||||
@ -78,36 +70,34 @@ with app:
|
||||
filter_radius0 = gr.Slider(
|
||||
minimum=0,
|
||||
maximum=7,
|
||||
label=i18n(
|
||||
"If >=3: apply median filtering to the harvested pitch results. The value represents the filter radius and can reduce breathiness."
|
||||
),
|
||||
label="If >=3: apply median filtering to the harvested pitch results. The value represents the filter radius and can reduce breathiness.",
|
||||
value=3,
|
||||
step=1,
|
||||
interactive=True,
|
||||
)
|
||||
with gr.Column():
|
||||
file_index1 = gr.Textbox(
|
||||
label=i18n("Path to the feature index file. Leave blank to use the selected result from the dropdown:"),
|
||||
label="Path to the feature index file. Leave blank to use the selected result from the dropdown:",
|
||||
value="",
|
||||
interactive=False,
|
||||
visible=False,
|
||||
)
|
||||
file_index2 = gr.Dropdown(
|
||||
label=i18n("Auto-detect index path and select from the dropdown:"),
|
||||
label="Auto-detect index path and select from the dropdown:",
|
||||
choices=sorted(index_paths),
|
||||
interactive=True,
|
||||
)
|
||||
index_rate1 = gr.Slider(
|
||||
minimum=0,
|
||||
maximum=1,
|
||||
label=i18n("Search feature ratio (controls accent strength, too high has artifacting):"),
|
||||
label="Search feature ratio (controls accent strength, too high has artifacting):",
|
||||
value=0.88,
|
||||
interactive=True,
|
||||
)
|
||||
resample_sr0 = gr.Slider(
|
||||
minimum=0,
|
||||
maximum=48000,
|
||||
label=i18n("Resample the output audio in post-processing to the final sample rate. Set to 0 for no resampling:"),
|
||||
label="Resample the output audio in post-processing to the final sample rate. Set to 0 for no resampling:",
|
||||
value=0,
|
||||
step=1,
|
||||
interactive=True,
|
||||
@ -115,28 +105,24 @@ with app:
|
||||
rms_mix_rate0 = gr.Slider(
|
||||
minimum=0,
|
||||
maximum=1,
|
||||
label=i18n(
|
||||
"Adjust the volume envelope scaling. Closer to 0, the more it mimicks the volume of the original vocals. Can help mask noise and make volume sound more natural when set relatively low. Closer to 1 will be more of a consistently loud volume:"
|
||||
),
|
||||
label="Adjust the volume envelope scaling. Closer to 0, the more it mimicks the volume of the original vocals. Can help mask noise and make volume sound more natural when set relatively low. Closer to 1 will be more of a consistently loud volume:",
|
||||
value=1,
|
||||
interactive=True,
|
||||
)
|
||||
protect0 = gr.Slider(
|
||||
minimum=0,
|
||||
maximum=0.5,
|
||||
label=i18n(
|
||||
"Protect voiceless consonants and breath sounds to prevent artifacts such as tearing in electronic music. Set to 0.5 to disable. Decrease the value to increase protection, but it may reduce indexing accuracy:"
|
||||
),
|
||||
label="Protect voiceless consonants and breath sounds to prevent artifacts such as tearing in electronic music. Set to 0.5 to disable. Decrease the value to increase protection, but it may reduce indexing accuracy:",
|
||||
value=0.33,
|
||||
step=0.01,
|
||||
interactive=True,
|
||||
)
|
||||
f0_file = gr.File(
|
||||
label=i18n("F0 curve file (optional). One pitch per line. Replaces the default F0 and pitch modulation:")
|
||||
label="F0 curve file (optional). One pitch per line. Replaces the default F0 and pitch modulation:"
|
||||
)
|
||||
but0 = gr.Button(i18n("Convert"), variant="primary")
|
||||
vc_output1 = gr.Textbox(label=i18n("Output information"))
|
||||
vc_output2 = gr.Audio(label=i18n("Export audio (click on the three dots in the lower right corner to download)"))
|
||||
but0 = gr.Button("Convert", variant="primary")
|
||||
vc_output1 = gr.Textbox(label="Output information")
|
||||
vc_output2 = gr.Audio(label="Export audio (click on the three dots in the lower right corner to download)")
|
||||
but0.click(
|
||||
vc.vc_single,
|
||||
[
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user