mirror of
https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI.git
synced 2026-01-19 18:41:52 +00:00
删除无用文件,增加--colab启动选项
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24
infer-web.py
24
infer-web.py
@@ -64,9 +64,11 @@ def load_hubert():
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weight_root="weights"
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weight_uvr5_root="uvr5_weights"
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names=[]
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for name in os.listdir(weight_root):names.append(name)
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for name in os.listdir(weight_root):
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if name.endswith(".pt"): names.append(name)
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uvr5_names=[]
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for name in os.listdir(weight_uvr5_root):uvr5_names.append(name.replace(".pth",""))
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for name in os.listdir(weight_uvr5_root):
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if name.endswith(".pth"): uvr5_names.append(name.replace(".pth",""))
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def vc_single(sid,input_audio,f0_up_key,f0_file,f0_method,file_index,file_big_npy,index_rate):#spk_item, input_audio0, vc_transform0,f0_file,f0method0
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global tgt_sr,net_g,vc,hubert_model
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@@ -180,7 +182,10 @@ def get_vc(sid):
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n_spk=cpt["config"][-3]
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return {"visible": True,"maximum": n_spk, "__type__": "update"}
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def change_choices():return {"choices": sorted(list(os.listdir(weight_root))), "__type__": "update"}
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def change_choices():
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for name in os.listdir(weight_root):
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if name.endswith(".pt"): names.append(name)
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return {"choices": sorted(name), "__type__": "update"}
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def clean():return {"value": "", "__type__": "update"}
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def change_f0(if_f0_3,sr2):#np7, f0method8,pretrained_G14,pretrained_D15
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if(if_f0_3=="是"):return {"visible": True, "__type__": "update"},{"visible": True, "__type__": "update"},"pretrained/f0G%s.pth"%sr2,"pretrained/f0D%s.pth"%sr2
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@@ -443,7 +448,7 @@ with gr.Blocks() as app:
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with gr.Tabs():
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with gr.TabItem("模型推理"):
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with gr.Row():
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sid0 = gr.Dropdown(label="推理音色", choices=names)
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sid0 = gr.Dropdown(label="推理音色", choices=sorted(names))
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refresh_button = gr.Button("刷新音色列表", variant="primary")
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refresh_button.click(
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fn=change_choices,
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@@ -625,6 +630,11 @@ with gr.Blocks() as app:
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with gr.TabItem("点击查看交流、问题反馈群号"):
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gr.Markdown(value="""xxxxx""")
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# app.launch(server_name="0.0.0.0",server_port=7860)
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# app.queue(concurrency_count=511, max_size=1022).launch(server_name="127.0.0.1",inbrowser=True,server_port=7861,quiet=True)
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app.queue(concurrency_count=511, max_size=1022).launch(server_name="0.0.0.0",inbrowser=True,server_port=7865,quiet=True)
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import argparse
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parser = argparse.ArgumentParser()
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parser.add_argument("--colab", type=bool, default=False, help="Launch in colab")
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cmd_opts = parser.parse_args()
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if cmd_opts.colab:
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app.launch(share=True)
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else:
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app.queue(concurrency_count=511, max_size=1022).launch(server_name="0.0.0.0",inbrowser=True,server_port=7865,quiet=True)
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