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mirror of synced 2024-11-12 01:40:51 +01:00

删除无用文件,增加--colab启动选项

This commit is contained in:
源文雨 2023-04-01 15:02:53 +08:00
parent 951a538020
commit c9a041a8ab
22 changed files with 30 additions and 9 deletions

5
.gitignore vendored Normal file
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@ -0,0 +1,5 @@
.DS_Store
__pycache__
/TEMP
*.pyd
hubert_base.pt

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@ -64,9 +64,11 @@ def load_hubert():
weight_root="weights"
weight_uvr5_root="uvr5_weights"
names=[]
for name in os.listdir(weight_root):names.append(name)
for name in os.listdir(weight_root):
if name.endswith(".pt"): names.append(name)
uvr5_names=[]
for name in os.listdir(weight_uvr5_root):uvr5_names.append(name.replace(".pth",""))
for name in os.listdir(weight_uvr5_root):
if name.endswith(".pth"): uvr5_names.append(name.replace(".pth",""))
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
global tgt_sr,net_g,vc,hubert_model
@ -180,7 +182,10 @@ def get_vc(sid):
n_spk=cpt["config"][-3]
return {"visible": True,"maximum": n_spk, "__type__": "update"}
def change_choices():return {"choices": sorted(list(os.listdir(weight_root))), "__type__": "update"}
def change_choices():
for name in os.listdir(weight_root):
if name.endswith(".pt"): names.append(name)
return {"choices": sorted(name), "__type__": "update"}
def clean():return {"value": "", "__type__": "update"}
def change_f0(if_f0_3,sr2):#np7, f0method8,pretrained_G14,pretrained_D15
if(if_f0_3==""):return {"visible": True, "__type__": "update"},{"visible": True, "__type__": "update"},"pretrained/f0G%s.pth"%sr2,"pretrained/f0D%s.pth"%sr2
@ -443,7 +448,7 @@ with gr.Blocks() as app:
with gr.Tabs():
with gr.TabItem("模型推理"):
with gr.Row():
sid0 = gr.Dropdown(label="推理音色", choices=names)
sid0 = gr.Dropdown(label="推理音色", choices=sorted(names))
refresh_button = gr.Button("刷新音色列表", variant="primary")
refresh_button.click(
fn=change_choices,
@ -625,6 +630,11 @@ with gr.Blocks() as app:
with gr.TabItem("点击查看交流、问题反馈群号"):
gr.Markdown(value="""xxxxx""")
# app.launch(server_name="0.0.0.0",server_port=7860)
# app.queue(concurrency_count=511, max_size=1022).launch(server_name="127.0.0.1",inbrowser=True,server_port=7861,quiet=True)
app.queue(concurrency_count=511, max_size=1022).launch(server_name="0.0.0.0",inbrowser=True,server_port=7865,quiet=True)
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--colab", type=bool, default=False, help="Launch in colab")
cmd_opts = parser.parse_args()
if cmd_opts.colab:
app.launch(share=True)
else:
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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@ -1,4 +1,5 @@
import ffmpeg,numpy as np
import ffmpeg
import numpy as np
def load_audio(file,sr):
try:
# https://github.com/openai/whisper/blob/main/whisper/audio.py#L26

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pretrained/.gitignore vendored Normal file
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*
!.gitignore

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uvr5_weights/.gitignore vendored Normal file
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*
!.gitignore

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@ -1 +0,0 @@

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weights/.gitignore vendored Normal file
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*
!.gitignore