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import os, sys
import gradio as gr
import shutil
now_dir = os.getcwd()
sys.path.append(now_dir)
from assets.i18n.i18n import I18nAuto
from core import run_model_blender_script
i18n = I18nAuto()
def update_model_fusion(dropbox):
return dropbox, None
def voice_blender_tab():
gr.Markdown(i18n("## Voice Blender"))
gr.Markdown(
i18n(
"Select two voice models, set your desired blend percentage, and blend them into an entirely new voice."
)
)
with gr.Column():
model_fusion_name = gr.Textbox(
label=i18n("Model Name"),
info=i18n("Name of the new model."),
value="",
max_lines=1,
interactive=True,
placeholder=i18n("Enter model name"),
)
with gr.Row():
with gr.Column():
model_fusion_a_dropbox = gr.File(
label=i18n("Drag and drop your model here"), type="filepath"
)
model_fusion_a = gr.Textbox(
label=i18n("Path to Model"),
value="",
interactive=True,
placeholder=i18n("Enter path to model"),
info=i18n("You can also use a custom path."),
)
with gr.Column():
model_fusion_b_dropbox = gr.File(
label=i18n("Drag and drop your model here"), type="filepath"
)
model_fusion_b = gr.Textbox(
label=i18n("Path to Model"),
value="",
interactive=True,
placeholder=i18n("Enter path to model"),
info=i18n("You can also use a custom path."),
)
alpha_a = gr.Slider(
minimum=0,
maximum=1,
label=i18n("Blend Ratio"),
value=0.5,
interactive=True,
info=i18n(
"Adjusting the position more towards one side or the other will make the model more similar to the first or second."
),
)
model_fusion_button = gr.Button(i18n("Fusion"), variant="primary")
with gr.Row():
model_fusion_output_info = gr.Textbox(
label=i18n("Output Information"),
info=i18n("The output information will be displayed here."),
value="",
)
model_fusion_pth_output = gr.File(
label=i18n("Download Model"), type="filepath", interactive=False
)
model_fusion_button.click(
fn=run_model_blender_script,
inputs=[
model_fusion_name,
model_fusion_a,
model_fusion_b,
alpha_a,
],
outputs=[model_fusion_output_info, model_fusion_pth_output],
)
model_fusion_a_dropbox.upload(
fn=update_model_fusion,
inputs=model_fusion_a_dropbox,
outputs=[model_fusion_a, model_fusion_a_dropbox],
)
model_fusion_b_dropbox.upload(
fn=update_model_fusion,
inputs=model_fusion_b_dropbox,
outputs=[model_fusion_b, model_fusion_b_dropbox],
)
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