FAW-AI-APP / app.py
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import gradio as gr
from gen_tab import create_gen_tab
from train_tab import create_train_tab
from virtualtryon_tab import create_virtualtryon_tab
from faceswap_tab import create_faceswap_tab
from ipadapter_tab import create_ipadaptor_tab
from dotenv import load_dotenv, find_dotenv
import os
gallery_list=[]
def update_gallery(img):
gallery_list.append(img)
return gallery_list
_ = load_dotenv(find_dotenv())
with gr.Blocks(theme=gr.themes.Soft(
radius_size=gr.themes.sizes.radius_none,
primary_hue=gr.themes.colors.emerald,
secondary_hue=gr.themes.colors.green
)) as demo:
with gr.Tabs() as tabs:
gen_out,move_to_vto,move_to_fs,move_to_ip = create_gen_tab()
input_vto,output_vto=create_virtualtryon_tab()
input_fs,output_fs=create_faceswap_tab()
input_ip,output_ip=create_ipadaptor_tab()
create_train_tab()
#Buttons
move_to_vto.click(lambda x:x, inputs=gen_out,outputs=input_vto)
move_to_fs.click(lambda x:x, inputs=gen_out,outputs=input_fs)
move_to_ip.click(lambda x:x, inputs=gen_out,outputs=input_ip)
#Gallery
image_gallery = gr.Gallery(label="Generated Images Gallery", type="filepath")
#Gallery updates
gen_out.change(update_gallery,inputs=gen_out,outputs=image_gallery)
output_vto.change(update_gallery,inputs=output_vto,outputs=image_gallery)
output_fs.change(update_gallery,inputs=output_fs,outputs=image_gallery)
output_ip.change(update_gallery,inputs=output_ip,outputs=image_gallery)
demo.launch(share=True,debug=True) #,auth=[("username", "password"),(os.getenv("APP_USER"),os.getenv("APP_PW"))])