app.py

import gradio as gr
import torch
from tabs.FACS_analysis import create_facs_analysis_tab
from ui_components import CUSTOM_CSS, HEADER_HTML, DISCLAIMER_HTML
import spaces  # Importing spaces to utilize Zero GPU


# Define the tab structure
TAB_STRUCTURE = [
    ("Visual Analysis", [
        ("FACS for Stress, Anxiety, Depression", create_facs_analysis_tab),
    ])
]

# Decorate GPU-dependent function with Zero GPU
@spaces.GPU(duration=120)  # Allocates GPU for 120 seconds when needed
def create_demo():
    
    # Gradio blocks to create the interface
    with gr.Blocks(css=CUSTOM_CSS) as demo:
        gr.Markdown(HEADER_HTML)
        with gr.Tabs(elem_classes=["main-tab"]):
            for main_tab, sub_tabs in TAB_STRUCTURE:
                with gr.Tab(main_tab):
                    with gr.Tabs():
                        for sub_tab, create_fn in sub_tabs:
                            with gr.Tab(sub_tab):
                                create_fn()
        gr.HTML(DISCLAIMER_HTML)
    
    return demo

# Create the demo instance
demo = create_demo()

if __name__ == "__main__":
    demo.launch()