# search_logic = gr.Interface(text_analysis,input="text",outputs="highlight",title="High light")

# first layer extraction(text)
# second layer extraction(first layer output)
# third layer extraction(first layer outputs aggregated, second layer outputs aggregated)
# fourth layer extraction(first layer output, second layer output, third layer output)

import gradio as gr

from cloud_db import *
from supplier import *
from utility import *

from ui_study import *
from ui_studies import *
# from application import app_data


examples = []

@terminal_print
def init_demo():
    '''
    initialize the demo data
    '''
    study_page = init_study_page()
    studies_page = init_studies_page()

    return gr.TabbedInterface(
                [study_page,studies_page],
                ["Clinical Study","Studies"],
                theme = gr.themes.Soft(primary_hue="sky",secondary_hue="orange"),
                css = "footer {visibility: hidden}",
                title="AMRA AI Medi Reader")

def refresh_data():
    return

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