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import gradio as gr
from interface.rebalancing_interface import (
input as rebalancing_inputs,
output as rebalancing_output,
update_output as rebalancing_update_output,
examples as rebalancing_examples,
component_rows as rebalancing_component_rows
)
from interface.share_price_trend_interface import (
input as share_price_trend_inputs,
output as share_price_trend_output,
update_output as share_price_trend_update_output,
examples as share_price_trend_examples,
component_rows as share_price_trend_component_rows
)
from interface.dollar_cost_averaging_interface import (
input as dollar_cost_averaging_inputs,
output as dollar_cost_averaging_output,
update_output as dollar_cost_averaging_update_output,
examples as dollar_cost_averaging_examples,
component_rows as dollar_cost_averaging_component_rows
)
from interface.retirement_planning_interface import (
input as retirement_planning_inputs,
output as retirement_planning_output,
update_output as retirement_update_output,
examples as retirement_planning_examples,
component_rows as retirement_planning_component_rows,
)
from interface.about_interface import render_about_tab
from modules.utils import create_tab
tabs_configuration = [
("🚀 Re-Balancing Calculator", rebalancing_inputs, rebalancing_output, rebalancing_update_output, rebalancing_examples, rebalancing_component_rows),
("📈 Share Price Trend", share_price_trend_inputs, share_price_trend_output, share_price_trend_update_output, share_price_trend_examples, share_price_trend_component_rows),
("📉 Dollar Cost Averaging Calculator", dollar_cost_averaging_inputs, dollar_cost_averaging_output, dollar_cost_averaging_update_output, dollar_cost_averaging_examples, dollar_cost_averaging_component_rows),
("🎯 Retirement Planning", retirement_planning_inputs, retirement_planning_output, retirement_update_output, retirement_planning_examples, retirement_planning_component_rows),
]
def initial_load(*args):
idx = 0
rebalancing_results = rebalancing_update_output(*args[idx:idx+len(rebalancing_inputs)])
idx += len(rebalancing_inputs)
share_price_trend_results = share_price_trend_update_output(*args[idx:idx+len(share_price_trend_inputs)])
idx += len(share_price_trend_inputs)
dollar_cost_averaging_results = dollar_cost_averaging_update_output(*args[idx:idx+len(dollar_cost_averaging_inputs)])
idx += len(dollar_cost_averaging_inputs)
retirement_results = retirement_update_output(*args[idx:])
return (rebalancing_results, share_price_trend_results, dollar_cost_averaging_results, retirement_results)
with gr.Blocks(css='style.css') as demo:
with gr.Column(elem_id="col-container"):
with gr.Tabs():
for tab in tabs_configuration:
create_tab(*tab)
render_about_tab()
demo.load(
initial_load,
inputs=rebalancing_inputs + share_price_trend_inputs + dollar_cost_averaging_inputs + retirement_planning_inputs,
outputs=[
rebalancing_output,
share_price_trend_output,
dollar_cost_averaging_output,
retirement_planning_output
]
)
demo.launch(share=True)
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