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import gradio as gr
import pandas as pd
import joblib

# Load model
best_model = joblib.load("xgb_model.pkl")

# Define function
def simulate(
    loaded_drv, empty_drv, eng_speed,
    empty_stop, loading_stop, loaded_stop,
    unit_count, cycle_per_day, unit_payload
):
    # Prediction
    input_data = {
        'loaded_drv_time_percycle': loaded_drv,
        'empty_drv_time_percycle': empty_drv,
        'Eng_Speed_Ave': eng_speed,
        'empty_stop_time_percycle': empty_stop,
        'loadingstoptime_percycle': loading_stop,
        'loaded_stop_time_percycle': loaded_stop
    }
    input_df = pd.DataFrame([input_data])
    fuel_rate = best_model.predict(input_df)[0]

    # Calculations
    production_per_day = unit_count * cycle_per_day * unit_payload
    fuel_per_day = unit_count * cycle_per_day * fuel_rate
    fuel_per_month = 30 * fuel_per_day

    return (
        f"{fuel_rate:,.2f}",
        f"{production_per_day:,.2f}",
        f"{fuel_per_day:,.2f}",
        f"{fuel_per_month:,.2f}"
    )

# Interface
# Use gr.Blocks for custom layout
with gr.Blocks() as interface:
    gr.Markdown("## πŸš› Fuel - Digital Twin (What-If Simulator)")
    gr.Markdown("Adjust inputs to simulate operating conditions and predict production & fuel usage.")

    # Top 3-column row for business inputs
    with gr.Row():
        with gr.Column():
            unit_count = gr.Number(value=5, label="Unit Count")
        with gr.Column():
            cycle_per_day = gr.Number(value=60, label="Cycle Per Day")
        with gr.Column():
            unit_payload = gr.Number(value=90, label="Unit Payload (Ton)")

    # Main 2-column layout: left = input sliders, right = output
    with gr.Row():
        with gr.Column():  # Left side = input sliders (one column)
            loaded_drv = gr.Slider(3, 60, value=18, label="Loaded Drive Time per Cycle")
            empty_drv = gr.Slider(2, 51, value=16, label="Empty Drive Time per Cycle")
            eng_speed = gr.Slider(1051, 1596, value=1416, label="Engine Speed Average")
            empty_stop = gr.Slider(0.2, 24.6, value=4.2, label="Empty Stop Time per Cycle")
            loading_stop = gr.Slider(2, 18, value=2, label="Loading Stop Time per Cycle")
            loaded_stop = gr.Slider(0.4, 9, value=0.4, label="Loaded Stop Time per Cycle")
            submit_btn = gr.Button("Submit")

        with gr.Column():  # Right side = output results
            output1 = gr.Textbox(label="πŸš› Predicted Fuel Rate per Cycle (L)")
            output2 = gr.Textbox(label="πŸ“¦ Production Per Day (Ton)")
            output3 = gr.Textbox(label="β›½ Fuel Consumption Per Day (L)")
            output4 = gr.Textbox(label="β›½ Fuel Consumption Per Month (L)")

    submit_btn.click(
        simulate,
        inputs=[
          loaded_drv, empty_drv, eng_speed,
          empty_stop, loading_stop, loaded_stop,
          unit_count, cycle_per_day, unit_payload
        ],
        outputs=[output1, output2, output3, output4]
    )

interface.launch()