Spaces:
Sleeping
Sleeping
| 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("## π 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="π Predicted Fuel Rate per Cycle (L)") | |
| output2 = gr.Textbox(label="π¦ Production Per Day (Ton)") | |
| output3 = gr.Textbox(label="β½ Fuel Consumption Per Day (L)") | |
| output4 = gr.Textbox(label="β½ 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() |