code changes

app.py

@@ -2,11 +2,16 @@ import gradio as gr
 import pandas as pd
 import joblib
 
-# Load the trained XGBoost model
+# Load model
 best_model = joblib.load("xgb_model.pkl")
 
-# Define the prediction function
-def predict_fuel_rate(loaded_drv, empty_drv, eng_speed, empty_stop, loading_stop, loaded_stop):
+# 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,
@@ -16,24 +21,58 @@ def predict_fuel_rate(loaded_drv, empty_drv, eng_speed, empty_stop, loading_stop
         'loaded_stop_time_percycle': loaded_stop
     }
     input_df = pd.DataFrame([input_data])
-    prediction = best_model.predict(input_df)[0]
-    return round(prediction, 2)
-
-# Gradio Interface
-interface = gr.Interface(
-    fn=predict_fuel_rate,
-    inputs=[
-        gr.Slider(3, 60, value=18, label="Loaded Drive Time per Cycle"),
-        gr.Slider(2, 51, value=16, label="Empty Drive Time per Cycle"),
-        gr.Slider(1051, 1596, value=1416, label="Engine Speed Average"),
-        gr.Slider(0.2, 24.6, value=4.2, label="Empty Stop Time per Cycle"),
-        gr.Slider(2, 18, value=2, label="Loading Stop Time per Cycle"),
-        gr.Slider(0.4, 9, value=0.4, label="Loaded Stop Time per Cycle"),
-    ],
-    outputs=gr.Number(label="Predicted Fuel Rate per Cycle (L)"),
-    title="🚛 Fuel Rate What-If Simulator",
-    description="Adjust the sliders to simulate different operating conditions and estimate fuel consumption."
-)
-
-# Launch the app
+    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
+
+    return (
+        f"{fuel_rate:,.2f}",
+        f"{production_per_day:,.2f}",
+        f"{fuel_per_day:,.2f}"
+    )
+
+# Interface
+# Use gr.Blocks for custom layout
+with gr.Blocks() as interface:
+    gr.Markdown("## 🚛 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="🚛 Predicted Fuel Rate per Cycle (L)")
+            output2 = gr.Textbox(label="📦 Production Per Day (Ton)")
+            output3 = gr.Textbox(label="⛽ Fuel Consumption Per Day (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]
+    )
+
 interface.launch()