Update app.py

app.py

@@ -0,0 +1,46 @@
+import pickle              #pickle: Loads the saved model (Model.pickle).
+import pandas as pd
+import numpy as np
+import gradio as gr        # gradio: Creates a web interface for user input and model predictions.
+
+
+with open("Model.pickle","rb") as f:
+    
+    model=pickle.load(f)          #Opens the Model.pickle file in read-binary (rb) mode.
+
+def predict_booking(num_passengers, sales_channel, trip_type, purchase_lead, length_of_stay, 
+            flight_hour, flight_day, route, booking_origin, wants_extra_baggage, 
+            wants_preferred_seat, wants_in_flight_meals, flight_duration): 
+    
+    input_data=np.array([[num_passengers, sales_channel, trip_type, purchase_lead, length_of_stay, 
+            flight_hour, flight_day, route, booking_origin, wants_extra_baggage, 
+            wants_preferred_seat, wants_in_flight_meals, flight_duration]])
+    
+    prediction=model.predict(input_data)[0]
+    
+    return "Booking Completed" if prediction == 1 else "Booking Not Completed"
+
+
+routes = ["AKLDEL", "AKLHGH", "AKLHND", "AKLICN", "AKLKIX", "AKLKTM"]
+
+
+iface = gr.Interface(
+    fn=predict_booking
+    inputs=[gr.Number(label="Number of Passengers"),
+            gr.Dropdown(choices=["Online","Offline"],label="Sales Channel"),
+            gr.Dropdown(choices=["Single Trip","Round Trip"],label="Trip Type"),
+            gr.Number(label="Purchase Lead"),
+            gr.Number(label="Length of Stay"),
+            gr.Number(label="Flight Hours"),
+            gr.Number(label="Flight Day"),
+            gr.Number(choices=routes,label="Route"),
+            gr.Dropdown(choices=["Yes","No"],label="Want Extra Baggage"),
+            gr.Dropdown(choices=["Yes","No"],label="Want Prefered Seat"),
+            gr.Dropdown(choices=["Yes","No"],label="Want In-Flight Meals"),
+            gr.Number(label="Flight Duration")],
+    outputs=gr.Textbox(label="Bookig Prediction"),
+    title="British Airways Booking Predictions",
+    Description="Enter Flight Details to Predict Booking Completion"
+                
+)
+iface.launch()