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app.py
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import streamlit as st
import pandas as pd
import pickle
# Load the trained model
model = pickle.load(open("flight_rf.pkl", "rb"))
# Function to make predictions
def predict_price(Total_stops, Journey_day, Journey_month, Dep_hour, Dep_min,
Arrival_hour, Arrival_min, dur_hour, dur_min, Air_India, GoAir,
IndiGo, Jet_Airways, Jet_Airways_Business, Multiple_carriers,
Multiple_carriers_Premium_economy, SpiceJet, Trujet, Vistara,
Vistara_Premium_economy, s_Chennai, s_Delhi, s_Kolkata, s_Mumbai,
d_Cochin, d_Delhi, d_Hyderabad, d_Kolkata, d_New_Delhi):
prediction = model.predict([[
Total_stops, Journey_day, Journey_month, Dep_hour, Dep_min, Arrival_hour, Arrival_min,
dur_hour, dur_min, Air_India, GoAir, IndiGo, Jet_Airways, Jet_Airways_Business,
Multiple_carriers, Multiple_carriers_Premium_economy, SpiceJet, Trujet, Vistara,
Vistara_Premium_economy, s_Chennai, s_Delhi, s_Kolkata, s_Mumbai, d_Cochin, d_Delhi,
d_Hyderabad, d_Kolkata, d_New_Delhi
]])
return round(prediction[0], 2)
st.title("Flight Price Prediction")
# Date of Journey
st.sidebar.subheader("Date of Journey")
date_dep = st.sidebar.date_input("Departure Date", pd.to_datetime('2023-10-23'))
Journey_day = date_dep.day
Journey_month = date_dep.month
# Departure Time
st.sidebar.subheader("Departure Time")
Dep_hour = st.sidebar.slider("Hour", 0, 23, 7)
Dep_min = st.sidebar.slider("Minutes", 0, 59, 30)
# Arrival Time
st.sidebar.subheader("Arrival Time")
Arrival_hour = st.sidebar.slider("Hour", 0, 23, 10)
Arrival_min = st.sidebar.slider("Minutes", 0, 59, 45)
# Duration
st.sidebar.subheader("Duration")
dur_hour = abs(Arrival_hour - Dep_hour)
dur_min = abs(Arrival_min - Dep_min)
# Total Stops
st.sidebar.subheader("Total Stops")
Total_stops = st.sidebar.selectbox("Select the total stops", ["0", "1", "2", "3", "4"])
# Airline
st.sidebar.subheader("Airline")
airline = st.sidebar.selectbox("Select the airline", [
"Jet Airways",
"IndiGo",
"Air India",
"Multiple carriers",
"SpiceJet",
"Vistara",
"GoAir",
"Multiple carriers Premium economy",
"Jet Airways Business",
"Vistara Premium economy",
"Trujet"
])
# Source
st.sidebar.subheader("Source")
Source = st.sidebar.selectbox("Select the source", ["Delhi", "Kolkata", "Mumbai", "Chennai"])
# Destination
st.sidebar.subheader("Destination")
Destination = st.sidebar.selectbox("Select the destination", ["Cochin", "Delhi", "New Delhi", "Hyderabad", "Kolkata"])
# Encoding for Airline, Source, and Destination
# (Use one-hot encoding or similar technique as needed)
Airline_dict = {
"Jet Airways": 1,
"IndiGo": 0,
"Air India": 0,
"Multiple carriers": 0,
"SpiceJet": 0,
"Vistara": 0,
"GoAir": 0,
"Multiple carriers Premium economy": 0,
"Jet Airways Business": 0,
"Vistara Premium economy": 0,
"Trujet": 0
}
Source_dict = {
"Delhi": 1,
"Kolkata": 0,
"Mumbai": 0,
"Chennai": 0
}
Destination_dict = {
"Cochin": 1,
"Delhi": 0,
"New Delhi": 0,
"Hyderabad": 0,
"Kolkata": 0
}
# Calculate encoded values
Air_India = Airline_dict.get(airline, 0)
GoAir = Airline_dict.get(airline, 0)
IndiGo = Airline_dict.get(airline, 0)
Jet_Airways = Airline_dict.get(airline, 0)
Jet_Airways_Business = Airline_dict.get(airline, 0)
Multiple_carriers = Airline_dict.get(airline, 0)
Multiple_carriers_Premium_economy = Airline_dict.get(airline, 0)
SpiceJet = Airline_dict.get(airline, 0)
Trujet = Airline_dict.get(airline, 0)
Vistara = Airline_dict.get(airline, 0)
Vistara_Premium_economy = Airline_dict.get(airline, 0)
s_Delhi = Source_dict.get(Source, 0)
s_Kolkata = Source_dict.get(Source, 0)
s_Mumbai = Source_dict.get(Source, 0)
s_Chennai = Source_dict.get(Source, 0)
d_Cochin = Destination_dict.get(Destination, 0)
d_Delhi = Destination_dict.get(Destination, 0)
d_New_Delhi = Destination_dict.get(Destination, 0)
d_Hyderabad = Destination_dict.get(Destination, 0)
d_Kolkata = Destination_dict.get(Destination, 0)
if st.sidebar.button("Predict Price"):
prediction = predict_price(Total_stops, Journey_day, Journey_month, Dep_hour, Dep_min,
Arrival_hour, Arrival_min, dur_hour, dur_min, Air_India, GoAir,
IndiGo, Jet_Airways, Jet_Airways_Business, Multiple_carriers,
Multiple_carriers_Premium_economy, SpiceJet, Trujet, Vistara,
Vistara_Premium_economy, s_Chennai, s_Delhi, s_Kolkata, s_Mumbai,
d_Cochin, d_Delhi, d_Hyderabad, d_Kolkata, d_New_Delhi)
st.write("Your Flight price is Rs.", prediction)