lively06
commited on
Commit
•
731ab0d
1
Parent(s):
d00a749
commit1
Browse files- Dockerfile +28 -0
- Flight Dataset/Data_Train.xlsx +0 -0
- Flight Dataset/Sample_submission.xlsx +0 -0
- Flight Dataset/Test_set.xlsx +0 -0
- analysis.ipynb +0 -0
- app.py +291 -0
- flight_rf.pkl +3 -0
- requirements.txt +11 -0
- templates/home.html +192 -0
Dockerfile
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# Use the official Python 3.9 image
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FROM python:3.9
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# Set the working directory to /code
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WORKDIR /code
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# Copy the current directory contents into the container at /code
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COPY ./requirements.txt /code/requirements.txt
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# Install requirements.txt
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RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
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# Set up a new user named "user" with user ID 1000
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RUN useradd -m -u 1000 user
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# Switch to the "user" user
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USER user
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# Set home to the user's home directory
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ENV HOME=/home/user \
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PATH=/home/user/.local/bin:$PATH
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# Set the working directory to the user's home directory
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WORKDIR $HOME/app
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# Copy the current directory contents into the container at $HOME/app setting the owner to the user
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COPY --chown=user . $HOME/app
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# Start the FastAPI app on port 7860, the default port expected by Spaces
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CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
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Flight Dataset/Data_Train.xlsx
ADDED
Binary file (530 kB). View file
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Flight Dataset/Sample_submission.xlsx
ADDED
Binary file (28.5 kB). View file
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Flight Dataset/Test_set.xlsx
ADDED
Binary file (121 kB). View file
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analysis.ipynb
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The diff for this file is too large to render.
See raw diff
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app.py
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from flask import Flask,request,render_template
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from flask_cors import cross_origin
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import pickle
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import pandas as pd
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model = pickle.load(open('flight_rf.pkl','rb'))
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app = Flask(__name__)
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@app.route('/')
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@cross_origin()
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def home():
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return render_template('home.html')
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@app.route('/predict',methods=['GET','POST'])
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@cross_origin()
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def predict():
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if request.method=='POST':
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dep_time = request.form['Dep_Time']
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Journey_day = pd.to_datetime(dep_time,format="%Y-%m-%dT%H:%M").day
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Journey_month = pd.to_datetime(dep_time,format="%Y-%m-%dT%H:%M").month
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Departure_hour = pd.to_datetime(dep_time,format="%Y-%m-%dT%H:%M").hour
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Departure_min = pd.to_datetime(dep_time,format="%Y-%m-%dT%H:%M").minute
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arrival_time = request.form['Arrival_Time']
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Arrival_hour = pd.to_datetime(arrival_time,format="%Y-%m-%dT%H:%M").hour
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Arrival_min = pd.to_datetime(arrival_time,format="%Y-%m-%dT%H:%M").minute
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Total_stops = int(request.form['stops'])
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dur_hour = abs(Arrival_hour-Departure_hour)
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dur_min = abs(Arrival_min-Departure_min)
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airline=request.form['airline']
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if(airline=='Jet Airways'):
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Jet_Airways = 1
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IndiGo = 0
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Air_India = 0
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Multiple_carriers = 0
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SpiceJet = 0
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Vistara = 0
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GoAir = 0
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Multiple_carriers_Premium_economy = 0
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Jet_Airways_Business = 0
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Vistara_Premium_economy = 0
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Trujet = 0
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elif (airline=='IndiGo'):
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Jet_Airways = 0
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IndiGo = 1
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Air_India = 0
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Multiple_carriers = 0
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SpiceJet = 0
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Vistara = 0
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GoAir = 0
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Multiple_carriers_Premium_economy = 0
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Jet_Airways_Business = 0
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Vistara_Premium_economy = 0
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Trujet = 0
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elif (airline=='Air India'):
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Jet_Airways = 0
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IndiGo = 0
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Air_India = 1
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Multiple_carriers = 0
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SpiceJet = 0
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Vistara = 0
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GoAir = 0
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Multiple_carriers_Premium_economy = 0
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Jet_Airways_Business = 0
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Vistara_Premium_economy = 0
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Trujet = 0
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elif (airline=='Multiple carriers'):
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Jet_Airways = 0
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IndiGo = 0
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Air_India = 0
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Multiple_carriers = 1
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SpiceJet = 0
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Vistara = 0
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GoAir = 0
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Multiple_carriers_Premium_economy = 0
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Jet_Airways_Business = 0
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Vistara_Premium_economy = 0
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Trujet = 0
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elif (airline=='SpiceJet'):
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Jet_Airways = 0
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IndiGo = 0
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Air_India = 0
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Multiple_carriers = 0
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SpiceJet = 1
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Vistara = 0
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GoAir = 0
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Multiple_carriers_Premium_economy = 0
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Jet_Airways_Business = 0
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Vistara_Premium_economy = 0
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Trujet = 0
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elif (airline=='Vistara'):
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Jet_Airways = 0
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IndiGo = 0
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Air_India = 0
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Multiple_carriers = 0
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SpiceJet = 0
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Vistara = 1
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GoAir = 0
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Multiple_carriers_Premium_economy = 0
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Jet_Airways_Business = 0
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Vistara_Premium_economy = 0
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Trujet = 0
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elif (airline=='GoAir'):
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Jet_Airways = 0
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IndiGo = 0
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Air_India = 0
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Multiple_carriers = 0
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SpiceJet = 0
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Vistara = 0
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GoAir = 1
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Multiple_carriers_Premium_economy = 0
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Jet_Airways_Business = 0
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Vistara_Premium_economy = 0
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Trujet = 0
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elif (airline=='Multiple carriers Premium economy'):
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Jet_Airways = 0
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IndiGo = 0
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Air_India = 0
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Multiple_carriers = 0
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SpiceJet = 0
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Vistara = 0
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GoAir = 0
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Multiple_carriers_Premium_economy = 1
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Jet_Airways_Business = 0
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Vistara_Premium_economy = 0
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Trujet = 0
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elif (airline=='Jet Airways Business'):
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Jet_Airways = 0
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IndiGo = 0
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Air_India = 0
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Multiple_carriers = 0
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SpiceJet = 0
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Vistara = 0
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GoAir = 0
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Multiple_carriers_Premium_economy = 0
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Jet_Airways_Business = 1
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Vistara_Premium_economy = 0
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Trujet = 0
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elif (airline=='Vistara Premium economy'):
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Jet_Airways = 0
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IndiGo = 0
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Air_India = 0
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Multiple_carriers = 0
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SpiceJet = 0
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Vistara = 0
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GoAir = 0
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Multiple_carriers_Premium_economy = 0
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Jet_Airways_Business = 0
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Vistara_Premium_economy = 1
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Trujet = 0
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elif (airline=='Trujet'):
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Jet_Airways = 0
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IndiGo = 0
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Air_India = 0
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Multiple_carriers = 0
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SpiceJet = 0
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Vistara = 0
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GoAir = 0
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Multiple_carriers_Premium_economy = 0
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Jet_Airways_Business = 0
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Vistara_Premium_economy = 0
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Trujet = 1
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else:
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Jet_Airways = 0
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IndiGo = 0
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Air_India = 0
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Multiple_carriers = 0
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SpiceJet = 0
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Vistara = 0
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GoAir = 0
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Multiple_carriers_Premium_economy = 0
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Jet_Airways_Business = 0
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Vistara_Premium_economy = 0
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Trujet = 0
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Source = request.form["Source"]
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if (Source == 'Delhi'):
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s_Delhi = 1
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s_Kolkata = 0
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s_Mumbai = 0
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s_Chennai = 0
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elif (Source == 'Kolkata'):
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s_Delhi = 0
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s_Kolkata = 1
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s_Mumbai = 0
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s_Chennai = 0
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elif (Source == 'Mumbai'):
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s_Delhi = 0
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s_Kolkata = 0
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s_Mumbai = 1
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s_Chennai = 0
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elif (Source == 'Chennai'):
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s_Delhi = 0
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s_Kolkata = 0
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s_Mumbai = 0
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s_Chennai = 1
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else:
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s_Delhi = 0
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s_Kolkata = 0
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s_Mumbai = 0
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s_Chennai = 0
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Destination = request.form["Destination"]
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if (Destination == 'Cochin'):
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d_Cochin = 1
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d_Delhi = 0
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d_Hyderabad = 0
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d_Kolkata = 0
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elif (Destination == 'Delhi'):
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d_Cochin = 0
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d_Delhi = 1
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d_Hyderabad = 0
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d_Kolkata = 0
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elif (Destination == 'Hyderabad'):
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d_Cochin = 0
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d_Delhi = 0
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d_Hyderabad = 1
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d_Kolkata = 0
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elif (Destination == 'Kolkata'):
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d_Cochin = 0
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d_Delhi = 0
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d_Hyderabad = 0
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d_Kolkata = 1
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else:#Banglore
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d_Cochin = 0
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d_Delhi = 0
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d_Hyderabad = 0
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d_Kolkata = 0
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output = model.predict([[Total_stops,
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Journey_day,
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Journey_month,
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Departure_hour,
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Departure_min,
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262 |
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Arrival_hour,
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263 |
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Arrival_min,
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264 |
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dur_hour,
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dur_min,
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Air_India,
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267 |
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GoAir,
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IndiGo,
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Jet_Airways,
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Jet_Airways_Business,
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271 |
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Multiple_carriers,
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272 |
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Multiple_carriers_Premium_economy,
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273 |
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SpiceJet,
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274 |
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Trujet,
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275 |
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Vistara,
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276 |
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Vistara_Premium_economy,
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s_Chennai,
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278 |
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s_Delhi,
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s_Kolkata,
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s_Mumbai,
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d_Cochin,
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d_Delhi,
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d_Hyderabad,
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d_Kolkata]])
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285 |
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output = round(output[0],2)
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287 |
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return render_template('home.html',predictions='You will have to Pay approx Rs. {}'.format(output))
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288 |
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289 |
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290 |
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if __name__ == '__main__':
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291 |
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app.run(debug=True)
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flight_rf.pkl
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:eb54400ec7967f4bfe68fd5dafb5b63926f6d0e54e8a9d177592e975e0d83f16
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size 479762327
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requirements.txt
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openpyxl
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seaborn
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flask
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pandas
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Gunicorn
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flask_cors
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scikit-learn
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matplotlib
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numpy
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datetime
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uvicorn
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templates/home.html
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<html lang="en">
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<style>
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body {
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background-image: url('/static/img/bg3.jpg');
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background-repeat: no-repeat;
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background-attachment: fixed;
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background-size: cover;
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}
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img {
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display: block;
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margin-left: auto;
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margin-right: auto;
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14 |
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align-self: center;
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}
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|
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.navbar {
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background-color: #333333;
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}
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a {
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color: #f1f9f9;
|
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}
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a:hover {
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color: #f0f0f0;
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}
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|
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.card {
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border-radius: 1rem;
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background-color: hotpink;
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}
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</style>
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Flight Price Prediction</title>
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<!-- BootStrap -->
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<link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.5.0/css/bootstrap.min.css"
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integrity="sha384-9aIt2nRpC12Uk9gS9baDl411NQApFmC26EwAOH8WgZl5MYYxFfc+NcPb1dKGj7Sk" crossorigin="anonymous">
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|
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</head>
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<body>
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<nav class="navbar navbar-inverse navbar-fixed-top">
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<div class="container-fluid">
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<div class="navbar-header">
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<a class="navbar-brand" href="/" style='color: #e1f4f3;'>FLIGHT PRICE</a>
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</div>
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</div>
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</nav>
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<div class="container my-5">
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<form action="\predict" method="post">
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<div class="row my-3">
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<div class="col-sm-6">
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<div class="card" style='border-radius: 2.15rem;opacity: 0.7;'>
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<div class="card-body">
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<h5 class="card-title">Departure Date</h5>
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<input type="datetime-local" name="Dep_Time" id="Dep_Time" required="required">
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</div>
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</div>
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</div>
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|
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<div class="col-sm-6">
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<div class="card" style='border-radius: 2.15rem;opacity: 0.7;'>
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<div class="card-body">
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<h5 class="card-title">Arrival Date</h5>
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<input type="datetime-local" name="Arrival_Time" id="Arrival_Time" required="required">
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</div>
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</div>
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</div>
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</div>
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|
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|
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<div class="row my-3">
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<div class="col-sm-6">
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<div class="card" style='border-radius: 2.15rem;opacity: 0.7;'>
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<div class="card-body">
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<h5 class="card-title">Source</h5>
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<select name="Source" id="Source" required="required">
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<option value="Delhi">Delhi</option>
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<option value="Kolkata">Kolkata</option>
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<option value="Banglore">Banglore</option>
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<option value="Mumbai">Mumbai</option>
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<option value="Chennai">Chennai</option>
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</select>
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</div>
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</div>
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</div>
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|
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<div class="col-sm-6">
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<div class="card" style='border-radius: 2.15rem;opacity: 0.7;'>
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<div class="card-body">
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<h5 class="card-title">Destination</h5>
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<select name="Destination" id="Destination" required="required">
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<option value="Cochin">Cochin</option>
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<option value="Delhi">Delhi</option>
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<option value="Banglore">Banglore</option>
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<option value="Hyderabad">Hyderabad</option>
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<option value="Kolkata">Kolkata</option>
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</select>
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</div>
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</div>
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</div>
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</div>
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120 |
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<div class="row my-3">
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122 |
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123 |
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<div class="col-sm-6">
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124 |
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<div class="card" style='border-radius: 2.15rem;opacity: 0.7;'>
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<div class="card-body">
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<h5 class="card-title">Stopage</h5>
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<select name="stops" required="required">
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128 |
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<option value="0">Non-Stop</option>
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<option value="1">1</option>
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<option value="2">2</option>
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<option value="3">3</option>
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<option value="4">4</option>
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</select>
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</div>
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</div>
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</div>
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<div class="col-sm-6">
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139 |
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<div class="card" style='border-radius: 2.15rem;opacity: 0.7;'>
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<div class="card-body">
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<h5 class="card-title">Which Airline you want to travel?</h5>
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<select name="airline" id="airline" required="required">
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<option value="Jet Airways">Jet Airways</option>
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<option value="IndiGo">IndiGo</option>
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<option value="Air India">Air India</option>
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<option value="Multiple carriers">Multiple carriers</option>
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<option value="SpiceJet">SpiceJet</option>
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<option value="Vistara">Vistara</option>
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<option value="Air Asia">Air Asia</option>
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<option value="GoAir">GoAir</option>
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<option value="Multiple carriers Premium economy">Multiple carriers Premium economy
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</option>
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<option value="Jet Airways Business">Jet Airways Business</option>
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154 |
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<option value="Vistara Premium economy">Vistara Premium economy</option>
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155 |
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<option value="Trujet">Trujet</option>
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</select>
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</div>
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</div>
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</div>
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</div>
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<div style='text-align:center'>
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<button type="submit" value='Submit' class="btn btn-primary px-5" style="font-size: 25px;">Submit</button>
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</div>
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</form>
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<h1 style='text-align: center;color: ivory;'><b>{{ predictions }}</b></h1>
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</div>
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|
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<!-- JavaScript -->
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<script src="https://code.jquery.com/jquery-3.5.1.slim.min.js"
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integrity="sha384-DfXdz2htPH0lsSSs5nCTpuj/zy4C+OGpamoFVy38MVBnE+IbbVYUew+OrCXaRkfj"
|
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crossorigin="anonymous"></script>
|
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<script src="https://cdn.jsdelivr.net/npm/popper.js@1.16.0/dist/umd/popper.min.js"
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integrity="sha384-Q6E9RHvbIyZFJoft+2mJbHaEWldlvI9IOYy5n3zV9zzTtmI3UksdQRVvoxMfooAo"
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crossorigin="anonymous"></script>
|
186 |
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<script src="https://stackpath.bootstrapcdn.com/bootstrap/4.5.0/js/bootstrap.min.js"
|
187 |
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integrity="sha384-OgVRvuATP1z7JjHLkuOU7Xw704+h835Lr+6QL9UvYjZE3Ipu6Tp75j7Bh/kR0JKI"
|
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crossorigin="anonymous"></script>
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</body>
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</html>
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