Upload 16 files
Browse files- .gitattributes +2 -0
- Flight Dataset/Data_Train.xlsx +0 -0
- Flight Dataset/Sample_submission.xlsx +0 -0
- Flight Dataset/Test_set.xlsx +0 -0
- README.md +11 -11
- __pycache__/app.cpython-311.pyc +0 -0
- app.py +290 -0
- flight price.ipynb +0 -0
- flight_rf.pkl +3 -0
- ss.png +3 -0
- static/img/bg.jpg +0 -0
- static/img/bg3.jpg +0 -0
- static/img/bg4.jpg +0 -0
- static/img/bg5.jpg +0 -0
- static/img/bg6.jpg +0 -0
- static/img/bg7.jpg +3 -0
- templates/home.html +196 -0
.gitattributes
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@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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ss.png filter=lfs diff=lfs merge=lfs -text
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static/img/bg7.jpg filter=lfs diff=lfs merge=lfs -text
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Flight Dataset/Data_Train.xlsx
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Binary file (530 kB). View file
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Flight Dataset/Sample_submission.xlsx
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Binary file (28.5 kB). View file
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Flight Dataset/Test_set.xlsx
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Binary file (121 kB). View file
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README.md
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@@ -1,12 +1,12 @@
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-
--
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title: Flight
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emoji: 📉
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colorFrom: indigo
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colorTo: purple
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sdk: streamlit
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sdk_version: 1.28.2
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app_file: app.py
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pinned: false
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---
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-
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# Flight-Price-Prediction
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- I did this project just to perform some next level feature engineerings to elevate the performane of this model.
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- I have also created a gui using HTML,Bootstrap,CSS and implemnted the backend in Flask for this project and will be uploading that on Heroku soon.
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- Actually this was a Kaggle problem.
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- Initially I used RandomForestRegressor but that was not giving very satisfying results so I used RandomSearchCV to find best hyerparameters and came up witha a good model with r2 score of around 0.82.
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- Also used ExtraTreeRegressor to visualize the importances of all the features.
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- Just run app.py to see the gui on local host.
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Do visit my blog for better explanations: https://machinelearningprojects.net/flight-price-prediction/
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__pycache__/app.cpython-311.pyc
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Binary file (5.66 kB). View file
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app.py
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| 1 |
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from flask import Flask,request,render_template
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| 2 |
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from flask_cors import cross_origin
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| 3 |
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import pickle
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| 4 |
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import pandas as pd
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| 5 |
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| 6 |
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model = pickle.load(open('flight_rf.pkl','rb'))
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| 7 |
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| 8 |
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app = Flask(__name__)
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| 9 |
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| 10 |
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@app.route('/')
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| 11 |
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@cross_origin()
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| 12 |
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def home():
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return render_template('home.html')
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| 14 |
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| 15 |
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@app.route('/predict',methods=['GET','POST'])
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@cross_origin()
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| 17 |
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def predict():
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| 18 |
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if request.method=='POST':
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| 19 |
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dep_time = request.form['Dep_Time']
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| 20 |
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| 21 |
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Journey_day = pd.to_datetime(dep_time,format="%Y-%m-%dT%H:%M").day
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| 22 |
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Journey_month = pd.to_datetime(dep_time,format="%Y-%m-%dT%H:%M").month
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| 23 |
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| 24 |
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Departure_hour = pd.to_datetime(dep_time,format="%Y-%m-%dT%H:%M").hour
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| 25 |
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Departure_min = pd.to_datetime(dep_time,format="%Y-%m-%dT%H:%M").minute
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| 26 |
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| 27 |
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arrival_time = request.form['Arrival_Time']
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| 28 |
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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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| 30 |
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| 31 |
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Total_stops = int(request.form['stops'])
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| 32 |
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| 33 |
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dur_hour = abs(Arrival_hour-Departure_hour)
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| 34 |
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dur_min = abs(Arrival_min-Departure_min)
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| 35 |
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| 36 |
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airline=request.form['airline']
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| 37 |
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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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| 40 |
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Air_India = 0
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| 41 |
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Multiple_carriers = 0
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| 42 |
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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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| 50 |
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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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| 60 |
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Vistara_Premium_economy = 0
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| 61 |
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Trujet = 0
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| 63 |
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elif (airline=='Air India'):
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Jet_Airways = 0
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| 65 |
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IndiGo = 0
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| 66 |
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Air_India = 1
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Multiple_carriers = 0
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SpiceJet = 0
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| 69 |
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Vistara = 0
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| 70 |
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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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| 73 |
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Vistara_Premium_economy = 0
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| 74 |
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Trujet = 0
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| 75 |
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| 76 |
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elif (airline=='Multiple carriers'):
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Jet_Airways = 0
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| 78 |
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IndiGo = 0
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| 79 |
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Air_India = 0
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| 80 |
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Multiple_carriers = 1
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| 81 |
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SpiceJet = 0
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| 82 |
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Vistara = 0
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| 83 |
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GoAir = 0
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| 84 |
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Multiple_carriers_Premium_economy = 0
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| 85 |
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Jet_Airways_Business = 0
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| 86 |
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Vistara_Premium_economy = 0
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| 87 |
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Trujet = 0
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| 88 |
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| 89 |
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elif (airline=='SpiceJet'):
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Jet_Airways = 0
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| 91 |
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IndiGo = 0
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| 92 |
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Air_India = 0
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| 93 |
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Multiple_carriers = 0
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| 94 |
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SpiceJet = 1
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| 95 |
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Vistara = 0
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| 96 |
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GoAir = 0
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| 97 |
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Multiple_carriers_Premium_economy = 0
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| 98 |
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Jet_Airways_Business = 0
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| 99 |
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Vistara_Premium_economy = 0
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| 100 |
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Trujet = 0
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| 101 |
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| 102 |
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elif (airline=='Vistara'):
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| 103 |
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Jet_Airways = 0
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| 104 |
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IndiGo = 0
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| 105 |
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Air_India = 0
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| 106 |
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Multiple_carriers = 0
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| 107 |
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SpiceJet = 0
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| 108 |
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Vistara = 1
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| 109 |
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GoAir = 0
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| 110 |
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Multiple_carriers_Premium_economy = 0
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| 111 |
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Jet_Airways_Business = 0
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| 112 |
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Vistara_Premium_economy = 0
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| 113 |
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Trujet = 0
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| 114 |
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| 115 |
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elif (airline=='GoAir'):
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| 116 |
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Jet_Airways = 0
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| 117 |
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IndiGo = 0
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| 118 |
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Air_India = 0
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| 119 |
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Multiple_carriers = 0
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| 120 |
+
SpiceJet = 0
|
| 121 |
+
Vistara = 0
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| 122 |
+
GoAir = 1
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| 123 |
+
Multiple_carriers_Premium_economy = 0
|
| 124 |
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Jet_Airways_Business = 0
|
| 125 |
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Vistara_Premium_economy = 0
|
| 126 |
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Trujet = 0
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| 127 |
+
|
| 128 |
+
elif (airline=='Multiple carriers Premium economy'):
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| 129 |
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Jet_Airways = 0
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| 130 |
+
IndiGo = 0
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| 131 |
+
Air_India = 0
|
| 132 |
+
Multiple_carriers = 0
|
| 133 |
+
SpiceJet = 0
|
| 134 |
+
Vistara = 0
|
| 135 |
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GoAir = 0
|
| 136 |
+
Multiple_carriers_Premium_economy = 1
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| 137 |
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Jet_Airways_Business = 0
|
| 138 |
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Vistara_Premium_economy = 0
|
| 139 |
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Trujet = 0
|
| 140 |
+
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| 141 |
+
elif (airline=='Jet Airways Business'):
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| 142 |
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Jet_Airways = 0
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| 143 |
+
IndiGo = 0
|
| 144 |
+
Air_India = 0
|
| 145 |
+
Multiple_carriers = 0
|
| 146 |
+
SpiceJet = 0
|
| 147 |
+
Vistara = 0
|
| 148 |
+
GoAir = 0
|
| 149 |
+
Multiple_carriers_Premium_economy = 0
|
| 150 |
+
Jet_Airways_Business = 1
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| 151 |
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Vistara_Premium_economy = 0
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| 152 |
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Trujet = 0
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| 153 |
+
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| 154 |
+
elif (airline=='Vistara Premium economy'):
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| 155 |
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Jet_Airways = 0
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| 156 |
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IndiGo = 0
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| 157 |
+
Air_India = 0
|
| 158 |
+
Multiple_carriers = 0
|
| 159 |
+
SpiceJet = 0
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| 160 |
+
Vistara = 0
|
| 161 |
+
GoAir = 0
|
| 162 |
+
Multiple_carriers_Premium_economy = 0
|
| 163 |
+
Jet_Airways_Business = 0
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| 164 |
+
Vistara_Premium_economy = 1
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| 165 |
+
Trujet = 0
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| 166 |
+
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| 167 |
+
elif (airline=='Trujet'):
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| 168 |
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Jet_Airways = 0
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| 169 |
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IndiGo = 0
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| 170 |
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Air_India = 0
|
| 171 |
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Multiple_carriers = 0
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| 172 |
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SpiceJet = 0
|
| 173 |
+
Vistara = 0
|
| 174 |
+
GoAir = 0
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| 175 |
+
Multiple_carriers_Premium_economy = 0
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| 176 |
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Jet_Airways_Business = 0
|
| 177 |
+
Vistara_Premium_economy = 0
|
| 178 |
+
Trujet = 1
|
| 179 |
+
|
| 180 |
+
else:
|
| 181 |
+
Jet_Airways = 0
|
| 182 |
+
IndiGo = 0
|
| 183 |
+
Air_India = 0
|
| 184 |
+
Multiple_carriers = 0
|
| 185 |
+
SpiceJet = 0
|
| 186 |
+
Vistara = 0
|
| 187 |
+
GoAir = 0
|
| 188 |
+
Multiple_carriers_Premium_economy = 0
|
| 189 |
+
Jet_Airways_Business = 0
|
| 190 |
+
Vistara_Premium_economy = 0
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| 191 |
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Trujet = 0
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| 192 |
+
|
| 193 |
+
Source = request.form["Source"]
|
| 194 |
+
if (Source == 'Delhi'):
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| 195 |
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s_Delhi = 1
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| 196 |
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s_Kolkata = 0
|
| 197 |
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s_Mumbai = 0
|
| 198 |
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s_Chennai = 0
|
| 199 |
+
|
| 200 |
+
elif (Source == 'Kolkata'):
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| 201 |
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s_Delhi = 0
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| 202 |
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s_Kolkata = 1
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| 203 |
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s_Mumbai = 0
|
| 204 |
+
s_Chennai = 0
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| 205 |
+
|
| 206 |
+
elif (Source == 'Mumbai'):
|
| 207 |
+
s_Delhi = 0
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| 208 |
+
s_Kolkata = 0
|
| 209 |
+
s_Mumbai = 1
|
| 210 |
+
s_Chennai = 0
|
| 211 |
+
|
| 212 |
+
elif (Source == 'Chennai'):
|
| 213 |
+
s_Delhi = 0
|
| 214 |
+
s_Kolkata = 0
|
| 215 |
+
s_Mumbai = 0
|
| 216 |
+
s_Chennai = 1
|
| 217 |
+
|
| 218 |
+
else:
|
| 219 |
+
s_Delhi = 0
|
| 220 |
+
s_Kolkata = 0
|
| 221 |
+
s_Mumbai = 0
|
| 222 |
+
s_Chennai = 0
|
| 223 |
+
|
| 224 |
+
|
| 225 |
+
Destination = request.form["Destination"]
|
| 226 |
+
if (Destination == 'Cochin'):
|
| 227 |
+
d_Cochin = 1
|
| 228 |
+
d_Delhi = 0
|
| 229 |
+
d_Hyderabad = 0
|
| 230 |
+
d_Kolkata = 0
|
| 231 |
+
|
| 232 |
+
elif (Destination == 'Delhi'):
|
| 233 |
+
d_Cochin = 0
|
| 234 |
+
d_Delhi = 1
|
| 235 |
+
d_Hyderabad = 0
|
| 236 |
+
d_Kolkata = 0
|
| 237 |
+
|
| 238 |
+
elif (Destination == 'Hyderabad'):
|
| 239 |
+
d_Cochin = 0
|
| 240 |
+
d_Delhi = 0
|
| 241 |
+
d_Hyderabad = 1
|
| 242 |
+
d_Kolkata = 0
|
| 243 |
+
|
| 244 |
+
elif (Destination == 'Kolkata'):
|
| 245 |
+
d_Cochin = 0
|
| 246 |
+
d_Delhi = 0
|
| 247 |
+
d_Hyderabad = 0
|
| 248 |
+
d_Kolkata = 1
|
| 249 |
+
|
| 250 |
+
else:#Banglore
|
| 251 |
+
d_Cochin = 0
|
| 252 |
+
d_Delhi = 0
|
| 253 |
+
d_Hyderabad = 0
|
| 254 |
+
d_Kolkata = 0
|
| 255 |
+
|
| 256 |
+
output = model.predict([[Total_stops,
|
| 257 |
+
Journey_day,
|
| 258 |
+
Journey_month,
|
| 259 |
+
Departure_hour,
|
| 260 |
+
Departure_min,
|
| 261 |
+
Arrival_hour,
|
| 262 |
+
Arrival_min,
|
| 263 |
+
dur_hour,
|
| 264 |
+
dur_min,
|
| 265 |
+
Air_India,
|
| 266 |
+
GoAir,
|
| 267 |
+
IndiGo,
|
| 268 |
+
Jet_Airways,
|
| 269 |
+
Jet_Airways_Business,
|
| 270 |
+
Multiple_carriers,
|
| 271 |
+
Multiple_carriers_Premium_economy,
|
| 272 |
+
SpiceJet,
|
| 273 |
+
Trujet,
|
| 274 |
+
Vistara,
|
| 275 |
+
Vistara_Premium_economy,
|
| 276 |
+
s_Chennai,
|
| 277 |
+
s_Delhi,
|
| 278 |
+
s_Kolkata,
|
| 279 |
+
s_Mumbai,
|
| 280 |
+
d_Cochin,
|
| 281 |
+
d_Delhi,
|
| 282 |
+
d_Hyderabad,
|
| 283 |
+
d_Kolkata]])
|
| 284 |
+
|
| 285 |
+
output = round(output[0],2)
|
| 286 |
+
return render_template('home.html',predictions='You will have to Pay approx Rs. {}'.format(output))
|
| 287 |
+
|
| 288 |
+
|
| 289 |
+
if __name__ == '__main__':
|
| 290 |
+
app.run(debug=True)
|
flight price.ipynb
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
flight_rf.pkl
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bd7f420d1eb2cc1a20da7ea6294c0a145782721bdac9c96cce9140e6a82f2974
|
| 3 |
+
size 479386591
|
ss.png
ADDED
|
Git LFS Details
|
static/img/bg.jpg
ADDED
|
static/img/bg3.jpg
ADDED
|
static/img/bg4.jpg
ADDED
|
static/img/bg5.jpg
ADDED
|
static/img/bg6.jpg
ADDED
|
static/img/bg7.jpg
ADDED
|
Git LFS Details
|
templates/home.html
ADDED
|
@@ -0,0 +1,196 @@
|
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|
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|
|
|
|
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|
|
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|
|
|
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|
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|
|
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|
|
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|
|
|
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|
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|
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|
|
|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
| 1 |
+
<html lang="en">
|
| 2 |
+
<style>
|
| 3 |
+
body {
|
| 4 |
+
background-image: url('/static/img/bg7.jpg');
|
| 5 |
+
background-repeat: no-repeat;
|
| 6 |
+
background-attachment: fixed;
|
| 7 |
+
background-size: cover;
|
| 8 |
+
}
|
| 9 |
+
|
| 10 |
+
img {
|
| 11 |
+
display: block;
|
| 12 |
+
margin-left: auto;
|
| 13 |
+
margin-right: auto;
|
| 14 |
+
align-self: center;
|
| 15 |
+
}
|
| 16 |
+
|
| 17 |
+
.navbar {
|
| 18 |
+
background-color: #333333;
|
| 19 |
+
}
|
| 20 |
+
|
| 21 |
+
a {
|
| 22 |
+
color: #f1f9f9;
|
| 23 |
+
}
|
| 24 |
+
|
| 25 |
+
a:hover {
|
| 26 |
+
color: #f0f0f0;
|
| 27 |
+
}
|
| 28 |
+
|
| 29 |
+
.card {
|
| 30 |
+
border-radius: 1rem;
|
| 31 |
+
background-color: hotpink;
|
| 32 |
+
}
|
| 33 |
+
</style>
|
| 34 |
+
|
| 35 |
+
|
| 36 |
+
|
| 37 |
+
<head>
|
| 38 |
+
<meta charset="UTF-8">
|
| 39 |
+
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
| 40 |
+
<title>Flight Price Prediction</title>
|
| 41 |
+
|
| 42 |
+
|
| 43 |
+
<!-- BootStrap -->
|
| 44 |
+
<link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.5.0/css/bootstrap.min.css"
|
| 45 |
+
integrity="sha384-9aIt2nRpC12Uk9gS9baDl411NQApFmC26EwAOH8WgZl5MYYxFfc+NcPb1dKGj7Sk" crossorigin="anonymous">
|
| 46 |
+
|
| 47 |
+
|
| 48 |
+
</head>
|
| 49 |
+
|
| 50 |
+
<body>
|
| 51 |
+
|
| 52 |
+
<nav class="navbar navbar-inverse navbar-fixed-top">
|
| 53 |
+
<div class="container-fluid">
|
| 54 |
+
<div class="navbar-header">
|
| 55 |
+
<a class="navbar-brand" href="/" style='color: #e1f4f3;'>FLIGHT PRICE</a>
|
| 56 |
+
</div>
|
| 57 |
+
</div>
|
| 58 |
+
</nav>
|
| 59 |
+
|
| 60 |
+
<div class="container my-5">
|
| 61 |
+
<form action="\predict" method="post">
|
| 62 |
+
|
| 63 |
+
<div class="row my-3">
|
| 64 |
+
|
| 65 |
+
<div class="col-sm-6">
|
| 66 |
+
<div class="card" style='border-radius: 2.15rem;opacity: 0.7;'>
|
| 67 |
+
<div class="card-body">
|
| 68 |
+
<h5 class="card-title">Departure Date</h5>
|
| 69 |
+
<input type="datetime-local" name="Dep_Time" id="Dep_Time" required="required">
|
| 70 |
+
</div>
|
| 71 |
+
</div>
|
| 72 |
+
</div>
|
| 73 |
+
|
| 74 |
+
|
| 75 |
+
<div class="col-sm-6">
|
| 76 |
+
<div class="card" style='border-radius: 2.15rem;opacity: 0.7;'>
|
| 77 |
+
<div class="card-body">
|
| 78 |
+
<h5 class="card-title">Arrival Date</h5>
|
| 79 |
+
<input type="datetime-local" name="Arrival_Time" id="Arrival_Time" required="required">
|
| 80 |
+
</div>
|
| 81 |
+
</div>
|
| 82 |
+
</div>
|
| 83 |
+
</div>
|
| 84 |
+
|
| 85 |
+
|
| 86 |
+
|
| 87 |
+
<div class="row my-3">
|
| 88 |
+
|
| 89 |
+
<div class="col-sm-6">
|
| 90 |
+
<div class="card" style='border-radius: 2.15rem;opacity: 0.7;'>
|
| 91 |
+
<div class="card-body">
|
| 92 |
+
<h5 class="card-title">Source</h5>
|
| 93 |
+
<select name="Source" id="Source" required="required">
|
| 94 |
+
<option value="Delhi">Delhi</option>
|
| 95 |
+
<option value="Kolkata">Kolkata</option>
|
| 96 |
+
<option value="Banglore">Banglore</option>
|
| 97 |
+
<option value="Mumbai">Mumbai</option>
|
| 98 |
+
<option value="Chennai">Chennai</option>
|
| 99 |
+
</select>
|
| 100 |
+
</div>
|
| 101 |
+
</div>
|
| 102 |
+
</div>
|
| 103 |
+
|
| 104 |
+
<div class="col-sm-6">
|
| 105 |
+
<div class="card" style='border-radius: 2.15rem;opacity: 0.7;'>
|
| 106 |
+
<div class="card-body">
|
| 107 |
+
<h5 class="card-title">Destination</h5>
|
| 108 |
+
<select name="Destination" id="Destination" required="required">
|
| 109 |
+
<option value="Cochin">Cochin</option>
|
| 110 |
+
<option value="Delhi">Delhi</option>
|
| 111 |
+
<option value="Banglore">Banglore</option>
|
| 112 |
+
<option value="Hyderabad">Hyderabad</option>
|
| 113 |
+
<option value="Kolkata">Kolkata</option>
|
| 114 |
+
</select>
|
| 115 |
+
</div>
|
| 116 |
+
</div>
|
| 117 |
+
</div>
|
| 118 |
+
</div>
|
| 119 |
+
|
| 120 |
+
|
| 121 |
+
<div class="row my-3">
|
| 122 |
+
|
| 123 |
+
<div class="col-sm-6">
|
| 124 |
+
<div class="card" style='border-radius: 2.15rem;opacity: 0.7;'>
|
| 125 |
+
<div class="card-body">
|
| 126 |
+
<h5 class="card-title">Stopage</h5>
|
| 127 |
+
<select name="stops" required="required">
|
| 128 |
+
<option value="0">Non-Stop</option>
|
| 129 |
+
<option value="1">1</option>
|
| 130 |
+
<option value="2">2</option>
|
| 131 |
+
<option value="3">3</option>
|
| 132 |
+
<option value="4">4</option>
|
| 133 |
+
</select>
|
| 134 |
+
</div>
|
| 135 |
+
</div>
|
| 136 |
+
</div>
|
| 137 |
+
|
| 138 |
+
<div class="col-sm-6">
|
| 139 |
+
<div class="card" style='border-radius: 2.15rem;opacity: 0.7;'>
|
| 140 |
+
<div class="card-body">
|
| 141 |
+
<h5 class="card-title">Which Airline you want to travel?</h5>
|
| 142 |
+
<select name="airline" id="airline" required="required">
|
| 143 |
+
<option value="Jet Airways">Jet Airways</option>
|
| 144 |
+
<option value="IndiGo">IndiGo</option>
|
| 145 |
+
<option value="Air India">Air India</option>
|
| 146 |
+
<option value="Multiple carriers">Multiple carriers</option>
|
| 147 |
+
<option value="SpiceJet">SpiceJet</option>
|
| 148 |
+
<option value="Vistara">Vistara</option>
|
| 149 |
+
<option value="Air Asia">Air Asia</option>
|
| 150 |
+
<option value="GoAir">GoAir</option>
|
| 151 |
+
<option value="Multiple carriers Premium economy">Multiple carriers Premium economy
|
| 152 |
+
</option>
|
| 153 |
+
<option value="Jet Airways Business">Jet Airways Business</option>
|
| 154 |
+
<option value="Vistara Premium economy">Vistara Premium economy</option>
|
| 155 |
+
<option value="Trujet">Trujet</option>
|
| 156 |
+
</select>
|
| 157 |
+
</div>
|
| 158 |
+
</div>
|
| 159 |
+
</div>
|
| 160 |
+
</div>
|
| 161 |
+
|
| 162 |
+
|
| 163 |
+
|
| 164 |
+
|
| 165 |
+
<div style='text-align:center'>
|
| 166 |
+
<button type="submit" value='Submit' class="btn btn-primary px-5" style="font-size: 25px;">Submit</button>
|
| 167 |
+
</div>
|
| 168 |
+
</form>
|
| 169 |
+
|
| 170 |
+
<h1 style='text-align: center;color: ivory;'><b>{{ predictions }}</b></h1>
|
| 171 |
+
|
| 172 |
+
|
| 173 |
+
<footer class='text-light bg-dark position-fixed fixed-bottom '>
|
| 174 |
+
<p class='text-center py my-0'>
|
| 175 |
+
Made with ❤ by Abhishek Sharma
|
| 176 |
+
</p>
|
| 177 |
+
</footer>
|
| 178 |
+
</div>
|
| 179 |
+
|
| 180 |
+
|
| 181 |
+
|
| 182 |
+
|
| 183 |
+
<!-- JavaScript -->
|
| 184 |
+
<script src="https://code.jquery.com/jquery-3.5.1.slim.min.js"
|
| 185 |
+
integrity="sha384-DfXdz2htPH0lsSSs5nCTpuj/zy4C+OGpamoFVy38MVBnE+IbbVYUew+OrCXaRkfj"
|
| 186 |
+
crossorigin="anonymous"></script>
|
| 187 |
+
<script src="https://cdn.jsdelivr.net/npm/popper.js@1.16.0/dist/umd/popper.min.js"
|
| 188 |
+
integrity="sha384-Q6E9RHvbIyZFJoft+2mJbHaEWldlvI9IOYy5n3zV9zzTtmI3UksdQRVvoxMfooAo"
|
| 189 |
+
crossorigin="anonymous"></script>
|
| 190 |
+
<script src="https://stackpath.bootstrapcdn.com/bootstrap/4.5.0/js/bootstrap.min.js"
|
| 191 |
+
integrity="sha384-OgVRvuATP1z7JjHLkuOU7Xw704+h835Lr+6QL9UvYjZE3Ipu6Tp75j7Bh/kR0JKI"
|
| 192 |
+
crossorigin="anonymous"></script>
|
| 193 |
+
|
| 194 |
+
</body>
|
| 195 |
+
|
| 196 |
+
</html>
|