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app.py
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app.py
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from flask import Flask,render_template,request
import pickle
import numpy as np
import pandas as pd
app=Flask(__name__)
a=open("car.pkl","rb")
model=pickle.load(a)
@app.route("/")
def home():
return render_template("index.html")
@app.route("/predict", methods=['POST'])
def predict():
if request.method == 'POST':
Year=int(request.form['Year'])
Present_Price=int(request.form['Present_Price'])
Kms_Driven=int(request.form['Kms_Driven'])
Kms_Driven2=np.log(Kms_Driven)
Owner=int(request.form['Owner'])
Fuel_Type=request.form['Fuel_Type']
if(Fuel_Type=='Petrol'):
Fuel_Type=2
elif(Fuel_Type=='Diesel'):
Fuel_Type=1
else:
Fuel_Type=0
Year=2020-Year
Seller_Type=request.form['Seller_Type']
if(Seller_Type=='Individual'):
Seller_Type=1
else:
Seller_Type=0
Transmission=request.form['Transmission']
if(Transmission=='Mannual'):
Transmission=1
else:
Transmission=0
prediction=model.predict([[Present_Price,Kms_Driven2,Owner,Year,Fuel_Type,Seller_Type,Transmission]])
output=round(prediction[0],2)
if output<0:
return render_template('index.html',prediction_texts="Sorry you cannot sell this car")
else:
return render_template('index.html',prediction_text="You Can Sell The Car at {} Lakhs".format(output))
else:
return render_template('index.html')
if __name__=="__main__":
app.run(debug=True)