Shubhambg611
/
Diamond-price-prediction-project
connected to https://github.com/Shubhambg611/Diamond-price-prediction-project.git


  
1

	
2

	
3

	
4

	
5

	
6

	
7

	
8

	
9

	
10

	
11

	
12

	
13

	
14

	
15

	
16

	
17

	
18

	
19

	
20

	
21

	
22

	
23

	
24

	
25

	
26

	
27

	
28

	
29

	
30

	
31

	
32

	
33

	
34

	
35

	
36

	
37

	
38

	
39

	
40

	
41

	
42

	
43

	
44

	
45

	
46

	
47

	
48

	
49

	
from src.DimondPricePrediction.pipelines.prediction_pipeline import CustomData,PredictPipeline

from flask import Flask,request,render_template,jsonify


app=Flask(__name__)


@app.route('/')

def home_page():
    return render_template("index.html")


@app.route("/predict",methods=["GET","POST"])
def predict_datapoint():
    if request.method == "GET":
        return render_template("form.html")
    
    else:
        data=CustomData(
            
            carat=float(request.form.get('carat')),
            depth = float(request.form.get('depth')),
            table = float(request.form.get('table')),
            x = float(request.form.get('x')),
            y = float(request.form.get('y')),
            z = float(request.form.get('z')),
            cut = request.form.get('cut'),
            color= request.form.get('color'),
            clarity = request.form.get('clarity')
        )
        # this is my final data
        final_data=data.get_data_as_dataframe()
        
        predict_pipeline=PredictPipeline()
        
        pred=predict_pipeline.predict(final_data)
        
        result=round(pred[0],2)
        
        return render_template("result.html",final_result=result)

#execution begin
if __name__ == '__main__':
    app.run(host="0.0.0.0",port=8080)