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from flask import Flask, render_template, request | ||
import jsonify | ||
import requests | ||
import pickle | ||
import numpy as np | ||
import sklearn | ||
from sklearn.preprocessing import StandardScaler | ||
app = Flask(__name__) | ||
model = pickle.load(open('xgbcl_model.pkl', 'rb')) | ||
@app.route('/',methods=['GET']) | ||
def Home(): | ||
return render_template('index.html') | ||
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@app.route("/predict", methods=['POST']) | ||
def predict(): | ||
if request.method == 'POST': | ||
ref_index = float(request.form['ref_index']) | ||
sodium = float(request.form['sodium']) | ||
magnesium = float(request.form['magnesium']) | ||
alum = float(request.form['alum']) | ||
silicon = float(request.form['silicon']) | ||
potash = float(request.form['potash']) | ||
barium = float(request.form['barium']) | ||
calcium = float(request.form['calcium']) | ||
iron = float(request.form['iron']) | ||
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params = np.array([[ref_index, sodium, magnesium, alum, silicon, potash, barium, calcium, iron]]) | ||
preds = model.predict(params) | ||
output = preds | ||
if output<0: | ||
return render_template('index.html',prediction_texts="This type of glass does not exist.") | ||
else: | ||
if output==1: | ||
return render_template('index.html',prediction_text="The Type of glass is Building Window (float processed)") | ||
elif output==2: | ||
return render_template('index.html',prediction_text="The Type of glass is Building Window (non float processed)") | ||
elif output==3: | ||
return render_template('index.html',prediction_text="The Type of glass is Vehicle Window (float processed)") | ||
elif output==4: | ||
return render_template('index.html',prediction_text="The Type of glass is Vehicle Window (non float processed)") | ||
elif output==5: | ||
return render_template('index.html',prediction_text="The Type of glass is Containers") | ||
elif output==6: | ||
return render_template('index.html',prediction_text="The Type of glass is Tableware") | ||
elif output==7: | ||
return render_template('index.html',prediction_text="The Type of glass is Headlamps") | ||
else: | ||
return render_template('index.html',prediction_text="Unable to classify the type of glass.") | ||
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else: | ||
return render_template('index.html') | ||
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if __name__=="__main__": | ||
app.run(debug=True) |
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<!DOCTYPE html> | ||
<html lang="en"> | ||
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<head> | ||
<meta charset="UTF-8"> | ||
<meta name="viewport" content="width=device-width, initial-scale=1.0"> | ||
<title>Document</title> | ||
</head> | ||
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<body> | ||
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<div style="color:rgb(133, 133, 226)"> | ||
<form action="{{ url_for('predict')}}" method="post"> | ||
<h2>Predictive analysis</h2> | ||
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<h3>Refractive Index</h3> | ||
<input id="ref_index" name="ref_index" type="number "> | ||
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<h3>What is the amount of Sodium? (With decimal precision)</h3><br><input id="sodium" name="sodium" required="required"> | ||
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<h3>What is the amount of Magnesium? (With decimal precision)</h3><br><input id="magnesium" name="magnesium" required="required"> | ||
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<h3>What is the amount of Alluminium? (With decimal precision)</h3><br><input id="alum" name="alum" required="required"> | ||
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<h3>What is the amount of Silicon? (With decimal precision)</h3><br><input id="silicon" name="silicon" required="required"> | ||
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<h3>What is the amount of Potassium? (With decimal precision)</h3><br><input id="potash" name="potash" required="required"> | ||
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<h3>What is the amount of Calcium? (With decimal precision)</h3><br><input id="calcium" name="calcium" required="required"> | ||
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<h3>What is the amount of Barium? (With decimal precision)</h3><br><input id="barium" name="barium" required="required"> | ||
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<h3>What is the amount of Iron? (With decimal precision)</h3><br><input id="iron" name="iron" required="required"> | ||
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<br><br><button id="sub" type="submit ">Classify the glass!</button> | ||
<br> | ||
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</form> | ||
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<br><br><h3>{{ prediction_text }}<h3> | ||
</div> | ||
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<style> | ||
body { | ||
background-color: rgb(20, 20, 20); | ||
text-align: center; | ||
padding: 0px; | ||
} | ||
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#research { | ||
font-size: 18px; | ||
width: 100px; | ||
height: 23px; | ||
top: 23px; | ||
} | ||
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#box { | ||
border-radius: 60px; | ||
border-color: 45px; | ||
border-style: solid; | ||
font-family: cursive; | ||
text-align: center; | ||
background-color: rgb(168, 131, 61); | ||
font-size: medium; | ||
position: absolute; | ||
width: 700px; | ||
bottom: 9%; | ||
height: 850px; | ||
right: 30%; | ||
padding: 0px; | ||
margin: 0px; | ||
font-size: 14px; | ||
} | ||
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#fuel { | ||
width: 83px; | ||
height: 43px; | ||
text-align: center; | ||
border-radius: 14px; | ||
font-size: 20px; | ||
} | ||
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#fuel:hover { | ||
background-color: coral; | ||
} | ||
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#research { | ||
width: 99px; | ||
height: 43px; | ||
text-align: center; | ||
border-radius: 14px; | ||
font-size: 18px; | ||
} | ||
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#research:hover { | ||
background-color: coral; | ||
} | ||
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#resea { | ||
width: 99px; | ||
height: 43px; | ||
text-align: center; | ||
border-radius: 14px; | ||
font-size: 18px; | ||
} | ||
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#resea:hover { | ||
background-color: coral; | ||
} | ||
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#sub { | ||
width: 120px; | ||
height: 43px; | ||
text-align: center; | ||
border-radius: 14px; | ||
font-size: 18px; | ||
} | ||
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#sub:hover { | ||
background-color: darkcyan; | ||
} | ||
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#first { | ||
border-radius: 14px; | ||
height: 25px; | ||
font-size: 20px; | ||
text-align: center; | ||
} | ||
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#second { | ||
border-radius: 14px; | ||
height: 25px; | ||
font-size: 20px; | ||
text-align: center; | ||
} | ||
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#third { | ||
border-radius: 14px; | ||
height: 25px; | ||
font-size: 20px; | ||
text-align: center; | ||
} | ||
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#fourth { | ||
border-radius: 14px; | ||
height: 25px; | ||
font-size: 20px; | ||
text-align: center; | ||
} | ||
</style> | ||
</body> | ||
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</html> |