-
Notifications
You must be signed in to change notification settings - Fork 1
Expand file tree
/
Copy pathapp.py
More file actions
101 lines (86 loc) · 3.07 KB
/
Copy pathapp.py
File metadata and controls
101 lines (86 loc) · 3.07 KB
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
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
from flask import Flask, render_template, request, flash, redirect
import pickle
import numpy as np
import pandas as pd
app = Flask(__name__)
def predict(values, dic):
if len(values) == 8:
model = pickle.load(open('models/diabetes.pkl','rb'))
values = np.asarray(values)
return model.predict(values.reshape(1, -1))[0]
elif len(values) == 30:
model = pickle.load(open('models/cancer.pkl','rb'))
values = np.asarray(values)
return model.predict(values.reshape(1, -1))[0]
elif len(values) == 13:
model = pickle.load(open('models/heart.pkl','rb'))
input_features = [float(x) for x in request.form.values()]
features_value = [np.array(input_features)]
features_name = ['sex', 'age', 'cp', 'trestbps',
'chol', 'fbs', 'restecg',
'thalach', 'exang', 'oldpeak',
'slope', 'ca', 'thal']
df = pd.DataFrame(features_value, columns=features_name)
output = model.predict(df)
if output == 0:
pred = 1
else:
pred = 0
return pred
elif len(values) == 18:
model = pickle.load(open('models/kidney.pkl','rb'))
values = np.asarray(values)
return model.predict(values.reshape(1, -1))[0]
elif len(values) == 10:
model = pickle.load(open('models/liver.pkl','rb'))
values = np.asarray(values)
return model.predict(values.reshape(1, -1))[0]
@app.route('/')
@app.route('/home')
def home():
return render_template('index.html')
@app.route('/heart')
def heart():
return render_template('heart.html')
@app.route('/liver')
def liver():
return render_template('liver.html')
@app.route('/kidney')
def kidney():
return render_template('kidney.html')
@app.route('/cancer')
def cancer():
return render_template('cancer.html')
@app.route('/diabetes')
def diabetes():
return render_template('diabetes.html')
def name(values, dic):
if len(values) == 8:
disease="Diabetes"
return disease
elif len(values) == 30:
disease="Breast Cancer"
return disease
elif len(values) == 13:
disease = "Heart Disease"
return disease
elif len(values) == 18:
disease = "Kidney Disease"
return disease
elif len(values) == 10:
disease = "Liver Disease"
return disease
@app.route("/predict", methods = ['POST', 'GET'])
def predictPage():
try:
if request.method == 'POST':
to_predict_dict = request.form.to_dict()
to_predict_list = list(map(float, list(to_predict_dict.values())))
pred = predict(to_predict_list, to_predict_dict)
disease = name(to_predict_list, to_predict_dict)
except:
message = "Please enter valid Data"
return render_template("index.html", message = message)
return render_template('result.html', pred = pred,name=disease)
if __name__ == "__main__":
app.run(debug=True)