-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathapp.py
136 lines (133 loc) · 4.44 KB
/
app.py
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
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
from flask import Flask,Response,render_template
from flask import request
from werkzeug.utils import secure_filename
import json
import pickle
import os
path = os.getcwd()
#template_path=path+'/templates'
port = int(os.getenv("PORT", 3000))
upload_folder = path
ALLOWED_EXTENSIONS = set(['pkl','txt'])
app = Flask(__name__)
app.config['UPLOAD_FOLDER'] = upload_folder
@app.route('/upload')
def upload():
return render_template('upload.html')
@app.route('/predictSize', methods=['POST'])
def predict_size():
try:
# For Size
linReg3 = pickle.load(open('predictSize.pkl', 'rb'))
req_body = request.get_json(force=True)
param1 = req_body['Bedrooms']
param2 = req_body['Age']
param3 = req_body['Bathrooms']
param4 = req_body['Price']
pred = linReg3.predict([[param1, param2, param3, param4]])
result = pred[0]
msg = {
"Predicted size is": "%s" % (result)
}
resp = Response(response=json.dumps(msg),
status=200,\
mimetype="application/json")
return resp
except Exception as e:
print(e)
@app.route('/predictPrice', methods=['POST'])
def predict_price():
try:
# For Price
linReg1 = pickle.load(open('predictPrice.pkl', 'rb'))
req_body = request.get_json(force=True)
param1 = req_body['Size']
param2 = req_body['Bedrooms']
param3 = req_body['Age']
param4 = req_body['Bathrooms']
pred = linReg1.predict([[param1, param2, param3, param4]])
result = pred[0]
msg = {
"Predicted Price is": "%s" % (result)
}
resp = Response(response=json.dumps(msg),
status=200,\
mimetype="application/json")
return resp
except Exception as e:
print(e)
@app.route('/predictBedrooms', methods=['POST'])
def predict_bedrooms():
try:
# For Bedrooms
linReg2 = pickle.load(open('predictBedrooms.pkl', 'rb'))
req_body = request.get_json(force=True)
param1 = req_body['Size']
param2 = req_body['Age']
param3 = req_body['Bathrooms']
param4 = req_body['Price']
pred = linReg2.predict([[param1, param2, param3, param4]])
result = pred[0]
msg = {
"Predicted Bedrooms are": "%s" % (result)
}
resp = Response(response=json.dumps(msg),
status=200,\
mimetype="application/json")
return resp
except Exception as e:
print(e)
@app.route('/predictAge', methods=['POST'])
def predict_age():
try:
# For Age
linReg4 = pickle.load(open('predictAge.pkl', 'rb'))
req_body = request.get_json(force=True)
param1 = req_body['Size']
param2 = req_body['Bedrooms']
param3 = req_body['Bathrooms']
param4 = req_body['Price']
pred = linReg4.predict([[param1, param2, param3, param4]])
result = pred[0]
msg = {
"Predicted Age ": " is %s" % (result)
}
resp = Response(response=json.dumps(msg),
status=200,\
mimetype="application/json")
return resp
except Exception as e:
print(e)
@app.route('/predictBathrooms', methods=['POST'])
def predict_bathrooms():
try:
# For Bathrooms
linReg5 = pickle.load(open('predictBathrooms.pkl', 'rb'))
print('after model loaded')
req_body = request.get_json(force=True)
param1 = req_body['Size']
param2 = req_body['Bedrooms']
param3 = req_body['Age']
param4 = req_body['Price']
pred = linReg5.predict([[param1, param2, param3, param4]])
result = pred[0]
msg = {
"Predicted Bathrooms are": "%s" % (result)
}
resp = Response(response=json.dumps(msg),
status=200,\
mimetype="application/json")
return resp
except Exception as e:
print(e)
@app.route('/uploader', methods = ['GET','POST'])
def upload_file():
try:
f = request.files['file']
f.save(secure_filename(f.filename))
print('file uploaded successfully')
return 'file uploaded successfully'
except Exception as e:
print(e)
if __name__ == '__main__':
app.run(host='0.0.0.0',port=port)