└── MLForCloudDeployment_Heroku
    ├── MLForCloudDeployment_Heroku.pdf
    ├── app.py
    ├── finalized_model.pickle
    ├── requirements.txt
    ├── static
        └── css
        │   ├── main.css
        │   └── style.css
    ├── templates
        ├── base.html
        ├── index.html
        └── results.html
    └── train.py


/MLForCloudDeployment_Heroku/MLForCloudDeployment_Heroku.pdf:
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https://raw.githubusercontent.com/iNeuronai/MachineLearningModelToHeroku/cc979fb3cd8146f515e925abca6701de6bb581ab/MLForCloudDeployment_Heroku/MLForCloudDeployment_Heroku.pdf


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/MLForCloudDeployment_Heroku/app.py:
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 1 | 
 2 | # importing the necessary dependencies
 3 | from flask import Flask, render_template, request,jsonify
 4 | from flask_cors import CORS,cross_origin
 5 | import pickle
 6 | 
 7 | app = Flask(__name__) # initializing a flask app
 8 | 
 9 | @app.route('/',methods=['GET'])  # route to display the home page
10 | @cross_origin()
11 | def homePage():
12 |     return render_template("index.html")
13 | 
14 | @app.route('/predict',methods=['POST','GET']) # route to show the predictions in a web UI
15 | @cross_origin()
16 | def index():
17 |     if request.method == 'POST':
18 |         try:
19 |             #  reading the inputs given by the user
20 |             gre_score=float(request.form['gre_score'])
21 |             toefl_score = float(request.form['toefl_score'])
22 |             university_rating = float(request.form['university_rating'])
23 |             sop = float(request.form['sop'])
24 |             lor = float(request.form['lor'])
25 |             cgpa = float(request.form['cgpa'])
26 |             is_research = request.form['research']
27 |             if(is_research=='yes'):
28 |                 research=1
29 |             else:
30 |                 research=0
31 |             filename = 'finalized_model.pickle'
32 |             loaded_model = pickle.load(open(filename, 'rb')) # loading the model file from the storage
33 |             # predictions using the loaded model file
34 |             prediction=loaded_model.predict([[gre_score,toefl_score,university_rating,sop,lor,cgpa,research]])
35 |             print('prediction is', prediction)
36 |             # showing the prediction results in a UI
37 |             return render_template('results.html',prediction=round(100*prediction[0]))
38 |         except Exception as e:
39 |             print('The Exception message is: ',e)
40 |             return 'something is wrong'
41 |     # return render_template('results.html')
42 |     else:
43 |         return render_template('index.html')
44 | 
45 | 
46 | 
47 | if __name__ == "__main__":
48 |     #app.run(host='127.0.0.1', port=8001, debug=True)
49 | 	app.run(debug=True) # running the app


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/MLForCloudDeployment_Heroku/finalized_model.pickle:
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https://raw.githubusercontent.com/iNeuronai/MachineLearningModelToHeroku/cc979fb3cd8146f515e925abca6701de6bb581ab/MLForCloudDeployment_Heroku/finalized_model.pickle


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/MLForCloudDeployment_Heroku/requirements.txt:
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 1 | certifi==2019.11.28
 2 | Click==7.0
 3 | Flask==1.1.1
 4 | Flask-Cors==3.0.8
 5 | gunicorn==20.0.4
 6 | itsdangerous==1.1.0
 7 | Jinja2==2.10.3
 8 | joblib==0.14.0
 9 | MarkupSafe==1.1.1
10 | numpy==1.17.4
11 | scikit-learn==0.21.3
12 | scipy==1.3.2
13 | six==1.13.0
14 | Werkzeug==0.16.0
15 | 


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/MLForCloudDeployment_Heroku/static/css/main.css:
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 1 | body, html {
 2 |     margin: 0;
 3 |     font-family: sans-serif;
 4 | }
 5 | 
 6 | .content {
 7 |     margin: 0 auto;
 8 |     width: 400px;
 9 | }
10 | 
11 | table, td, th {
12 |     border: 1px solid #aaa;
13 | }
14 | 
15 | table {
16 |     border-collapse: collapse;
17 |     width: 100%;
18 | }
19 | 
20 | th {
21 |     height: 30px;
22 | }
23 | 
24 | td {
25 |     text-align: center;
26 |     padding: 5px;
27 | }
28 | 
29 | .form {
30 |     margin-top: 20px;
31 | }
32 | 
33 | #content {
34 |     width: 70%;
35 | }


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/MLForCloudDeployment_Heroku/static/css/style.css:
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  1 | body {
  2 |   background-color: #91ced4;
  3 | }
  4 | body * {
  5 |   box-sizing: border-box;
  6 | }
  7 | 
  8 | .header {
  9 |   background-color: #327a81;
 10 |   color: white;
 11 |   font-size: 1.5em;
 12 |   padding: 1rem;
 13 |   text-align: center;
 14 |   text-transform: uppercase;
 15 | }
 16 | 
 17 | img {
 18 |   border-radius: 50%;
 19 |   height: 60px;
 20 |   width: 60px;
 21 | }
 22 | 
 23 | .table-users {
 24 |   border: 1px solid #327a81;
 25 |   border-radius: 10px;
 26 |   box-shadow: 3px 3px 0 rgba(0, 0, 0, 0.1);
 27 |   max-width: calc(100% - 2em);
 28 |   margin: 1em auto;
 29 |   overflow: hidden;
 30 |   width: 800px;
 31 | }
 32 | 
 33 | table {
 34 |   width: 100%;
 35 | }
 36 | table td, table th {
 37 |   color: #2b686e;
 38 |   padding: 10px;
 39 | }
 40 | table td {
 41 |   text-align: center;
 42 |   vertical-align: middle;
 43 | }
 44 | table td:last-child {
 45 |   font-size: 0.95em;
 46 |   line-height: 1.4;
 47 |   text-align: left;
 48 | }
 49 | table th {
 50 |   background-color: #daeff1;
 51 |   font-weight: 300;
 52 | }
 53 | table tr:nth-child(2n) {
 54 |   background-color: white;
 55 | }
 56 | table tr:nth-child(2n+1) {
 57 |   background-color: #edf7f8;
 58 | }
 59 | 
 60 | @media screen and (max-width: 700px) {
 61 |   table, tr, td {
 62 |     display: block;
 63 |   }
 64 | 
 65 |   td:first-child {
 66 |     position: absolute;
 67 |     top: 50%;
 68 |     -webkit-transform: translateY(-50%);
 69 |             transform: translateY(-50%);
 70 |     width: 100px;
 71 |   }
 72 |   td:not(:first-child) {
 73 |     clear: both;
 74 |     margin-left: 100px;
 75 |     padding: 4px 20px 4px 90px;
 76 |     position: relative;
 77 |     text-align: left;
 78 |   }
 79 |   td:not(:first-child):before {
 80 |     color: #91ced4;
 81 |     content: '';
 82 |     display: block;
 83 |     left: 0;
 84 |     position: absolute;
 85 |   }
 86 |   td:nth-child(2):before {
 87 |     content: 'Name:';
 88 |   }
 89 |   td:nth-child(3):before {
 90 |     content: 'Email:';
 91 |   }
 92 |   td:nth-child(4):before {
 93 |     content: 'Phone:';
 94 |   }
 95 |   td:nth-child(5):before {
 96 |     content: 'Comments:';
 97 |   }
 98 | 
 99 |   tr {
100 |     padding: 10px 0;
101 |     position: relative;
102 |   }
103 |   tr:first-child {
104 |     display: none;
105 |   }
106 | }
107 | @media screen and (max-width: 500px) {
108 |   .header {
109 |     background-color: transparent;
110 |     color: white;
111 |     font-size: 2em;
112 |     font-weight: 700;
113 |     padding: 0;
114 |     text-shadow: 2px 2px 0 rgba(0, 0, 0, 0.1);
115 |   }
116 | 
117 |   img {
118 |     border: 3px solid;
119 |     border-color: #daeff1;
120 |     height: 100px;
121 |     margin: 0.5rem 0;
122 |     width: 100px;
123 |   }
124 | 
125 |   td:first-child {
126 |     background-color: #c8e7ea;
127 |     border-bottom: 1px solid #91ced4;
128 |     border-radius: 10px 10px 0 0;
129 |     position: relative;
130 |     top: 0;
131 |     -webkit-transform: translateY(0);
132 |             transform: translateY(0);
133 |     width: 100%;
134 |   }
135 |   td:not(:first-child) {
136 |     margin: 0;
137 |     padding: 5px 1em;
138 |     width: 100%;
139 |   }
140 |   td:not(:first-child):before {
141 |     font-size: .8em;
142 |     padding-top: 0.3em;
143 |     position: relative;
144 |   }
145 |   td:last-child {
146 |     padding-bottom: 1rem !important;
147 |   }
148 | 
149 |   tr {
150 |     background-color: white !important;
151 |     border: 1px solid #6cbec6;
152 |     border-radius: 10px;
153 |     box-shadow: 2px 2px 0 rgba(0, 0, 0, 0.1);
154 |     margin: 0.5rem 0;
155 |     padding: 0;
156 |   }
157 | 
158 |   .table-users {
159 |     border: none;
160 |     box-shadow: none;
161 |     overflow: visible;
162 |   }
163 | }
164 | 


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/MLForCloudDeployment_Heroku/templates/base.html:
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 1 | <!DOCTYPE html>
 2 | <html lang="en">
 3 | <head>
 4 |     <meta charset="UTF-8">
 5 |     <meta name="viewport" content="width=device-width, initial-scale=1.0">
 6 |     <meta http-equiv="X-UA-Compatible" content="ie=edge">
 7 |     <link rel="stylesheet" href="{{ url_for('static', filename='css/main.css') }}">
 8 |     {% block head %}{% endblock %}
 9 | </head>
10 | <body>
11 |     {% block body %}{% endblock %}
12 | </body>
13 | </html>


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/MLForCloudDeployment_Heroku/templates/index.html:
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 1 | {% extends 'base.html' %}
 2 | 
 3 | {% block head %}
 4 | 
 5 | <title>Search Page</title>
 6 | <link rel="stylesheet" href="{{ url_for('static', filename='css/style.css') }}">
 7 | {% endblock %}
 8 | 
 9 | {% block body %}
10 | <div class="content">
11 |     <h1 style="text-align: center">Predict Your chances for Admission</h1>
12 | 
13 |     <div class="form">
14 |         <form action="/predict" method="POST">
15 |             <input type="number" name="gre_score" id="gre_score" placeholder="GRE Score">
16 |             <input type="number" name="toefl_score" id="toefl_score" placeholder="TOEFL Score">
17 |             <input type="number" name="university_rating" id="university_rating" placeholder="University Rating">
18 |             <input type="number" name="sop" id="sop" placeholder="SOP Score">
19 |             <input type="number" name="lor" id="lor" placeholder="LOR Score">
20 |             <input type="number" name="cgpa" id="cgpa"placeholder="CGPA" step="any">
21 |             <select name="research" id="research">
22 |   <option value="yes">Yes</option>
23 |   <option value="no">No</option>
24 | </select>
25 |             <input type="submit" value="Predict">
26 |         </form>
27 |     </div>
28 | </div>
29 | {% endblock %}


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/MLForCloudDeployment_Heroku/templates/results.html:
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 1 | <!DOCTYPE html>
 2 | <html lang="en" >
 3 | 
 4 | <head>
 5 |   <meta charset="UTF-8">
 6 |   <title>Review Page</title>
 7 | 
 8 |     <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/normalize/5.0.0/normalize.min.css">
 9 | 
10 | 
11 |       <link rel="stylesheet" href="./style.css">
12 |     <link rel="stylesheet" href="{{ url_for('static', filename='css/style.css') }}">
13 | 
14 | 
15 | </head>
16 | 
17 | <body>
18 | 
19 |   <div class="table-users">
20 |    <div class="header">Prediction</div>
21 | 
22 |       <p>Your chance for admission is {{prediction}} percent</p>
23 | </div>
24 | 
25 | 
26 | 
27 | </body>
28 | 
29 | </html>
30 | 


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/MLForCloudDeployment_Heroku/train.py:
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1 | import pandas as pd
2 | from sklearn.model_selection import train_test_split
3 | from sklearn.linear_model import LinearRegression
4 | import pickle
5 | from sklearn.metrics import  r2_score
6 | print('t')


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