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‎README.md

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‎model.pkl

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‎model.py

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# Importing the libraries
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import numpy as np
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import matplotlib.pyplot as plt
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import pandas as pd
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import pickle
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from sklearn.ensemble import RandomForestClassifier
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from sklearn.model_selection import train_test_split
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#from sklearn.linear_model import LogisticRegression
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from sklearn.metrics import confusion_matrix
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from sklearn.metrics import roc_auc_score
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from sklearn.metrics import roc_curve
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from sklearn.metrics import accuracy_score
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from sklearn.metrics import precision_score
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from sklearn.metrics import recall_score
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diabetes = pd.read_csv('diabetes.csv')
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features = ['Pregnancies','PlasmaGlucose','DiastolicBloodPressure','TricepsThickness','SerumInsulin','BMI','DiabetesPedigree','Age']
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label = 'Diabetic'
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X, y = diabetes[features].values, diabetes[label].values
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# Split data 70%-30% into training set and test set
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X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.30, random_state=0)
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print ('Training cases: %d\nTest cases: %d' % (X_train.shape[0], X_test.shape[0]))
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reg = 0.1
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model = RandomForestClassifier(n_estimators=100).fit(X_train, y_train)
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#model = LogisticRegression(C=1/reg, solver="liblinear").fit(X_train, y_train)
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print (model)
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predictions = model.predict(X_test)
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y_scores = model.predict_proba(X_test)
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cm = confusion_matrix(y_test, predictions)
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print ('Confusion Matrix:\n',cm, '\n')
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print('Accuracy:', accuracy_score(y_test, predictions))
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print("Overall Precision:",precision_score(y_test, predictions))
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print("Overall Recall:",recall_score(y_test, predictions))
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auc = roc_auc_score(y_test,y_scores[:,1])
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print('\nAUC: ' + str(auc))
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# calculate ROC curve
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#fpr, tpr, thresholds = roc_curve(y_test, y_scores[:,1])
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# plot ROC curve
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#fig = plt.figure(figsize=(6, 6))
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# Plot the diagonal 50% line
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#plt.plot([0, 1], [0, 1], 'k--')
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# Plot the FPR and TPR achieved by our model
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#plt.plot(fpr, tpr)
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#plt.xlabel('False Positive Rate')
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#plt.ylabel('True Positive Rate')
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#plt.title('ROC Curve')
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#plt.show()
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# Saving model to disk
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pickle.dump(model, open('model.pkl','wb'))
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# Loading model to compare the results
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model = pickle.load(open('model.pkl','rb'))
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print(model.predict([[5, 114,101,43,70,36.5,0.079,38]]))

‎requirements.txt

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click==7.1.2
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Flask==1.1.2
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itsdangerous==1.1.0
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Jinja2==2.11.3
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joblib==1.0.1
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MarkupSafe==1.1.1
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numpy==1.20.2
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scikit-learn==0.24.1
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scipy==1.6.2
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threadpoolctl==2.1.0
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Werkzeug==1.0.1

‎static/diabetes-favicon.ico

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‎static/diabetes.webp

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‎static/no-diabetes.webp

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‎static/styles.css

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html{
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height: 100%;
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margin: 0;
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}
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body{
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font-family: Arial, Helvetica,sans-serif;
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text-align: center;
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margin: 0;
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padding: 0;
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width: 100%;
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height: 100%;
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display: flex;
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flex-direction: column;
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}
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/* Website Title */
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.container{
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padding: 30px;
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position: relative;
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background: linear-gradient(45deg, #443B96, #F60B68, #F4483A);
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background-size: 500% 500%;
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animation: change-gradient 10s ease-in-out infinite;
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}
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@keyframes change-gradient {
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0%{
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background-position: 0 50%;
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}
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50%{
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background-position: 100% 50%;
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}
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100%{
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background-position: 0 50%;
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}
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}
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.container-heading{
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margin: 0;
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}
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.heading_font{
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color: #ffffff;
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font-family: 'Pacifico', cursive;
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font-size: 35px;
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font-weight: normal;
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}
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.description p{
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color: #ffffff;
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font-style: italic;
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font-size: 14px;
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margin: -5px 0 0;
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}
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/* Text Area */
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.ml-container{
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margin: 30px 0;
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flex: 1 0 auto;
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}
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.form-input {
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text-align: center;
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width: 350px;
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height: 25px;
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margin-bottom: 5px;
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}
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/* Predict Button */
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.my-cta-button{
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background: #f9f9f9;
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border: 2px solid #000000;
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border-radius: 1000px;
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box-shadow: 3px 3px #8c8c8c;
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margin-top: 10px;
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padding: 10px 36px;
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color: #000000;
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display: inline-block;
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font: italic bold 20px/1 "Calibri", sans-serif;
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text-align: center;
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}
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.my-cta-button:hover{
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color: #4d089a;
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border: 2px solid #4d089a;
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}
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.my-cta-button:active{
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box-shadow: 0 0;
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}
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/* Contact */
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.contact-icon{
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color: #ffffff;
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padding: 7px;
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}
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.contact-icon:hover{
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color: #8c8c8c;
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}
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/* Footer */
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.footer{
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flex-shrink: 0;
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position: relative;
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padding: 20px;
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background: linear-gradient(45deg, #443B96, #F60B68, #F4483A);
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background-size: 500% 500%;
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animation: change-gradient 10s ease-in-out infinite;
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}
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.footer-description{
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color: #ffffff;
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margin: 0;
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font-size: 12px;
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}
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/* Result */
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.results{
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padding: 30px 0 0;
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flex: 1 0 auto;
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}
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.danger{
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color: #ff0000;
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}
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.safe{
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color: green;
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}
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.gif{
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width: 25%;
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}
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.gif1{
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width: 35%;
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margin: 10px 0;
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}

‎templates/index.html

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<!DOCTYPE html>
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<html lang="en" dir="ltr">
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<head>
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<meta charset="utf-8">
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<title>Diabetes Predictor</title>
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<link rel="shortcut icon" href="{{ url_for('static', filename='diabetes-favicon.ico') }}">
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<link rel="stylesheet" type="text/css" href="{{ url_for('static', filename='styles.css') }}">
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<script src="https://kit.fontawesome.com/5f3f547070.js" crossorigin="anonymous"></script>
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<link href="https://fonts.googleapis.com/css2?family=Pacifico&display=swap" rel="stylesheet">
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</head>
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<body>
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<!-- Website Title -->
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<div class="container">
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<h2 class='container-heading'><span class="heading_font">Diabetes Predictor</span></h2>
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</div>
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<!-- Text Area -->
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<div class="ml-container">
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<form action="{{ url_for('predict') }}" method="POST">
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<input class="form-input" type="text" name="pregnancies" placeholder="Number of Pregnancies eg. 0"><br>
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<input class="form-input" type="text" name="glucose" placeholder="Glucose (mg/dL) eg. 80"><br>
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<input class="form-input" type="text" name="bloodpressure" placeholder="Blood Pressure (mmHg) eg. 80"><br>
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<input class="form-input" type="text" name="skinthickness" placeholder="Skin Thickness (mm) eg. 20"><br>
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<input class="form-input" type="text" name="insulin" placeholder="Insulin Level (IU/mL) eg. 80"><br>
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<input class="form-input" type="text" name="bmi" placeholder="Body Mass Index (kg/m²) eg. 23.1"><br>
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<input class="form-input" type="text" name="dpf" placeholder="Diabetes Pedigree Function eg. 0.52"><br>
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<input class="form-input" type="text" name="age" placeholder="Age (years) eg. 34"><br>
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<input type="submit" class="my-cta-button" value="Predict">
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</form>
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</div>
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<!-- Footer -->
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<div class='footer'>
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</div>
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</body>
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</html>

‎templates/result.html

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<!DOCTYPE html>
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<html lang="en" dir="ltr">
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<head>
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<meta charset="utf-8">
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<title>Diabetes Predictor</title>
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<link rel="shortcut icon" href="{{ url_for('static', filename='diabetes-favicon.ico') }}">
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<link rel="stylesheet" type="text/css" href="{{ url_for('static', filename='styles.css') }}">
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<script src="https://kit.fontawesome.com/5f3f547070.js" crossorigin="anonymous"></script>
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<link href="https://fonts.googleapis.com/css2?family=Pacifico&display=swap" rel="stylesheet">
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</head>
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<body>
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<!-- Website Title -->
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<div class="container">
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<h2 class='container-heading'><span class="heading_font">Diabetes Predictor</span></h2>
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</div>
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<!-- Result -->
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<div class="results">
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{% if prediction==1 %}
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<h1>Prediction: <span class='danger'>Oops! You have DIABETES.</span></h1>
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<img class="gif" src="{{ url_for('static', filename='diabetes.webp') }}" alt="Diabetes Image">
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{% elif prediction==0 %}
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<h1>Prediction: <span class='safe'>Great! You DON'T have diabetes.</span></h1>
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<img class="gif1" src="{{ url_for('static', filename='no-diabetes.webp') }}" alt="Not Diabetes Image">
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{% endif %}
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</div>
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<!-- Footer -->
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<div class='footer'>
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</div>
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</body>
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</html>

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