app.py

from flask import Flask, render_template, request, redirect
import pickle 
import numpy as np
import smtplib
from flask_mysqldb import MySQL
import yaml

#Initialize the flask App
app = Flask(__name__)

#configure db
db = yaml.load(open('db.yaml'))
app.config['MYSQL_HOST'] = db['mysql_host']
app.config['MYSQL_USER'] = db['mysql_user']
app.config['MYSQL_PASSWORD'] = db['mysql_password']
app.config['MYSQL_DB'] = db['mysql_db']

mysql = MySQL(app) 

model = pickle.load(open('model.pkl', 'rb'))

#default page of our web-app
@app.route('/')
def home():
    return render_template('index.html')

@app.route('/doctor')
def doctor():
    return render_template('doctor.html')

@app.route('/form')
def form():
    return render_template('form.html')

@app.route('/community')
def community():
    cur = mysql.connection.cursor()
    resultValue = cur.execute("SELECT * FROM blogs") #returns number of rows in the table
    if resultValue > 0:
        blogDetails = cur.fetchall() #all the names and emails would be stored
        return render_template('community.html', blogDetails = blogDetails )
    return render_template('community.html')

@app.route('/community/form', methods = ['GET', 'POST'])
def communityform():
    if request.method == 'POST':
        blogDetails = request.form
        title = blogDetails['title']
        content = blogDetails['content']
        cur = mysql.connection.cursor() #To execute query commands
        cur.execute("INSERT INTO blogs(title, content) VALUES(%s, %s)", (title, content))
        mysql.connection.commit() #to save changes in db
        cur.close()
        return redirect ('/community')
    return render_template('communityForm.html')


#To use the predict button in our web-app
@app.route('/predict',methods=['POST'])
def predict():
    #For rendering results on HTML GUI
    name = request.form['name']
    email = request.form['email']
    #int_features = [float(x) for x in request.form.values()]
    #print(int_features)
    data8 = request.form['age']
    data7 = request.form['fnc']
    data9 = request.form['covid']
    data1 = request.form['pregnancies']
    data2 = request.form['glucose']
    data3 = request.form['bp']
    data4 = request.form['thick']
    data5 = request.form['insulin']
    data6 = request.form['bmi']
    print(data9)
    print(type(data9))
    
    final_features = np.array([[data1, data2, data3, data4, data5, data6, data7, data8]])
    #final_features = [np.array(int_features)]
    prediction = model.predict_proba(final_features)
    print(prediction)
    output = '{0:.{1}f}'.format(10*prediction[0][1],2)
    predictText = "Greetings from DiaDictor\nOn the basis of the information provided by you , our predictor has calculated the risk of you getting diabetes. Rating on scale of 10 you have a rating of {}".format(output)
    if output>str(7) and data9 == str(1):
        content = "As you have suffered from covid earlier, you also have high chances of having Black Fungus as well. We suggest you to get an appointment with a doctor. Our appointment scheduler can help you get an appointment in your city."
    elif output > str(7) and data9 == str(0) :
        content = "We suggest you to get an appointment with a doctor. Our appointment scheduler can help you get an appointment in your city."
    else :
        content = "We suggest you to maintain your health. If in case you want to consult a doctor our appointment scheduler can help you get an appointment in your city."

    SUBJECT = 'Reg diabetes prediction by DiaDictor'
    TEXT = predictText + "\n" + content + "For further reference visit our webpage https://github.com/amankumar11/Diadictor\nThanks\nRegards\nDiadictor team"
    message = 'Subject: {}\n\n{}'.format(SUBJECT, TEXT)
    server = smtplib.SMTP("smtp.gmail.com", 587)
    server.starttls()
    server.login("Diadictor@gmail.com", "zjyiqqmrkoznqarr")
    server.sendmail("Diadictor@gmail.com", email, message)
    
    if output>str(7) and data9 == str(1):
        result_web = "Thank you " + name + " for using our Diabetes predictor."
        result_web2 = "We predict that the chances of you having diabetes"
        result_web3 = "is {} on the scale of 10.".format(output)
        result_web4 = "As you have suffered from covid earlier, you also have"
        result_web5 = "high chances of having Black Fungus as well."
        result_web6 = "We suggest you to consult a doctor."
    elif output>str(7) and data9 == str(0):
        result_web = "Thank you " + name + " for using our Diabetes predictor."
        result_web2 = "We predict that the chances of you having diabetes"
        result_web3 = "is {} on the scale of 10.".format(output)
        result_web4 = "We suggest you to consult a doctor."
        result_web5 = ""
        result_web6 = ""
    else :
        result_web = "Thank you " + name + " for using our Diabetes predictor."
        result_web2 = "We predict that the chances of you having diabetes"
        result_web3 = "is {} on the scale of 10.".format(output)
        result_web4 = ""
        result_web5 = ""
        result_web6 = ""

    return render_template('result.html', output = result_web,output2 = result_web2, output3 = result_web3, output4 = result_web4, output5 = result_web5, output6 = result_web6)

if __name__ == "__main__":
    app.run(debug = True, port=8000)