MajorProject/app.py at main · himani0105/MajorProject · GitHub

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from flask import Flask , render_template, request
import pickle
import joblib,os
import numpy as np
from sklearn.preprocessing import StandardScaler
scaler = StandardScaler()


app = Flask(__name__)

@app.route("/")
def index():
    return render_template("home.html")

@app.route("/home")
def home():
    return render_template("home.html")

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

@app.route("/en")
def en():
    return render_template("en.html")

@app.route("/precautions")
def precautions():
    return render_template("precautions.html")

@app.route("/result", methods=['GET', 'POST'])
def result():
    gender = request.form["gender"]
    age = int(request.form["age"])
    hypertension = (request.form["hypertension"])
    disease = int(request.form["disease"])
    married = request.form["married"]
    work = request.form["work"]
    residence = request.form["residence"]
    glucose = float(request.form["glucose"])
    bmi = float(request.form["bmi"])
    smoking = request.form["smoking"]

# HANDLING CATEGORICAL DATA
# GENDER
#     if (gender == "Male"):
#         gender_male = 1
#         gender_other = 0
#         gender_female=0
#     elif (gender == "Other"):
#         gender_male = 0
#         gender_other = 1
#         gender_female=0
#     else:
#         gender_male = 0
#         gender_other =0
#         gender_female=1
# # MARRIED
#     if (married == "Yes"):
#         married_yes = 1
#         married_no=0
#     else:
#         married_yes = 0
#         married_no=1
# # WORK_TYPE
#     if (work == 'Self-employed'):
#         work_type_Never_worked = 0
#         work_type_Private = 0
#         work_type_Self_employed = 1
#         work_type_children = 0
#         work_type_Govt_job=0
#     elif (work == 'Private'):
#         work_type_Never_worked = 0
#         work_type_Private = 1
#         work_type_Self_employed = 0
#         work_type_children = 0
#         work_type_Govt_job=0
#     elif (work == 'children'):
#         work_type_Never_worked = 0
#         work_type_Private = 0
#         work_type_Self_employed = 0
#         work_type_children = 1
#         work_type_Govt_job=0
#     elif (work == 'Never_worked'):
#         work_type_Never_worked = 1
#         work_type_Private = 0
#         work_type_Self_employed = 0
#         work_type_children = 0
#         work_type_Govt_job=0
#     else:
#         work_type_Never_worked = 0
#         work_type_Private = 0
#         work_type_Self_employed = 0
#         work_type_children = 0
#         work_type_Govt_job=1
# # RESIDENCE_TYPE
#     if (residence == "Urban"):
#         Residence_type_Urban = 1
#         Residence_type_Rural=0
#     else:
#         Residence_type_Urban = 0
#         Residence_type_Rural=1
# # SMOKING_STATUS
#     if (smoking == 'formerly smoked'):
#         smoking_status_formerly_smoked = 1
#         smoking_status_never_smoked = 0
#         smoking_status_smokes = 0
#         smoking_status_Unknown=0
#     elif (smoking == 'smokes'):
#         smoking_status_formerly_smoked = 0
#         smoking_status_never_smoked = 0
#         smoking_status_smokes = 1
#         smoking_status_Unknown=0
#     elif (smoking == 'never smoked'):
#         smoking_status_formerly_smoked = 0
#         smoking_status_never_smoked = 1
#         smoking_status_smokes = 0
#         smoking_status_Unknown=0
#     else:
#         smoking_status_formerly_smoked = 0
#         smoking_status_never_smoked = 0
#         smoking_status_smokes = 0
#         smoking_status_Unknown=1

    x=np.array([gender,age,hypertension,disease,married,work,residence,
                glucose,bmi,smoking]).reshape(1,-1)

    scaler_path=os.path.join('C:/Users/siddhesh/Brain_Stroke_Prediction','models/scaler.pkl')
    scaler=None
    with open(scaler_path,'rb') as scaler_file:
        scaler=pickle.load(scaler_file)

    x=scaler.transform(x)

    model_path=os.path.join('C:/Users/siddhesh/Brain_Stroke_Prediction','models/rf.sav')
    rf=joblib.load(model_path)

    Y_pred=rf.predict(x)

    if (Y_pred==0):
        return render_template("nostroke.html")
    else:
        return render_template("stroke.html")


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