sample.py

from sklearn import svmprediction = clf.classify_many(my_msg) ## make your prediction here 
from joblib import dump, load
## loading the model
clf = load('/home/saurabh/Desktop/smsspamcollection/frontend/model1.joblib') 
@app.route('/', methods = ["GET","POST"])
def index():
if(request.method == "POST"):
#city = request.form['city']
text_msg = request.form['sms']
my_msg = find_features(text_msg)
x = ""
if(prediction[0] == 0):
x = "Not a spam, it's ok "
else:
x = "it's a spam" 
return render_template('mainpage.html',prediction = x)
else:
return render_template('mainpage.html')