app.py

# Import Required Libraries

from flask import Flask,render_template,request,send_file,send_from_directory,jsonify
import pickle
import numpy as np

# We need to initialise the Flask object to run the flask app 
# By assigning parameters as static folder name,templates folder name

app = Flask(__name__,static_folder='static',template_folder='templates')

# We need to load the pickled model file so as to use it for the prediction

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

# For the root '/' we need to define a function in which we are rendering the template of index.html as default
# This rendering template is done if it get's any GET Request

@app.route('/',methods=['POST','GET'])
def main():
  if request.method=='GET':
    return render_template('index.html')

# For the root '/predict' we need to define a function named predict
# This function will take values from the ajax request and performs the prediction
# By getting response from flask to ajax it will display the response to the result field
# This whole above process occurs when request method is POST
# This rendering template is index.html if it get's any GET Request

@app.route('/predict',methods=['POST','GET'])
def predict():
  if request.method=='GET':
    return render_template('index.html')
  if request.method=='POST':
    # Converting all the form values to float and making them append in a list(features)
    features=[float(x) for x in request.form.values()]
    # Printing the features for debug purpose
    print(features)
    # Predicting the label for the features collected
    labels=model.predict([features])
    # Printing the labels array for debug purpose
    print(labels)
    # Storing the result from the labels array
    species=labels[0]
    # If species is 0 species is setosa else if species is 1 then species is VersiColor else it is Virginica
    if species==0:
    	s="It is Iris Setosa"
    elif species==1:
    	s="It is Iris VersiColor"
    else:
    	s="It is Iris Virginica"
    # Returning the response to ajax	
    return s
    
# It is the starting point of code
if __name__=='__main__':
  # We need to run the app to run the server
  app.run(debug=False)