code: # Load libraries
  import flask
  import pandas as pd
  import tensorflow as tf
  import keras
  from keras.models import load_model
  
  # instantiate flask 
  app = flask.Flask(__name__)
  
  # load the model, and pass in the custom metric function
  global graph
  graph = tf.get_default_graph()
  model = load_model('Model_final.h5')
  
  @app.route('/apitest/<arg>')
  def apitest(arg):
      return 'API working'+arg
  
  app.run(host='0.0.0.0', debug=False, port=5005)
  
apis: tensorflow.get_default_graph