Hi I am new to exposing Ml models as flask API. Below is my code:

```
import numpy as np
from nltk.corpus import wordnet
from nltk.stem.wordnet import WordNetLemmatizer
import re
from sklearn.externals import joblib
import warnings

warnings.filterwarnings('ignore')
from flask import Flask, jsonify, request

app = Flask(__name__)

@app.route("/glcoding", methods=['POST'])    
def mylemmatize(token):
    lmtzr = WordNetLemmatizer()
    lemmas = {}
    lemma = None
    if not token in lemmas:
         lemma = wordnet.morphy(token)

    if not lemma:

         lemma = token

    if lemma == token:
         lemma = lmtzr.lemmatize(token)

    lemmas[token] = lemma

    return lemmas[token]

def cleanmytext(text):
   words = map(mylemmatize,text.lower().split())
   return ' '.join(words)

def glcoding():
    if request.method == 'POST':
         json_data = request.get_json()         
         data = pd.read_json(json_data, orient='index') 

         data['Invoice line item description'] = data['Invoice line item description'].apply(cleanmytext)

    return jsonify(data)

if __name__ == '__main__':
     app.run()

```

With the below code I am calling the API:

```
from flask import Flask, jsonify, request
import requests, json

 BASE_URL = "http://127.0.0.1:5000"

  data = '{"0":{"Vendor Number": "166587","Invoice line item description":"Petrol charges with electricity"}}'

  response = requests.post("{}/glcoding".format(BASE_URL), json = data)

  response.json()

```

I am getting a error as mentioned below:

```
Traceback (most recent call last):
  TypeError: mylemmatize() takes exactly 1 argument (0 given)
    127.0.0.1 - - [16/Mar/2018 14:31:51] "POST /glcoding HTTP/1.1" 500 -

```

The above code is working fine when I am not exposing it as an API. But it is throwing up an error only when called from an API. Please help