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