Hands-On Python Deep Learning for the Web

Creating an API to answer search queries

We will create an API that accepts queries in the form of HTTP requests and replies with suggestions of products based on the search query entered by the user. To do so, follow these steps:

1. We will begin by importing the required modules for the API. We discussed these imported modules in the previous section:

import numpy as npimport pandas as pdfrom nltk.corpus import stopwordsfrom nltk.tokenize import WordPunctTokenizerfrom sklearn.feature_extraction.text import TfidfVectorizerfrom sklearn.feature_extraction.text import CountVectorizerfrom flask import Flask, request, render_template, make_responsefrom flask_wtf import FlaskFormfrom wtforms import StringField, validatorsimport iofrom flask_restful ...