frequency based recommender system

Fashion_Consultant.py

import os
import requests
import base64
import json

csv_file = "Tags_to_Tags.csv"
url_add = "https://blitz-db-service.herokuapp.com/add"

with open(csv_file,"r") as file1:
    fl = file1.read()
    for line in fl.split("\n"):
       data = line.split(",")
       if len(data) != 7:
           continue
       body_data = {
           "type_1": str(data[1]),
           "sub_type_1": str(data[2]),
           "color_1": str(data[0]),
           "type_2": str(data[4]),
           "sub_type_2": str(data[5]),
           "color_2": str(data[3])
       }
       json_1 = json.dumps(body_data, indent=4)
       print(json_1)
       r = requests.post(url=url_add,json=body_data)