Flames Calculater App used to calculate flames status between two names created using python's Flask web framework.

Overview

Flames Finder Web App

made-with-python html python flask heroku vscode

  • Flames Calculater App used to calculate flames status between two names created using python's Flask web framework.
  • First, App gets the two names from the user and check if there is any uncommon letters.
  • If There no uncommon letters then app will display a info message as output.
  • If There is uncommon letters between two names then app will calculate flames status for that two names.
  • Then displays the relationship status as output to the user.

Installation :-

To install all necessary requirement packages for the app 👇

pip install -r requirements.txt

Function to Calculate Flames:-

1: c = count % len(status_list) index = c - 1 if index >= 0: left = status_list[:index] right = status_list[index + 1 :] status_list = right + left else: status_list = status_list[: len(status_list) - 1] return "Relationship Status : {}".format(status_list[0]) ">
def flames(name1, name2):
    name1 = name1.lower().replace(" ", "")
    name2 = name2.lower().replace(" ", "")
    for i in name1:
        for j in name2:
            if i == j:
                name1 = name1.replace(i, "", 1)
                name2 = name2.replace(j, "", 1)
                break
    count = len(name1 + name2)
    if count <= 0:
        return "There is no uncommon letters in both Names, Try with another names..."
    status_list = ["Friends", "Love", "Affectionate", "Marriage", "Enemies", "Siblings"]
    while len(status_list) > 1:
        c = count % len(status_list)
        index = c - 1
        if index >= 0:
            left = status_list[:index]
            right = status_list[index + 1 :]
            status_list = right + left
        else:
            status_list = status_list[: len(status_list) - 1]
    return "Relationship Status : {}".format(status_list[0])

Demo GIF Image 👇 :-

output_image

Owner
Siva Prakash
I am a final year BCA student who more fascinated about data analysis and machine learning.
Siva Prakash
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