import gradio
import numpy as np
import os
import sys
from datetime import datetime


def square(x):
    return x ** 2


def cage(text, n):
    print(f"Caged: {text} and processing {n} text(s) to cage.")
    caged_text = f"({text})"
    return caged_text


def caged_data(data):
    caged = []
    for d in data:
        caged.append(cage(d, len(data)))
    return caged


def client():
    # Sample usage of the functions
    x = 5
    print(f"The square of {x} is {square(x)}")

    text = "hello world"
    n = 10
    caged_text = cage(text, n)
    print(f"The caged text is: {caged_text}")

    data = ["apple", "banana", "cherry"]
    caged = caged_data(data)
    print(f"The caged data is: {caged}")


def host():
    # Initialize the Gradio interface
    iface = gradio.Interface(
        fn=cage,
        inputs=[
            gradio.inputs.Textbox(label="Text to Cage"),
            gradio.inputs.Number(label="Number of Texts to Process", default=1),
        ],
        outputs=gradio.outputs.Textbox(label="Caged Text"),
        title="Text Cager",
        description="Wrap your text in a cage!",
    )

    # Run the interface
    iface.launch()

client()
square(x)
cage(text, n)
caged_data(data)
host()