import gradio as gr
import numpy as np

def entropy(numbers):
    n = len(numbers)

    counts = np.bincount(X)
    probabilities = counts[np.nonzero(counts)] / n
    
    entropy_value = 0
    for i in range(len(probabilities)):
        result = result - probabilities[i] * np.log(probabilities[i])/np.log(2)

    return result

def string_to_list(string):
    # Divide the string into a list of substrings separated by commas
    substrings = string.split(',')
    
    # Convert each substring to an integer and add to a list
    response = substrings
    return response

def function(valores):
    return entropy(string_to_list(valores))

value1 = gr.Textbox(lines=3, label="Values", placeholder="Please enter the values separated by commas...")
value2 = gr.Textbox(lines=3, label="Result", placeholder="Result...")
                            
examples = [
    ["1,2,3,4,5,6,7,8,9"],
    ["1,1,1,1,1,1,1,1,2"],
    ["1,2,1,2,1,2,1,2,1"],
    ["8,8,8,8,8,8,8,8,8"],
    ["1,2,3,1,2,3,1,2,3"]
]

demo = gr.Interface(
    fn=function,
    inputs=value1,
    outputs=value2,
    title="Entropy calculator",
    examples=examples,
    description="Calculate the entropy of a set of numbers."
)

demo.launch(debug=True)