import gradio as gr
import numpy as np

def calculate_correlation(x_values, y_values):
    try:
        x_values = list(map(float, x_values.split('\n')))
        y_values = list(map(float, y_values.split('\n')))
    except ValueError:
        return "Error: All values must be numbers."

    if len(x_values) != len(y_values):
        return "Error: The number of X and Y values must be the same."

    n = len(x_values)
    sum_x = sum(x_values)
    sum_y = sum(y_values)
    sum_xy = sum(x * y for x, y in zip(x_values, y_values))
    sum_x_squared = sum(x * x for x in x_values)
    sum_y_squared = sum(y * y for y in y_values)

    numerator = n * sum_xy - sum_x * sum_y
    denominator = np.sqrt((n * sum_x_squared - sum_x ** 2) * (n * sum_y_squared - sum_y ** 2))

    if denominator == 0:
        return "Error: Cannot calculate correlation coefficient. Check your data."

    correlation = numerator / denominator
    return f"The Karl Pearson correlation coefficient is: {correlation:.10f}"

iface = gr.Interface(
    fn=calculate_correlation,
    inputs=[
        gr.components.Textbox(lines=10, placeholder="Enter X values (one per line)"),
        gr.components.Textbox(lines=10, placeholder="Enter Y values (one per line)")
    ],
    outputs="text",
    title="Karl Pearson Correlation Coefficient Calculator",
    description="Enter your X and Y values (one per line) to calculate the Karl Pearson correlation coefficient.",
    theme="compact"
)

iface.launch()