import numpy as np
import gradio as gr

def sepia(input_img):
    sepia_filter = np.array(
        [[0.393, 0.769, 0.189], [0.349, 0.686, 0.168], [0.272, 0.534, 0.131]]
    )
    sepia_img = input_img.dot(sepia_filter.T)
    sepia_img /= sepia_img.max()
    return sepia_img

iface = gr.Interface(
    sepia,
    gr.components.Image(),
    "image",
    title="Convertidor de imagen a sepia",
    description="Sube una imagen y conviértela a sepia.",
    css=".footer{display:none !important}",
    inputs=[
        gr.components.Image(label="Imagen de entrada")
    ],
    outputs=[
        gr.components.Image(label="Imagen sepia")
    ],
    examples=[
        ["https://live.staticflickr.com/65535/51275594794_b6163c1ea6_z.jpg"]
    ],
    theme="compact",
    button_labels=["Limpiar", "Convertir a sepia"]
)
iface.launch()