import numpy as np
import gradio as gr

def sepia(input_img1, input_img2):
    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_img1.dot(sepia_filter.T)
    sepia_img /= sepia_img.max()
    return sepia_img

demo = gr.Interface(fn=sepia, inputs=[gr.Image(shape=(200, 200)), gr.Image(shape=(200, 200))], outputs=["image"])
demo.launch()