import gradio as gr
import numpy as np

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()
    print(input_img.shape,sepia_img.shape)
    return sepia_img

demo = gr.Interface(
    sepia,  
    gr.Image(shape=(200,200)),"image"
)

demo.launch()