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()
    return sepia_img

def greet(name):
    return "Hello " + name + "!!"

demo = gr.Interface(fn=sepia, inputs="image", outputs="image")
demo.launch()

# iface = gr.Interface(fn=greet, inputs="text", outputs="text")
# iface.launch()