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

# Define the Gradio interface with labeled output
demo = gr.Interface(
    fn=sepia,
    inputs=gr.Image(label="Original Picture"),
    outputs=gr.Image(label="Applied Filter"),  # Labeled output
    title="Sepia Filter"
)

if __name__ == "__main__":
    demo.launch()