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import numpy as np
import torch
import torch.nn as nn
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.inputs.Image(shape=(256, 256)), "image")
iface.launch() |