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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() |