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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 | |
iface = gr.Interface( | |
sepia, | |
gr.components.Image(), "image", | |
css=".footer{display:none !important}", | |
) | |
# Bot贸n para limpiar la imagen | |
clear_button = gr.Button("Limpiar", click=clear_image) | |
# Bot贸n para convertir a sepia | |
convert_button = gr.Button("Convertir a sepia", click=iface.process) | |
iface.launch() | |