| 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() |