| 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() | |
| return sepia_img | |
| def greet(name): | |
| return "Hello " + name + "!!" | |
| demo = gr.Interface(fn=sepia, inputs="image", outputs="image") | |
| demo.launch() | |
| # iface = gr.Interface(fn=greet, inputs="text", outputs="text") | |
| # iface.launch() |