import gradio as gr import numpy as np from src.part1 import create_Gaussian_kernel, create_hybrid_image input_pictures_examples = [ ["./data/1a_dog.bmp", "./data/1b_cat.bmp", 5], ["./data/2a_motorcycle.bmp", "./data/2b_bicycle.bmp", 5], ["./data/3a_plane.bmp", "./data/3b_bird.bmp", 5], ["./data/4a_einstein.bmp", "./data/4b_marilyn.bmp", 5], ["./data/5a_submarine.bmp", "./data/5b_fish.bmp", 5], ["./data/Message+1.png", "./data/Message+2.png", 5], ] def action_hybrid_image(a, b, c): # check input is None if a is None or b is None or c is None: return None, None, None l, h, lh = create_hybrid_image(a / 255, b / 255, c / 255) l, h, lh = (l * 255).astype(np.uint8), ((h + 0.5) * 255).astype(np.uint8), (lh * 255).astype(np.uint8), return l, h, lh, lh, lh, lh, lh, lh with gr.Blocks(theme=gr.themes.Soft()) as app: gr.Markdown("## Input") with gr.Row() as uploader: # allow user to upload 2 images TODO: Limit picture size, button: exchange pictures image1 = gr.Image(label="Image 1 (Low Frequency)", interactive=True) # Gaussian Kernel with gr.Column() as k: # allow user to select a cutoff frequency cutoff = gr.Slider(1, 7, 5, step=1, label="Cutoff Frequency") # display the kernel kernel = gr.Image(label="Kernel", image_mode="L") image2 = gr.Image(label="Image 2 (High Frequency)", interactive=True) cutoff.release(create_Gaussian_kernel, inputs=cutoff, outputs=kernel, api_name="draw_gaussian_kernel") submit = gr.Button("Submit", variant="primary") gr.Markdown("## Output") # output with gr.Row() as output: low_frequencies = gr.Image(label="Low Frequencies") hybrid_image = gr.Image(label="Hybrid Image") high_frequencies = gr.Image(label="High Frequencies") gr.Markdown("## Outputs In Different Sizes") with gr.Row() as output: hybrid_large = gr.Image(label="Large", show_label=False).style(height=400, width=400) hybrid_medium = gr.Image(label="Medium", show_label=False).style(height=300, width=300) hybrid_small = gr.Image(label="Small", show_label=False).style(height=200, width=200) hybrid_tiny = gr.Image(label="Tiny", show_label=False).style(height=100, width=100) hybrid_super_tiny = gr.Image(label="Super Tiny", show_label=False).style(height=50, width=50) submit.click( action_hybrid_image, inputs=[image1, image2, kernel], outputs=[ low_frequencies, high_frequencies, hybrid_image, hybrid_large, hybrid_medium, hybrid_small, hybrid_tiny, hybrid_super_tiny ] ) gr.Markdown("## Use Examples") gr.Examples( examples=input_pictures_examples, inputs=[image1, image2, cutoff], # outputs=txt_3, # fn=combine, # cache_examples=True, # cache examples to local storage ) app.launch()