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import gradio as gr
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import PIL
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from PIL import Image, ImageOps
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from collections import Counter
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import numpy as np
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size_options ={"1200 x 1500": (1200, 1500),
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"1200 x 1200": (1200, 1200),
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"1200 x 628": (1200, 628),
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"Meta - Square (Feed)": (1200, 1200),
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"Meta - Story": (1080, 1920),
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"Tiktok Pangle - 1280 x 720": (1280, 720),
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"Tiktok Pangle - 1200 x 628": (1200, 628),
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"Tiktok Pangle - 640 x 640": (640, 640),
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"Tiktok Pangle - 300 x 250": (300, 250),
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"Tiktok Pangle - 720 x 1280": (720, 1280),
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"Tiktok Pangle - 300 x 50": (300, 50),
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"Tiktok Pangle - 320 x 50": (320, 50),
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"Tiktok Pangle - 320 x 480": (320, 480),
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"Tiktok Pangle - 250 x 250": (250, 250),
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"Tiktok Pangle - 600 x 770": (600, 770),
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"Tiktok Pangle - 720 x 1067": (720, 1067),
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"Tiktok Pangle - 480 x 320": (480, 320)}
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def get_dominant_color(image):
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image = image.resize((50, 50))
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pixels = np.array(image)
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pixels = pixels.reshape((-1, 3))
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counter = Counter(map(tuple, pixels))
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dominant_color = counter.most_common(1)[0][0]
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return dominant_color
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def change_size(image, selected_size, size_align):
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target_size = size_options[selected_size]
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image.thumbnail(target_size, PIL.Image.Resampling.LANCZOS)
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dominant_color = get_dominant_color(image)
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new_image = Image.new("RGB", target_size, dominant_color)
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x_offset = (target_size[0] - image.width) // 2 if size_align == "Center" else 0 if size_align == "Left" else target_size[0] - image.width
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y_offset = (target_size[1] - image.height) // 2
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new_image.paste(image, (x_offset, y_offset))
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return new_image
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def gradio_interface():
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with gr.Blocks() as demo:
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gr.Markdown("# Advanced Image Resizer with Background and Margins")
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with gr.Row():
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image_input = gr.Image(type="pil", label="Upload Image")
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size_input = gr.Dropdown(list(size_options.keys()), label="Size Options")
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with gr.Row():
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size_alignment = gr.Radio(["Left", "Center", "Right"], value="Center", label="Size Alignment")
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image_output = gr.Image(type="pil", label="Resized Image with Background")
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submit_button = gr.Button("Resize Image")
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submit_button.click(fn=change_size,
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inputs=[image_input, size_input, size_alignment],
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outputs=image_output)
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return demo
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demo = gradio_interface()
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demo.launch(share=True) |
