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app.py
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import gradio as gr
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import cv2
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import numpy as np
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from PIL import Image
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# Function to add watermark (logo or text) to the image
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def add_watermark(image, watermark_type, text=None, logo=None, opacity=1.0):
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image_logow = image.resize((500, 300))
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image_logow = np.array(image_logow.convert('RGB'))
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h_image, w_image, _ = image_logow.shape
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if watermark_type == "Logo" and logo is not None:
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logo = logo.resize((int(w_image * 0.3), int(h_image * 0.1))) # Resize logo to 30% of the image width
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logo = np.array(logo.convert('RGB'))
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h_logo, w_logo, _ = logo.shape
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# Center placement for logo
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center_y = int(h_image / 2)
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center_x = int(w_image / 2)
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top_y = center_y - int(h_logo / 2)
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left_x = center_x - int(w_logo / 2)
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bottom_y = top_y + h_logo
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right_x = left_x + w_logo
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# Get ROI and add logo with opacity
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roi = image_logow[top_y: bottom_y, left_x: right_x]
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result = cv2.addWeighted(roi, 1, logo, opacity, 0)
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# Replace the ROI on the image
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image_logow[top_y: bottom_y, left_x: right_x] = result
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return Image.fromarray(image_logow)
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elif watermark_type == "Text" and text:
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# Add text watermark at the bottom-right corner
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cv2.putText(image_logow, text=text, org=(w_image - 100, h_image - 10), fontFace=cv2.FONT_HERSHEY_COMPLEX,
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fontScale=0.6, color=(0, 0, 255), thickness=2, lineType=cv2.LINE_AA)
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return Image.fromarray(image_logow)
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return image # Return original image if no watermark added
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# Create the Gradio interface
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def gradio_interface():
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with gr.Blocks() as demo:
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gr.Markdown("## Image Watermarking App")
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gr.Markdown("""
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### Add Watermarks to Your Images
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This application allows you to add custom watermarks to your images. You can either add a **Text Watermark** or use a **Logo Watermark**.
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**Steps**:
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1. Upload your image.
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2. If using a logo watermark, upload your logo.
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3. Select the type of watermark (text or logo).
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4. Customize the watermark by adding text or adjusting logo opacity.
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5. See the output image with the watermark applied.
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""")
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# Upload original image and logo
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image_input = gr.Image(label="Upload Image", type="pil") # Upload original image
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logo_input = gr.Image(label="Upload Logo (optional, for Logo Watermark)", type="pil") # Upload logo (optional)
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# Select watermark type and adjust parameters
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watermark_type = gr.Radio(["Text", "Logo"], label="Watermark Type", value="Text")
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text_input = gr.Textbox(label="Watermark Text (for Text Watermark)", value="MyArt.Inc", placeholder="Enter text for text watermark")
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opacity_slider = gr.Slider(0.1, 1.0, step=0.1, label="Logo Opacity (for Logo Watermark)", value=1.0)
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# Output watermarked image
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output_image = gr.Image(label="Watermarked Image")
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# Function to update the watermark based on user input
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def update_watermark(image, watermark_type, text, logo, opacity):
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if watermark_type == "Logo" and logo is None:
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return "Please upload a logo for the logo watermark."
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return add_watermark(image, watermark_type, text, logo, opacity)
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# Link inputs to output
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inputs = [image_input, watermark_type, text_input, logo_input, opacity_slider]
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gr.Button("Apply Watermark").click(update_watermark, inputs, output_image)
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demo.launch()
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# Run the interface
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gradio_interface()
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