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