| import gradio as gr |
| from image import add_and_detect_watermark_image |
| from video import add_and_detect_watermark_video |
|
|
| |
| image_inputs = [ |
| gr.Image(type="numpy", label="Upload Image"), |
| gr.Textbox(label="Watermark Text") |
| ] |
|
|
| image_outputs = [ |
| gr.Image(type="numpy", label="Watermarked Image"), |
| gr.Image(type="numpy", label="Watermark Highlight"), |
| gr.File(label="Download Watermarked Image"), |
| gr.File(label="Download Watermark Highlight") |
| ] |
|
|
| def process_image(image, text): |
| watermarked_image, highlight, watermarked_image_path, highlight_path = add_and_detect_watermark_image(image, text) |
| return watermarked_image, highlight, watermarked_image_path, highlight_path |
|
|
| image_interface = gr.Interface( |
| fn=process_image, |
| inputs=image_inputs, |
| outputs=image_outputs, |
| title="Image Watermark Application", |
| description="Upload an image and add a watermark text. Detect watermark and highlight its position." |
| ) |
|
|
| |
| video_inputs = [ |
| gr.Video(label="Upload Video"), |
| gr.Textbox(label="Watermark Text") |
| ] |
|
|
| video_outputs = [ |
| gr.Video(label="Watermarked Video"), |
| gr.Video(label="Watermark Highlight"), |
| gr.File(label="Download Watermarked Video"), |
| gr.File(label="Download Watermark Highlight") |
| ] |
|
|
| def process_video(video, text): |
| watermarked_video_path, highlight_video_path, _, _ = add_and_detect_watermark_video(video, text) |
| return watermarked_video_path, highlight_video_path, watermarked_video_path, highlight_video_path |
|
|
| video_interface = gr.Interface( |
| fn=process_video, |
| inputs=video_inputs, |
| outputs=video_outputs, |
| title="Video Watermark Application", |
| description="Upload a video and add a watermark text. Detect watermark and highlight its position." |
| ) |
|
|
| |
| app = gr.TabbedInterface( |
| interface_list=[image_interface, video_interface], |
| tab_names=["Image", "Video"] |
| ) |
|
|
| if __name__ == "__main__": |
| app.launch() |
|
|