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README.md

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+---
+title: New Spacev2
+emoji: 📉
+colorFrom: pink
+colorTo: indigo
+sdk: gradio
+sdk_version: 5.6.0
+app_file: app.py
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+import cv2
+import numpy as np
+
+# Function to compare two images and highlight differences
+def compare_images(mockup, ui_screenshot, check_text, check_color, check_spacing):
+    # Convert images to numpy arrays
+    mockup_array = np.array(mockup)
+    ui_screenshot_array = np.array(ui_screenshot)
+
+    # Resize images to the same dimensions
+    if mockup_array.shape != ui_screenshot_array.shape:
+        height, width = max(mockup_array.shape[0], ui_screenshot_array.shape[0]), max(mockup_array.shape[1], ui_screenshot_array.shape[1])
+        mockup_array = cv2.resize(mockup_array, (width, height))
+        ui_screenshot_array = cv2.resize(ui_screenshot_array, (width, height))
+
+    # Convert images to grayscale
+    mockup_gray = cv2.cvtColor(mockup_array, cv2.COLOR_RGB2GRAY)
+    ui_screenshot_gray = cv2.cvtColor(ui_screenshot_array, cv2.COLOR_RGB2GRAY)
+
+    # Compute the absolute difference between the two images
+    difference = cv2.absdiff(mockup_gray, ui_screenshot_gray)
+
+    # Threshold the difference image to get a binary image
+    _, thresh = cv2.threshold(difference, 30, 255, cv2.THRESH_BINARY)
+
+    # Find contours of the differences
+    contours, _ = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
+
+    # Create a copy of the original image to draw the differences
+    highlighted_image = mockup_array.copy()
+
+    # Draw red circles around the differences
+    for contour in contours:
+        if cv2.contourArea(contour) > 100:  # Filter out small differences
+            x, y, w, h = cv2.boundingRect(contour)
+            cv2.circle(highlighted_image, (x + w // 2, y + h // 2), 10, (255, 0, 0), -1)
+
+    # Convert the highlighted image back to RGB for display
+    highlighted_image_rgb = cv2.cvtColor(highlighted_image, cv2.COLOR_BGR2RGB)
+
+    # Generate a report based on the selected options
+    report = "Comparison Report:\n"
+    if check_text:
+        report += "Text Differences: This feature requires advanced text recognition.\n"
+    if check_color:
+        report += "Color Differences: This feature requires color analysis.\n"
+    if check_spacing:
+        report += "Spacing Differences: This feature requires layout analysis.\n"
+
+    return highlighted_image_rgb, report
+
+# Create the Gradio interface
+with gr.Blocks() as demo:
+    gr.Markdown("## Welcome to the UI Difference Spotter!")
+    gr.Markdown("Please upload the design mockup and the developed UI screenshot you want to compare.")
+
+    with gr.Row():
+        mockup_upload = gr.Image(label="Upload Design Mockup", type="pil")
+        ui_screenshot_upload = gr.Image(label="Upload Developed UI Screenshot", type="pil")
+
+    with gr.Row():
+        check_text = gr.Checkbox(label="Check Text Differences", value=True)
+        check_color = gr.Checkbox(label="Check Color Differences", value=True)
+        check_spacing = gr.Checkbox(label="Check Spacing Differences", value=True)
+
+    with gr.Row():
+        compare_button = gr.Button("Compare Images")
+
+    with gr.Row():
+        highlighted_image = gr.Image(label="Highlighted Differences")
+        report_output = gr.Textbox(label="Comparison Details", interactive=False)
+
+    # Define the event listener for the compare button
+    compare_button.click(
+        fn=compare_images,
+        inputs=[mockup_upload, ui_screenshot_upload, check_text, check_color, check_spacing],
+        outputs=[highlighted_image, report_output]
+    )
+
+# Launch the Gradio app
+if __name__ == "__main__":
+    demo.launch(show_error=True)