Create app.py

app.py

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+import cv2
+import numpy as np
+from PIL import Image
+import gradio as gr
+
+def sharpen_image(img: Image.Image, strength: float = 1.0) -> Image.Image:
+    """
+    Apply sharpening to an image using OpenCV's unsharp masking technique.
+    
+    Args:
+        img: Input PIL Image
+        strength: Sharpening intensity (0.0 to 3.0)
+        
+    Returns:
+        Sharpened PIL Image
+    """
+    # Handle different image modes
+    if img.mode not in ['L', 'RGB']:
+        img = img.convert('RGB')
+        original_mode = 'RGB'
+    else:
+        original_mode = img.mode
+
+    # Convert PIL Image to numpy array
+    img_array = np.array(img)
+    
+    try:
+        # Convert to BGR format for OpenCV processing
+        if original_mode == 'L':
+            img_bgr = cv2.cvtColor(img_array, cv2.COLOR_GRAY2BGR)
+        else:
+            img_bgr = cv2.cvtColor(img_array, cv2.COLOR_RGB2BGR)
+
+        # Apply Gaussian Blur
+        blurred = cv2.GaussianBlur(img_bgr, (0, 0), 3)
+        
+        # Unsharp masking
+        sharpened = cv2.addWeighted(img_bgr, 1.0 + strength, blurred, -strength, 0)
+        sharpened = np.clip(sharpened, 0, 255).astype(np.uint8)
+
+        # Convert back to original color space
+        if original_mode == 'L':
+            processed = cv2.cvtColor(sharpened, cv2.COLOR_BGR2GRAY)
+        else:
+            processed = cv2.cvtColor(sharpened, cv2.COLOR_BGR2RGB)
+            
+    except Exception as e:
+        raise gr.Error(f"Image processing failed: {str(e)}")
+    
+    return Image.fromarray(processed, mode=original_mode)
+
+# Gradio interface
+with gr.Blocks(theme=gr.themes.Soft()) as app:
+    gr.Markdown("# 🔍 Image Sharpening Tool")
+    
+    with gr.Row():
+        with gr.Column():
+            input_image = gr.Image(type="pil", label="Original Image", sources=["upload"])
+            strength_slider = gr.Slider(
+                minimum=0.0,
+                maximum=3.0,
+                value=1.0,
+                step=0.1,
+                label="Sharpening Strength",
+                info="Adjust between 0.0 (no effect) to 3.0 (strongest)"
+            )
+            process_btn = gr.Button("Process Image", variant="primary")
+            
+        output_image = gr.Image(type="pil", label="Sharpened Image", interactive=False)
+
+    # Example section
+    gr.Examples(
+        examples=[
+            ["https://upload.wikimedia.org/wikipedia/commons/thumb/3/3a/Cat03.jpg/1200px-Cat03.jpg", 1.2],
+            ["https://upload.wikimedia.org/wikipedia/commons/thumb/4/41/Sunflower_from_Silesia2.jpg/1280px-Sunflower_from_Silesia2.jpg", 1.5]
+        ],
+        inputs=[input_image, strength_slider],
+        outputs=output_image,
+        fn=sharpen_image,
+        cache_examples=True
+    )
+
+    # Event handling
+    process_btn.click(
+        fn=sharpen_image,
+        inputs=[input_image, strength_slider],
+        outputs=output_image
+    )
+
+if __name__ == "__main__":
+    app.launch(show_error=True)