Upload chatgpt-ad-maker.py

chatgpt-ad-maker.py

@@ -0,0 +1,51 @@
+import gradio as gr
+import numpy as np
+from PIL import Image
+
+def dot_effect(input_image):
+    """
+    Convert input image to dotted effect similar to the example
+    
+    Args:
+        input_image (ndarray): Input image
+    
+    Returns:
+        ndarray: Image with dotted effect
+    """
+    # Convert input to grayscale
+    gray_image = np.mean(input_image, axis=2)
+    
+    # Normalize pixel values
+    normalized = (gray_image - gray_image.min()) / (gray_image.max() - gray_image.min())
+    
+    # Create dot mask
+    dot_size = 5  # Adjust dot size as needed
+    height, width = gray_image.shape
+    dot_mask = np.zeros((height, width, 3), dtype=np.uint8)
+    
+    for y in range(0, height, dot_size):
+        for x in range(0, width, dot_size):
+            if normalized[y, x] > 0.3:  # Threshold for dot appearance
+                radius = int(dot_size * normalized[y, x])
+                center_x, center_y = x + dot_size//2, y + dot_size//2
+                
+                for dy in range(-radius, radius):
+                    for dx in range(-radius, radius):
+                        if dx*dx + dy*dy <= radius*radius:
+                            px, py = center_x + dx, center_y + dy
+                            if 0 <= px < width and 0 <= py < height:
+                                dot_mask[py, px] = [255, 255, 255]
+    
+    return dot_mask
+
+# Create Gradio interface
+iface = gr.Interface(
+    fn=dot_effect,
+    inputs=gr.Image(type="numpy"),
+    outputs=gr.Image(type="numpy"),
+    title="ChatGPT Ad Maker",
+    description="Transform images into dotted effect"
+)
+
+# Launch the app
+iface.launch()