Create app.py

app.py

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+import gradio as gr
+from PIL import Image
+import numpy as np
+import io
+
+def brightness_to_opacity(image):
+    # Ensure it's RGB
+    img = image.convert("RGB")
+    img_array = np.array(img)
+
+    # Compute grayscale (luminance)
+    gray = np.dot(img_array[...,:3], [0.299, 0.587, 0.114]).astype(np.uint8)
+
+    # Use grayscale as alpha
+    alpha = gray
+
+    # Optional: set RGB to white (or use img_array to preserve color)
+    white_rgb = np.ones_like(img_array) * 255
+    rgba_array = np.dstack((white_rgb, alpha))
+
+    # Convert to Image and return
+    result_img = Image.fromarray(rgba_array.astype(np.uint8), mode="RGBA")
+    return result_img
+
+# Gradio Interface
+iface = gr.Interface(
+    fn=brightness_to_opacity,
+    inputs=gr.Image(type="pil", label="Upload Image"),
+    outputs=gr.Image(type="pil", label="Output (Brightness → Opacity)"),
+    title="Brightness to Opacity Converter",
+    description="This tool converts image brightness into opacity. Bright areas become visible, dark areas become transparent."
+)
+
+# Launch the app
+if __name__ == "__main__":
+    iface.launch()