Create app.py

app.py

@@ -0,0 +1,31 @@
+import gradio as gr
+from PIL import Image
+import io
+
+def optimize_image(image, quality=85):
+    """
+    Compresses and optimizes an uploaded image for web use.
+    """
+    # Convert to RGB to avoid issues with PNG transparency
+    image = image.convert("RGB")
+
+    # Save optimized image to buffer
+    buffer = io.BytesIO()
+    image.save(buffer, format="JPEG", quality=quality, optimize=True)
+    buffer.seek(0)
+
+    return Image.open(buffer)
+
+# Gradio Interface
+demo = gr.Interface(
+    fn=optimize_image,
+    inputs=[
+        gr.Image(type="pil", label="Upload Image"),
+        gr.Slider(minimum=10, maximum=100, value=85, label="Quality")
+    ],
+    outputs=gr.Image(type="pil", label="Optimized Image"),
+    title="AI-Powered Image Optimizer",
+    description="Upload an image to compress and optimize it for better web performance.",
+)
+
+demo.launch()