Update app.py from anycoder

app.py

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+import gradio as gr
+import numpy as np
+import cv2
+from PIL import Image
+import tempfile
+
+def apply_modification(image, modification_type):
+    """
+    Apply a simple modification to demonstrate the concept
+    This is a placeholder - you would replace with your actual processing
+    """
+    img = np.array(image)
+    
+    if modification_type == "small":
+        # Placeholder for small modification
+        img = cv2.circle(img, (img.shape[1]//2, img.shape[0]//2), 30, (255, 0, 0), -1)
+    elif modification_type == "large":
+        # Placeholder for large modification
+        img = cv2.circle(img, (img.shape[1]//2, img.shape[0]//2), 60, (0, 0, 255), -1)
+    
+    return Image.fromarray(img)
+
+with gr.Blocks(theme=gr.themes.Soft(primary_hue="blue")) as demo:
+    gr.Markdown("""
+    # Personal Image Modifier
+    *Built with [anycoder](https://huggingface.co/spaces/akhaliq/anycoder)*
+    """)
+    
+    with gr.Row():
+        with gr.Column():
+            input_image = gr.Image(label="Upload Your Image", type="pil")
+            modification = gr.Radio(
+                choices=["Small", "Large"],
+                label="Modification Type",
+                value="Small"
+            )
+            submit_btn = gr.Button("Apply Modification", variant="primary")
+        
+        with gr.Column():
+            output_image = gr.Image(label="Modified Image")
+            download_btn = gr.DownloadButton("Download Result")
+    
+    # Example images
+    gr.Examples(
+        examples=[["examples/male1.jpg", "Small"], ["examples/male2.jpg", "Large"]],
+        inputs=[input_image, modification],
+        outputs=output_image,
+        fn=apply_modification,
+        cache_examples=True
+    )
+    
+    def process_and_download(image, mod_type):
+        modified = apply_modification(image, mod_type.lower())
+        temp_path = f"{tempfile.mkdtemp()}/modified.png"
+        modified.save(temp_path)
+        return modified, temp_path
+    
+    submit_btn.click(
+        fn=process_and_download,
+        inputs=[input_image, modification],
+        outputs=[output_image, download_btn]
+    )
+
+demo.launch(
+    title="Personal Image Modifier",
+    footer_links=[{"label": "Built with anycoder", "url": "https://huggingface.co/spaces/akhaliq/anycoder"}]
+)