Delete app1.py

app1.py

@@ -1,36 +0,0 @@
-import gradio as gr
-from rembg import remove
-from PIL import Image
-import numpy as np
-
-def separate_foreground_background(image):
-    # Remove the background using rembg
-    output_image = remove(image)
-
-    # Convert images to numpy arrays
-    input_rgb = np.array(image)[:, :, :3]  # Keep only RGB channels
-    output_rgba = np.array(output_image)  # Include alpha channel
-
-    # Extract the alpha channel
-    alpha = output_rgba[:, :, 3]
-
-    # Create a 3-channel alpha mask
-    alpha3 = np.dstack((alpha, alpha, alpha))
-
-    # Calculate the background
-    background_rgb = input_rgb.astype(np.float32) * (1 - alpha3.astype(np.float32) / 255)
-    background_rgb = background_rgb.astype(np.uint8)
-
-    # Convert numpy arrays back to PIL Images
-    foreground = Image.fromarray(output_rgba)  # Foreground with transparency
-    background = Image.fromarray(background_rgb)  # Background image
-
-    return foreground, background
-
-# Gradio interface setup
-gr.Interface(
-    fn=separate_foreground_background,
-    inputs=gr.Image(label="Upload Image"),
-    outputs=[gr.Image(label="Foreground"), gr.Image(label="Background")],
-    title="Foreground and Background Separation"
-).launch()