app.py

import gradio as gr
from PIL import Image
import cv2

def merge_images(image1, image2, method="concatenate"):
    """
    Merges two images using the specified method.

    Args:
        image1 (PIL.Image): The first image.
        image2 (PIL.Image): The second image.
        method (str, optional): The method for merging. Defaults to "concatenate".
            Supported methods:
                - "concatenate": Concatenates the images horizontally.
                - "average": Creates an average blend of the two images.
                - "custom": Allows for custom logic using (image1, image2) as input.

    Returns:
        PIL.Image: The merged image.
    """
    # img1 = cv2.resize(image1, (512,512))
    # img2 = cv2.resize(image2, (512,512))
    # img = img1*0.5 + img2*0.5
    
    # img1 = image1.astype('float32')
    # img2 = image2.astype('float32')
    # img = 0.5*img1 + 0.5*img2 
    # img = img.astype('uint8')

    image1 = image1.resize((426, 240))
    image1_size = image1.size
    image2_size = image2.size
    new_image = Image.new('RGB',(2*image1_size[0], image1_size[1]), (250,250,250))
    new_image.paste(image1,(0,0))
    new_image.paste(image2,(image1_size[0],0))
  
    return new_image

#attribute add
# Allow selection of merge method with a dropdown
# elem_id="merge-method",
# elem_attrs={"merge-method": {"type": "dropdown", "choices": ["concatenate", "average", "custom"]}},

# Define Gradio interface
interface = gr.Interface(
    fn=merge_images,
    inputs=[gr.Image(label="Image 1", type="pil"), gr.Image(label="Image 2", type="pil")],
    outputs="image",
    title="Image Merger",
    description="Merge two uploaded images using the selected method."
)

interface.launch()