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import gradio as gr
from PIL import Image
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.
"""
if method == "concatenate":
# Concatenate images horizontally
width, height = image1.size
merged_image = Image.new(image1.mode, (width * 2, height))
merged_image.paste(image1, (0, 0))
merged_image.paste(image2, (width, 0))
elif method == "average":
# Create an average blend
merged_image = Image.blend(image1, image2, 0.5)
elif method == "custom":
# Implement your custom logic here, using image1 and image2
# This allows for more advanced merging techniques
pass
else:
raise ValueError(f"Unsupported merge method: {method}")
return merged_image
# 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",
# Allow selection of merge method with a dropdown
elem_id="merge-method",
elem_attrs={"merge-method": {"type": "dropdown", "choices": ["concatenate", "average", "custom"]}},
title="Image Merger",
description="Merge two uploaded images using the selected method."
)
interface.launch()
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