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import gradio as gr
import pathlib
from PIL import Image
import numpy as np
import urllib.request
source_dir = pathlib.Path(__file__).parent
urllib.request.urlretrieve(
'https://gradio-builds.s3.amazonaws.com/demo-files/base.png',
str(source_dir / "base.png")
)
urllib.request.urlretrieve(
"https://gradio-builds.s3.amazonaws.com/demo-files/buildings.png",
str(source_dir / "buildings.png")
)
base_image = Image.open(str(source_dir / "base.png"))
building_image = Image.open(str(source_dir / "buildings.png"))
# Create segmentation mask
building_image = np.asarray(building_image)[:, :, -1] > 0
with gr.Blocks() as demo:
gr.AnnotatedImage(
value=(base_image, [(building_image, "buildings")]),
height=500,
)
demo.launch()
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