app.py

from PIL import Image
import numpy as np
import streamlit as st

# Define function to process uploaded image
def process_image(image):
    # Convert image to numpy array
    img_array = np.array(image)

    # Dummy sidewalk segmentation (replace with your actual segmentation algorithm)
    segmentation_result = np.zeros_like(img_array)
    segmentation_result[:, :, 1] = 255  # Set sidewalk area to green (RGB: 0, 255, 0)

    return segmentation_result

# Define Shiny app
def main():
    st.title("Sidewalk Segmentation App")
    uploaded_image = st.file_uploader("Upload an image", type=["jpg", "jpeg", "png"])

    if uploaded_image is not None:
        # Display uploaded image
        image = Image.open(uploaded_image)
        st.image(image, caption="Uploaded Image", use_column_width=True)

        # Process uploaded image
        with st.spinner("Processing..."):
            segmentation_result = process_image(image)

        # Display segmentation result
        st.image(segmentation_result, caption="Sidewalk Segmentation Result", use_column_width=True)

if __name__ == "__main__":
    main()