Code Editor for app.py

import streamlit as st
from PIL import Image
import io
import requests

st.title("Room Interior Visualizer")

st.write("""
Upload an empty room image and see how it would look with different furniture layouts.
Currently this is a demo app showing sample layouts.
""")

uploaded_file = st.file_uploader("Upload an empty room image", type=['png', 'jpg', 'jpeg'])

# Sample furniture layouts
furniture_layouts = {
    "Modern Living Room": "https://corsproxy.io/?https://images.unsplash.com/photo-1586023492125-27b2c045efd7",
    "Minimalist Bedroom": "https://corsproxy.io/?https://images.unsplash.com/photo-1522771739844-6a9f6d5f14af",
    "Home Office": "https://corsproxy.io/?https://images.unsplash.com/photo-1486946255434-2466348c2166"
}

if uploaded_file:
    # Display original image
    st.subheader("Original Room")
    image = Image.open(uploaded_file)
    st.image(image, use_column_width=True)
    
    # Let user select a furniture layout
    selected_layout = st.selectbox(
        "Select a furniture layout style",
        list(furniture_layouts.keys())
    )
    
    st.subheader("Sample Furnished Layout")
    # Display sample furnished room based on selection
    try:
        # NOTE: Using corsproxy.io because we're in a WASM environment. If running locally,
        # you can remove the corsproxy.io prefix. Some websites don't work with the proxy,
        # in those cases try removing the proxy prefix.
        response = requests.get(furniture_layouts[selected_layout])
        sample_image = Image.open(io.BytesIO(response.content))
        st.image(sample_image, use_column_width=True)
        
        st.info("""
        Note: This is a demo showing sample furnished rooms. 
        A full version would use AI to actually add furniture to your uploaded image.
        """)
        
    except Exception as e:
        st.error("Error loading the sample image. Please try again.")
else:
    st.info("Please upload an image to get started")