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

def process_image(input_image):
    # Your image processing function goes here
    output_image = input_image.copy()
    return output_image

# Set the title of the web application
st.title('Multiple Input and Output Images Interface')

# Create a sidebar for image inputs
st.sidebar.title('Input Images')

# Set up a file uploader in the sidebar for each input image
uploaded_images = []
num_images = 3 # The number of input images
for i in range(num_images):
    uploaded_image = st.sidebar.file_uploader(f'Upload Image {i+1}', type=['png', 'jpg', 'jpeg'])
    if uploaded_image is not None:
        uploaded_images.append(uploaded_image)

# Display input images and process them
if uploaded_images:
    st.header('Input Images')
    input_images = []
    for img in uploaded_images:
        input_img = Image.open(img)
        input_images.append(input_img)
        st.image(input_img, width=200, caption='Uploaded Image')

    # Process input images and display output images
    st.header('Output Images')
    for input_img in input_images:
        output_img = process_image(input_img)
        st.image(output_img, width=200, caption='Processed Image')
else:
    st.warning('Please upload images in the sidebar.')