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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.') | |