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Runtime error
| 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.') | |