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| import streamlit as st | |
| from PIL import Image, ImageEnhance | |
| import numpy as np | |
| # Title of the app | |
| st.title("Image Enhancer Application") | |
| # File uploader to upload the image | |
| uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "jpeg", "png"]) | |
| if uploaded_file is not None: | |
| # Open the image | |
| image = Image.open(uploaded_file) | |
| # Display the original image | |
| st.image(image, caption='Original Image', use_column_width=True) | |
| # Brightness adjustment | |
| st.sidebar.header("Adjust Brightness") | |
| brightness = st.sidebar.slider("Brightness", 0.0, 2.0, 1.0) | |
| enhancer_brightness = ImageEnhance.Brightness(image) | |
| enhanced_image_brightness = enhancer_brightness.enhance(brightness) | |
| # Contrast adjustment | |
| st.sidebar.header("Adjust Contrast") | |
| contrast = st.sidebar.slider("Contrast", 0.0, 2.0, 1.0) | |
| enhancer_contrast = ImageEnhance.Contrast(enhanced_image_brightness) | |
| enhanced_image_contrast = enhancer_contrast.enhance(contrast) | |
| # Show the enhanced image | |
| st.image(enhanced_image_contrast, caption='Enhanced Image', use_column_width=True) | |
| # Option to download the enhanced image | |
| st.sidebar.download_button("Download Enhanced Image", | |
| data=np.array(enhanced_image_contrast).tobytes(), | |
| file_name="enhanced_image.png", | |
| mime="image/png") | |