app.py

import streamlit as st
from PIL import Image, ImageEnhance, ImageFilter
import numpy as np

def main():
    st.title("Streamlit Image Editor")

    # Sidebar
    st.sidebar.header("Editor Options")

    # File uploader
    uploaded_image = st.sidebar.file_uploader("Upload an image", type=["jpg", "jpeg", "png"])
    if uploaded_image is not None:
        image = Image.open(uploaded_image)
        st.image(image, caption="Uploaded Image", use_column_width=True)

        # Filters
        st.sidebar.subheader("Apply Filters")
        filter_type = st.sidebar.radio("Choose a filter:", ["None", "Grayscale", "Blur", "Edge Enhance"])

        if filter_type == "Grayscale":
            image = image.convert("L")
        elif filter_type == "Blur":
            image = image.filter(ImageFilter.BLUR)
        elif filter_type == "Edge Enhance":
            image = image.filter(ImageFilter.EDGE_ENHANCE)

        # Brightness Adjustment
        st.sidebar.subheader("Adjust Brightness")
        brightness_level = st.sidebar.slider("Brightness", 0.1, 3.0, 1.0)
        enhancer = ImageEnhance.Brightness(image)
        image = enhancer.enhance(brightness_level)

        # Contrast Adjustment
        st.sidebar.subheader("Adjust Contrast")
        contrast_level = st.sidebar.slider("Contrast", 0.1, 3.0, 1.0)
        enhancer = ImageEnhance.Contrast(image)
        image = enhancer.enhance(contrast_level)

        # Display edited image
        st.image(image, caption="Edited Image", use_column_width=True)

        # Download button
        st.sidebar.subheader("Download Edited Image")
        edited_image_name = "edited_image.png"
        image.save(edited_image_name)
        with open(edited_image_name, "rb") as file:
            st.sidebar.download_button(
                label="Download",
                data=file,
                file_name="edited_image.png",
                mime="image/png"
            )

if __name__ == "__main__":
    main()