app.py

import streamlit as st
from PIL import Image, ImageEnhance, ImageFilter
import io

# Title and file uploader
st.title("Image Editor")
uploaded_file = st.file_uploader("Upload an image", type=["jpg", "jpeg", "png"])

if uploaded_file:
    # Load the uploaded image
    image = Image.open(uploaded_file)
    st.image(image, caption="Uploaded Image", use_column_width=True)

    # Feature controls
    st.sidebar.title("Editing Options")

    # Brightness
    brightness = st.sidebar.slider("Brightness", 0.1, 2.0, 1.0)
    enhancer = ImageEnhance.Brightness(image)
    image = enhancer.enhance(brightness)

    # Contrast
    contrast = st.sidebar.slider("Contrast", 0.1, 2.0, 1.0)
    enhancer = ImageEnhance.Contrast(image)
    image = enhancer.enhance(contrast)

    # Sharpness
    sharpness = st.sidebar.slider("Sharpness", 0.1, 2.0, 1.0)
    enhancer = ImageEnhance.Sharpness(image)
    image = enhancer.enhance(sharpness)

    # Convert to grayscale
    if st.sidebar.checkbox("Convert to Grayscale"):
        image = image.convert("L")

    # Apply filters
    filter_option = st.sidebar.selectbox("Apply Filter", ["None", "BLUR", "CONTOUR", "DETAIL", "EDGE_ENHANCE", "SHARPEN"])
    if filter_option == "BLUR":
        image = image.filter(ImageFilter.BLUR)
    elif filter_option == "CONTOUR":
        image = image.filter(ImageFilter.CONTOUR)
    elif filter_option == "DETAIL":
        image = image.filter(ImageFilter.DETAIL)
    elif filter_option == "EDGE_ENHANCE":
        image = image.filter(ImageFilter.EDGE_ENHANCE)
    elif filter_option == "SHARPEN":
        image = image.filter(ImageFilter.SHARPEN)

    # Crop
    if st.sidebar.checkbox("Crop Image"):
        left = st.sidebar.number_input("Left", 0, image.width, 0)
        top = st.sidebar.number_input("Top", 0, image.height, 0)
        right = st.sidebar.number_input("Right", left + 1, image.width, image.width)
        bottom = st.sidebar.number_input("Bottom", top + 1, image.height, image.height)
        image = image.crop((left, top, right, bottom))

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

    # Download the edited image
    buf = io.BytesIO()
    image.save(buf, format="PNG")
    byte_im = buf.getvalue()
    st.download_button("Download Edited Image", data=byte_im, file_name="edited_image.png", mime="image/png")

# Instructions if no file uploaded
else:
    st.write("Please upload an image to start editing.")