app.py

import streamlit as st
import cv2
import numpy as np
from PIL import Image

st.title("🎨 Grayscale Image Converter")

uploaded_file = st.file_uploader("Upload an image", type=["jpg", "jpeg", "png"])

if uploaded_file is not None:
    image = Image.open(uploaded_file)

    # Convert PIL to OpenCV format
    img_array = np.array(image)
    if img_array.shape[2] == 4:
        img_array = cv2.cvtColor(img_array, cv2.COLOR_RGBA2RGB)

    gray_image = cv2.cvtColor(img_array, cv2.COLOR_RGB2GRAY)

    # Display side-by-side in smaller size
    col1, col2 = st.columns(2)

    with col1:
        st.image(image, caption="Original", width=250)

    with col2:
        st.image(gray_image, caption="Grayscale", width=250, channels="GRAY")