Greyscale_Image / app.py
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Update app.py
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import streamlit as st
import cv2
import numpy as np
from PIL import Image
st.title("Image to Grayscale Converter")
# File uploader
uploaded_file = st.file_uploader("Upload an image", type=["jpg", "jpeg", "png"])
if uploaded_file is not None:
# Load image with PIL and convert to numpy array
image = Image.open(uploaded_file)
image_np = np.array(image)
# Convert to grayscale
gray_image = cv2.cvtColor(image_np, cv2.COLOR_RGB2GRAY)
# Display side-by-side images
col1, col2 = st.columns(2)
with col1:
st.subheader("Original")
st.image(image, width=250)
with col2:
st.subheader("Grayscale")
st.image(gray_image, width=250, clamp=True, channels="GRAY")