Update app.py

app.py

@@ -1,25 +1,17 @@
 import streamlit as st
-import opencv
+import cv2
 import numpy as np
 from PIL import Image
-
-st.set_page_config(page_title="Grayscale Image Converter", layout="centered")
-st.title("🖼️ Grayscale Image Converter")
-
-uploaded_file = st.file_uploader("Upload an image", type=["jpg", "jpeg", "png"])
-
+st.title("🖼️ Image to Grayscale Converter")
+uploaded_file = st.file_uploader("Upload an Image", type=["jpg", 
+"jpeg", "png"])
 if uploaded_file is not None:
-    # Load the image with PIL
-    image = Image.open(uploaded_file)
-    st.subheader("Original Image")
-    st.image(image, use_column_width=True)
-
-    # Convert image to numpy array (OpenCV format)
-    img_array = np.array(image)
-
-    # Convert to grayscale using OpenCV
-    gray_img = cv2.cvtColor(img_array, cv2.COLOR_RGB2GRAY)
-
-    # Display grayscale image
-    st.subheader("Grayscale Image")
-    st.image(gray_img, use_column_width=True, clamp=True)
+ img = Image.open(uploaded_file)
+ img_array = np.array(img)
+ gray_image = cv2.cvtColor(img_array, cv2.COLOR_RGB2GRAY)
+ st.subheader("Original Image")
+ st.image(img, caption="Uploaded Image", 
+use_column_width=True)
+ st.subheader("Grayscale Image")
+ st.image(gray_image, caption="Grayscale Image", 
+use_column_width=True, channels="GRAY")