add

app.py

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+import streamlit as st
+import cv2
+import numpy as np
+from PIL import Image, ImageEnhance
+
+st.title("Image Processing ")
+
+# Upload image
+uploaded_file = st.file_uploader("Upload an Image", type=["png", "jpg", "jpeg"])
+
+if uploaded_file is not None:
+    image = Image.open(uploaded_file)
+    st.image(image, caption="Original Image", use_container_width=True)
+
+    # Convert PIL image to OpenCV format
+    img_array = np.array(image)
+
+    # Convert to Grayscale
+    if st.button("Convert to Grayscale"):
+        gray_image = cv2.cvtColor(img_array, cv2.COLOR_RGB2GRAY)
+        st.image(gray_image, caption="Grayscale Image", use_container_width=True, channels="GRAY")
+
+    # Rotate Image
+    angle = st.slider("Select Rotation Angle", -180, 180, 0)
+    if st.button("Rotate Image"):
+        (h, w) = img_array.shape[:2]
+        center = (w // 2, h // 2)
+        matrix = cv2.getRotationMatrix2D(center, angle, 1.0)
+        rotated_image = cv2.warpAffine(img_array, matrix, (w, h))
+        st.image(rotated_image, caption=f"Rotated by {angle}°", use_container_width=True)
+
+    
+    
+    # Adjust Brightness
+    brightness = st.slider("Adjust Brightness", 0.1, 3.0, 1.0)
+    if st.button("Apply Brightness"):
+        enhancer = ImageEnhance.Brightness(image)
+        bright_image = enhancer.enhance(brightness)
+        st.image(bright_image, caption="Brightness Adjusted", use_container_width=True)
+
+    # Adjust Sharpness
+    sharpness = st.slider("Adjust Sharpness", 0.1, 3.0, 1.0)
+    if st.button("Apply Sharpness"):
+        enhancer = ImageEnhance.Sharpness(image)
+        sharp_image = enhancer.enhance(sharpness)
+        st.image(sharp_image, caption="Sharpness Adjusted", use_container_width=True)

requirements.txt

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+streamlit>=1.0.0
+opencv-python>=4.5.0
+numpy>=1.19.0
+Pillow>=8.0.0