ui fix

app.py

@@ -0,0 +1,64 @@
+import streamlit as st
+import cv2
+import numpy as np
+from PIL import Image
+
+def process_image(image, option, brightness_level=0, rotation_angle=0):
+    if option == "🖤 Convert to Grayscale":
+        return cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+    elif option == "🌈 Convert to Color":
+        return cv2.cvtColor(image, cv2.COLOR_GRAY2BGR) if len(image.shape) == 2 else image
+    elif option == "🌪️ Blur Image":
+        return cv2.GaussianBlur(image, (15, 15), 0)
+    elif option == "☀️ Increase Brightness":
+        hsv = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
+        hsv[:, :, 2] = np.clip(hsv[:, :, 2] + brightness_level, 0, 255)
+        return cv2.cvtColor(hsv, cv2.COLOR_HSV2BGR)
+    elif option == "⚡ Edge Detection":
+        return cv2.Canny(image, 100, 200)
+    elif option == "🔄 Rotate Image":
+        (h, w) = image.shape[:2]
+        center = (w // 2, h // 2)
+        matrix = cv2.getRotationMatrix2D(center, rotation_angle, 1.0)
+        return cv2.warpAffine(image, matrix, (w, h))
+    return image
+
+st.title("📷 Image Processing App")
+
+uploaded_file = st.file_uploader("📂 Upload an image...", type=["jpg", "png", "jpeg"])
+
+if uploaded_file is not None:
+    image = np.array(Image.open(uploaded_file))
+    
+    col1, col2 = st.columns(2)
+    with col1:
+        st.markdown("### 🏞️ Original Image")
+        st.image(image, use_container_width=True)
+    
+    with col2:
+        st.markdown("### 🎨 Processed Image")
+        options = [
+            "🖼️ Original",
+            "🖤 Convert to Grayscale",
+            "🌈 Convert to Color",
+            "🔄 Rotate Image",
+            "🌪️ Blur Image",
+            "⚡ Edge Detection",
+            "☀️ Increase Brightness"
+        ]
+        selected_option = st.selectbox("🎛️ Select an Operation", options)
+        
+        brightness_level = 0
+        rotation_angle = 0
+        
+        if selected_option == "☀️ Increase Brightness":
+            brightness_level = st.slider("🔆 Brightness Level", -100, 100, 0)
+        elif selected_option == "🔄 Rotate Image":
+            rotation_angle = st.slider("🌀 Rotation Angle", -180, 180, 0)
+        
+        processed_image = process_image(image, selected_option, brightness_level, rotation_angle)
+        
+        if len(processed_image.shape) == 2:  # Grayscale or Edge detection
+            st.image(processed_image, use_container_width=True, channels="GRAY")
+        else:
+            st.image(processed_image, use_container_width=True)