Create app.py

app.py

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+import streamlit as st
+from PIL import Image, ImageEnhance, ImageOps
+import io
+
+# Function to apply filters to the image
+def apply_filter(image, filter_type):
+    if filter_type == 'Grayscale':
+        return ImageOps.grayscale(image)
+    elif filter_type == 'Brightness':
+        enhancer = ImageEnhance.Brightness(image)
+        return enhancer.enhance(1.5)  # Adjust brightness factor (1.0 is original)
+    return image
+
+# Set up the Streamlit app
+st.title("Simple Image Editor")
+
+# Image upload
+uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "png", "jpeg"])
+
+if uploaded_file is not None:
+    # Open the image
+    image = Image.open(uploaded_file)
+    st.image(image, caption="Uploaded Image", use_column_width=True)
+    
+    # Options for filters
+    filter_type = st.selectbox("Choose a filter", ["None", "Grayscale", "Brightness"])
+    
+    if filter_type != "None":
+        # Apply the selected filter
+        edited_image = apply_filter(image, filter_type)
+        st.image(edited_image, caption=f"Edited Image with {filter_type} filter", use_column_width=True)
+        
+        # Convert edited image to bytes for download
+        img_byte_arr = io.BytesIO()
+        edited_image.save(img_byte_arr, format="PNG")
+        img_byte_arr = img_byte_arr.getvalue()
+        
+        # Allow the user to download the edited image
+        st.download_button(
+            label="Download Edited Image",
+            data=img_byte_arr,
+            f