Create app.py

app.py

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+import streamlit as st
+from PIL import Image, ImageEnhance
+import numpy as np
+
+# Function to apply grayscale filter
+def apply_grayscale(image):
+    return image.convert("L")
+
+# Function to adjust brightness
+def adjust_brightness(image, factor):
+    enhancer = ImageEnhance.Brightness(image)
+    return enhancer.enhance(factor)
+
+# Streamlit UI
+st.title("Simple Image Editor")
+
+# Upload image
+uploaded_file = st.file_uploader("Choose an image", type=["jpg", "png", "jpeg"])
+
+if uploaded_file is not None:
+    # Open image
+    image = Image.open(uploaded_file)
+
+    # Display original image
+    st.image(image, caption="Original Image", use_column_width=True)
+
+    # Select filter to apply
+    filter_option = st.selectbox("Choose a filter", ("None", "Grayscale", "Brightness"))
+
+    # Apply selected filter
+    if filter_option == "Grayscale":
+        image = apply_grayscale(image)
+    elif filter_option == "Brightness":
+        factor = st.slider("Adjust brightness", 0.5, 2.0, 1.0)
+        image = adjust_brightness(image, factor)
+
+    # Display edited image
+    st.image(image, caption="Edited Image", use_column_width=True)
+
+    # Provide option to download the edited image
+    with st.spinner('Preparing your image for download...'):
+        image.save("edited_image.png")
+        st.download_button(
+            label="Download Edited Image",
+            data=open("edited_image.png", "rb").read(),
+            file_name="edited_image.png",
+            mime="image/png"
+        )