Create app.py

app.py

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+import streamlit as st
+from PIL import Image, ImageEnhance
+import cv2
+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 app
+def main():
+    st.title("Simple Image Editor")
+
+    # Upload image
+    uploaded_image = st.file_uploader("Upload an image", type=["jpg", "jpeg", "png"])
+
+    if uploaded_image is not None:
+        # Open the uploaded image using PIL
+        image = Image.open(uploaded_image)
+        st.image(image, caption="Uploaded Image", use_column_width=True)
+
+        # Apply filters
+        st.sidebar.title("Adjust Filters")
+        
+        filter_option = st.sidebar.selectbox("Choose a filter", ("None", "Grayscale", "Brightness"))
+        
+        if filter_option == "Grayscale":
+            image = apply_grayscale(image)
+            st.image(image, caption="Grayscale Image", use_column_width=True)
+        
+        elif filter_option == "Brightness":
+            brightness_factor = st.sidebar.slider("Brightness Factor", 0.1, 2.0, 1.0)
+            image = adjust_brightness(image, brightness_factor)
+            st.image(image, caption="Brightness Adjusted Image", use_column_width=True)
+        
+        # Button to download the edited image
+        st.sidebar.download_button("Download Edited Image", image, "edited_image.jpg", "image/jpeg")
+
+if __name__ == "__main__":
+    main()