Rename app.pi to app.py

app.py

@@ -0,0 +1,46 @@
+import streamlit as st
+from PIL import Image, ImageOps
+import numpy as np
+import cv2
+
+def remove_colors(image: Image.Image) -> Image.Image:
+    """
+    Convert an image to grayscale.
+    """
+    gray_image = ImageOps.grayscale(image)
+    return gray_image
+
+def reverse_edits(image: Image.Image) -> Image.Image:
+    """
+    Attempt to reverse edits by applying a smoothing filter to reduce harsh effects.
+    Note: Fully reversing edits is context-dependent and may not be completely achievable.
+    """
+    # Convert to OpenCV format
+    image_np = np.array(image)
+    image_cv = cv2.cvtColor(image_np, cv2.COLOR_RGB2BGR)
+    
+    # Apply smoothing to remove harsh edits
+    restored_image = cv2.medianBlur(image_cv, 5)
+    
+    # Convert back to PIL format
+    restored_image_pil = Image.fromarray(cv2.cvtColor(restored_image, cv2.COLOR_BGR2RGB))
+    return restored_image_pil
+
+# Streamlit app UI
+st.title("Image Processing: Remove Colors & Reverse Edits")
+
+# File uploader
+uploaded_file = st.file_uploader("Upload an image", type=["jpg", "jpeg", "png"])
+
+if uploaded_file is not None:
+    # Load the image
+    image = Image.open(uploaded_file)
+    st.image(image, caption="Original Image", use_column_width=True)
+    
+    # Process the image
+    st.subheader("Processed Images")
+    grayscale_image = remove_colors(image)
+    st.image(grayscale_image, caption="Grayscale Image", use_column_width=True)
+    
+    restored_image = reverse_edits(image)
+    st.image(restored_image, caption="Edit-Reversed Image", use_column_width=True)