the app created successfully

main.py

@@ -1,33 +1,31 @@
 import streamlit as st
 from PIL import Image
+from preprocess_image import grayscale_contrast
 
-# Title of the app
 st.title("Document Extraction")
 
 # Image uploader in the sidebar
 uploaded_image = st.sidebar.file_uploader("**Upload Image**",
                                           type=["jpg", "jpeg", "png"])
 
-# Main content area
-st.write("### Image Preview")
-
-if uploaded_image is not None:
-  # Open the uploaded image using PIL
-  image = Image.open(uploaded_image)
+if uploaded_image:
+  st.write("### Image Preview")
 
   # Display the original image
-  st.image(image, caption="Uploaded Image", use_column_width=True)
-
-  # Placeholder for processed image (for demonstration, we'll just display the same image)
-  processed_image = image  # Replace this with your image processing function
-
-  # Display the processed image
-  st.write("### Processed Image")
-  st.image(processed_image, caption="Processed Image", use_column_width=True)
+  # original_image = Image.open(uploaded_image)
+  st.image(uploaded_image, caption="Uploaded Image", use_column_width=True)
 
   # Optionally, you can add a button to trigger processing
-  if st.sidebar.button("Process Image"):
-    # Add your image processing logic here
-    st.success("Image processed successfully!")
-else:
-  st.info("Please upload an image to see the results.")
+  if st.button("Process Image"):
+    # Process the uploaded image
+    preprocessed_image = grayscale_contrast(uploaded_image)
+
+    if preprocessed_image:
+      # Display the processed image
+      st.write("### Processed Image")
+      st.image(preprocessed_image,
+               caption="Processed Image",
+               use_column_width=True)
+      st.success("Image processed successfully!")
+    else:
+      st.info("Please upload an image to see the results.")