Create helper.py

helper.py

@@ -0,0 +1,30 @@
+import pandas as pd
+import streamlit as st
+from PIL import Image
+
+def load_background_image(bg_image):
+    """
+    Loads the background image from the uploaded file if provided.
+    
+    Args:
+        bg_image: The file uploaded by the user for background.
+        
+    Returns:
+        PIL Image object or None if no file is uploaded.
+    """
+    return Image.open(bg_image) if bg_image else None
+
+def display_canvas_data(canvas_result):
+    """
+    Display the image data and JSON object data from the canvas result.
+    
+    Args:
+        canvas_result: Result object returned by st_canvas.
+    """
+    if canvas_result.image_data is not None:
+        st.image(canvas_result.image_data)
+    if canvas_result.json_data is not None:
+        objects = pd.json_normalize(canvas_result.json_data["objects"])  # Flatten JSON data
+        for col in objects.select_dtypes(include=['object']).columns:
+            objects[col] = objects[col].astype("str")
+        st.dataframe(objects)