helper.py

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)