Update my_model/utilities/gen_utilities.py

my_model/utilities/gen_utilities.py

@@ -8,16 +8,51 @@ from IPython import get_ipython
 import sys
 import gc
 import streamlit as st
+import logging
+import functools
 
 
+
+# Set up logging
+logging.basicConfig(filename='app.log', level=logging.INFO, format='%(asctime)s - %(message)s')
+
+def log_event(event: str) -> None:
+    """
+    Logs an event with the current timestamp.
+
+    Args:
+        event (str): The event description to log.
+    """
+    logging.info(event)
+
+def log_function_call(func):
+    """
+    Decorator that logs the function call details (name and arguments).
+
+    Args:
+        func (function): The function to be decorated.
+
+    Returns:
+        function: The wrapped function with logging.
+    """
+    @functools.wraps(func)
+    def wrapper(*args, **kwargs):
+        log_event(f'Function {func.__name__} called with args: {args} and kwargs: {kwargs}')
+        result = func(*args, **kwargs)
+        log_event(f'Function {func.__name__} completed')
+        return result
+    return wrapper
+
+    
 def show_image(image):
     """
     Display an image in various environments (Jupyter, PyCharm, Hugging Face Spaces).
     Handles different types of image inputs (file path, PIL Image, numpy array, OpenCV, PyTorch tensor).
 
     Args:
-    image (str or PIL.Image or numpy.ndarray or torch.Tensor): The image to display.
+        image (str or PIL.Image or numpy.ndarray or torch.Tensor): The image to display.
     """
+    
     in_jupyter = is_jupyter_notebook()
     in_colab = is_google_colab()