one more

app.py

@@ -98,26 +98,36 @@ def demo(image_path, prompt):
     return json
 
 def process_document(image):
+    # Log the function start
+    logging.info("Started processing the document")
+    
     # Save the uploaded image to a temporary file
     with tempfile.NamedTemporaryFile(delete=False, suffix=".jpg") as tmp_file:
         image = Image.fromarray(image)  # Convert NumPy array to PIL Image
         image.save(tmp_file.name)  # Save the image to the temporary file
         image_path = tmp_file.name  # Get the path of the saved file
-    logging.info("the path made for image: %s", image_path)
+
+    logging.info("The path made for image: %s", image_path)
+
     # Process the image with your model
     one = demo(image_path, other_benifits)
-    logging.info("kjf")
+    logging.info("Processed the image for other benefits")
+    
     two = demo(image_path, tax_deductions)
+    logging.info("Processed the image for tax deductions")
+
     json_op = {
         "tax_deductions": one,
         "other_benifits": two
     }
 
-    # Optionally, you can delete the temporary file after use
+    # Optionally, delete the temporary file after use
     os.remove(image_path)
+    logging.info("Temporary file deleted: %s", image_path)
 
     return json_op
 
+
 # Create Gradio interface
 demo = gr.Interface(
     fn=process_document,