Update code_df_custom.py

code_df_custom.py

@@ -1,5 +1,4 @@
 import pandas as pd
-import traceback
 
 
 def load_excel(file):
@@ -14,40 +13,37 @@ def run_code(file, code):
 
         scope['df'] = df
         try:
-            # Attempt to execute the user's code
             exec(code, scope, scope)
         except Exception as e:
-            # Catch any exceptions that occur and print the error message
-            error_msg = traceback.format_exc()
             print(f"Error executing user code: {error_msg}")
-            scope['new_df'] = df  # Use the original df if error occurs
-            return scope['new_df'], error_msg  # Return the error message along with the df
+            scope['new_df'] = df
+            return scope['new_df'], e
 
-        print(scope.keys())
+        # print(scope.keys())
         if 'new_df' not in scope:
             print("new_df not defined")
             scope['new_df'] = df.copy()
         new_df = scope['new_df']
         
-        return new_df, None  # Return None as the error message when execution is successful
+        return new_df, ""
     else:
         print("No file provided")
         return pd.DataFrame(), "No file provided"
 
-def run_code_and_update_ui(file, code):
-    df, error_msg = run_code(file, code)  # This is your updated run_code function.
+# def run_code_and_update_ui(file, code):
+#     df, error_msg = run_code(file, code)  # This is your updated run_code function.
     
-    # Now, check if there's an error message and handle it appropriately.
-    if error_msg:
-        # You can update some error display component in Gradio here to show the error_msg.
-        # Assuming you have a gr.Textbox to display errors:
-        error_display.update(value=f"Error in code execution: {error_msg}")
-        # Ensure you still return the original DataFrame or an empty one to satisfy the expected output type.
-        return df
-    else:
-        # If no error, clear the error display and return the DataFrame as usual.
-        error_display.update(value="")
-        return df
+#     # Now, check if there's an error message and handle it appropriately.
+#     if error_msg:
+#         # You can update some error display component in Gradio here to show the error_msg.
+#         # Assuming you have a gr.Textbox to display errors:
+#         error_display.update(value=f"Error in code execution: {error_msg}")
+#         # Ensure you still return the original DataFrame or an empty one to satisfy the expected output type.
+#         return df
+#     else:
+#         # If no error, clear the error display and return the DataFrame as usual.
+#         error_display.update(value="")
+#         return df
 
 
 def export_df(df, filename):