v.1.35

app.py

@@ -645,7 +645,7 @@ def create_interface():
     control = ProcessControl()
     
     with gr.Blocks(theme=gr.themes.Soft()) as app:
-        gr.Markdown("# AI-анализ мониторинга новостей v.1.34")
+        gr.Markdown("# AI-анализ мониторинга новостей v.1.35")
         
         with gr.Row():
             file_input = gr.File(
@@ -708,7 +708,7 @@ def create_interface():
         def analyze(file_bytes):
             if file_bytes is None:
                 gr.Warning("Пожалуйста, загрузите файл")
-                return None, None, None, False, None, "Ожидание файла...", ""
+                return None, None, None, False, (None, None), "Ожидание файла...", ""
                 
             try:
                 # Reset stop flag
@@ -737,14 +737,13 @@ def create_interface():
                             result_df = pd.DataFrame(processed_rows)
                             output_bytes_io = create_output_file(result_df, file_obj)
                             if output_bytes_io:
-                                output_bytes = output_bytes_io.getvalue()  # Convert BytesIO to bytes
                                 fig_sentiment, fig_events = create_visualizations(result_df)
                                 return (
                                     result_df,
                                     fig_sentiment,
                                     fig_events,
                                     True,
-                                    output_bytes,  # Return bytes instead of BytesIO
+                                    ("partial_results.xlsx", output_bytes_io.getvalue()),  # Return tuple of (name, bytes)
                                     f"Обработка остановлена. Обработано {len(processed_rows)}/{total} строк",
                                     dedup_message
                                 )
@@ -785,14 +784,13 @@ def create_interface():
                         result_df = pd.DataFrame(processed_rows)
                         output_bytes_io = create_output_file(result_df, file_obj)
                         if output_bytes_io:
-                            output_bytes = output_bytes_io.getvalue()  # Convert BytesIO to bytes
                             fig_sentiment, fig_events = create_visualizations(result_df)
                             yield (
                                 result_df,
                                 fig_sentiment,
                                 fig_events,
                                 True,
-                                output_bytes,  # Return bytes instead of BytesIO
+                                (f"results_{len(processed_rows)}_rows.xlsx", output_bytes_io.getvalue()),  # Return tuple of (name, bytes)
                                 f"Обработано {len(processed_rows)}/{total} строк",
                                 dedup_message
                             )
@@ -806,25 +804,24 @@ def create_interface():
                     final_df = pd.DataFrame(processed_rows)
                     output_bytes_io = create_output_file(final_df, file_obj)
                     if output_bytes_io:
-                        output_bytes = output_bytes_io.getvalue()  # Convert BytesIO to bytes
                         fig_sentiment, fig_events = create_visualizations(final_df)
                         return (
                             final_df,
                             fig_sentiment,
                             fig_events,
                             True,
-                            output_bytes,  # Return bytes instead of BytesIO
+                            ("результаты_анализа.xlsx", output_bytes_io.getvalue()),  # Return tuple of (name, bytes)
                             "Обработка завершена!",
                             dedup_message
                         )
                 else:
-                    return None, None, None, False, None, "Нет обработанных данных", ""
+                    return None, None, None, False, (None, None), "Нет обработанных данных", ""
                     
             except Exception as e:
                 error_msg = f"Ошибка анализа: {str(e)}"
                 logger.error(error_msg)
                 gr.Error(error_msg)
-                return None, None, None, False, None, error_msg, ""
+                return None, None, None, False, (None, None), error_msg, ""
             finally:
                 if detector:
                     detector.cleanup()