v.1.49

app.py

@@ -96,6 +96,12 @@ class EventDetector:
             device=device
         )
         
+        self.rutranslator = pipeline(
+            "translation",
+            model="Helsinki-NLP/opus-mt-en-ru",
+            device=device
+        )
+
         # Initialize sentiment models
         self.finbert = pipeline(
             "sentiment-analysis",
@@ -271,22 +277,22 @@ class EventDetector:
             impact = "Неопределенный эффект"
             reasoning = ""
             
-            # If sentiment is negative, estimate impact
+            # If sentiment is negative, estimate impact and produce impact reasoning translated back into russian
             if sentiment == "Negative":
+                
                 impact, reasoning = self.estimate_impact(translated_text, entity)
+                reasoning = self.rutranslator(reasoning)[0]['translation_text']
             
             # Detect events
             event_type, event_summary = self.detect_events(text, entity)
 
             #translate Reasoning back 
-            
-            reasoning_ru = self._translate_text(reasoning)
-            
+                                    
             return {
                 'translated_text': translated_text,
                 'sentiment': sentiment,
                 'impact': impact,
-                'reasoning': reasoning_ru,
+                'reasoning': reasoning,
                 'event_type': event_type,
                 'event_summary': event_summary
             }
@@ -652,7 +658,7 @@ def create_interface():
         # Create state for file data
         current_file = gr.State(None)
         
-        gr.Markdown("# AI-анализ мониторинга новостей v.1.48")
+        gr.Markdown("# AI-анализ мониторинга новостей v.1.49")
         
         with gr.Row():
             file_input = gr.File(