Update app.py

app.py

@@ -254,7 +254,6 @@ def visualize_emotions():
     plt.close()
 
     return 'emotional_state.png'
-
 def interactive_interface(input_text):
     global conversation_history
     try:
@@ -288,28 +287,26 @@ def interactive_interface(input_text):
         
         emotion_visualization = visualize_emotions()
         
-        analysis_result = {
-            'predicted_user_emotion': predicted_emotion,
-            'ai_emotion': ai_emotion,
-            'sentiment_scores': sentiment_scores,
-            'entities': entities,
-            'text_complexity': text_complexity,
-            'response': response,
-            'emotion_visualization': emotion_visualization
-        }
-        
-        return analysis_result
+        return (
+            predicted_emotion,
+            ai_emotion,
+            str(sentiment_scores),
+            str(entities),
+            str(text_complexity),
+            response,
+            emotion_visualization
+        )
     except Exception as e:
         print(f"Error: {e}")
-        return {
-            'predicted_user_emotion': 'unknown',
-            'ai_emotion': 'neutral',
-            'sentiment_scores': {'compound': 0, 'neg': 0, 'neu': 1, 'pos': 0},
-            'entities': [],
-            'text_complexity': {'word_count': 0, 'sentence_count': 0, 'average_sentence_length': 0, 'polarity': 0, 'subjectivity': 0},
-            'response': "I'm sorry, but I encountered an error and was unable to generate a response.",
-            'emotion_visualization': 'emotional_state.png'
-        }
+        return (
+            'unknown',
+            'neutral',
+            str({'compound': 0, 'neg': 0, 'neu': 1, 'pos': 0}),
+            '[]',
+            str({'word_count': 0, 'sentence_count': 0, 'average_sentence_length': 0, 'polarity': 0, 'subjectivity': 0}),
+            "I'm sorry, but I encountered an error and was unable to generate a response.",
+            'emotional_state.png'
+        )
 
 # Create a Gradio interface
 gr.Interface(