Update app.py

app.py

@@ -285,18 +285,21 @@ class SpeechAnalyzer:
         
 @st.cache_data
 def process_all_analyses(text, _analyzer):
-    segments = analyzer.split_text(text, max_length=512)
+    segments = _analyzer.split_text(text, max_length=512)
     num_segments = len(segments)
     segment_labels = [f"{i+1}" for i in range(num_segments)]
     
-    sentiment_scores, basic_emotions = analyzer.analyze_emotional_trajectory(text)
+    sentiment_scores, basic_emotions = _analyzer.analyze_emotional_trajectory(text)
     moral_trajectories = {foundation: [] for foundation in ['care', 'fairness', 'loyalty', 'authority', 'sanctity']}
     for segment in segments:
-        moral_scores = analyzer.analyze_moral_foundations(segment)
+        moral_scores = _analyzer.analyze_moral_foundations(segment)
         for foundation in moral_trajectories.keys():
             moral_trajectories[foundation].append(moral_scores[foundation])
             
     return segments, segment_labels, sentiment_scores, basic_emotions, moral_trajectories
+
+            
+    return segments, segment_labels, sentiment_scores, basic_emotions, moral_trajectories
 def main():
     st.title("🗣️ Political Text Analysis Toolkit")