Update app.py

app.py

@@ -344,21 +344,19 @@ def main():
             progress_bar.progress(40)
             st.subheader("Speech Trajectory Analysis")
             
-            # Create consistent segments and get all data upfront
+            # Process ALL data upfront
             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)
             
-            # Get moral foundations data
-            moral_trajectories = {
-                'care': [], 'fairness': [], 'loyalty': [],
-                'authority': [], 'sanctity': []
-            }
-            for segment in segments:
-                moral_scores = analyzer.analyze_moral_foundations(segment)
-                for foundation in moral_trajectories.keys():
-                    moral_trajectories[foundation].append(moral_scores[foundation])
+            # Get all analysis data at once
+            with st.spinner('Processing all analyses...'):
+                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)
+                    for foundation in moral_trajectories.keys():
+                        moral_trajectories[foundation].append(moral_scores[foundation])
             
             # Create unified figure
             unified_fig = go.Figure()