Update app.py

app.py

@@ -298,18 +298,17 @@ def main():
                 
                 for segment in segments:
                     result = analyzer.sentiment_pipeline(segment[:512])[0]
-                    sentiment_results.append(result)
-                
-                # Convert sentiment labels to numerical values
-                sentiment_values = [1 if result['label'] == 'POSITIVE' else -1 for result in sentiment_results]
+                    # Convert score to a more granular value instead of binary
+                    sentiment_value = result['score'] if result['label'] == 'POSITIVE' else -result['score']
+                    sentiment_results.append(sentiment_value)
                 
                 # Create segment labels
-                num_segments = len(sentiment_values)
+                num_segments = len(sentiment_results)
                 segment_labels = [f"{i+1}" for i in range(num_segments)]
                 
                 trajectory_fig = go.Figure(data=go.Scatter(
                     x=segment_labels,
-                    y=sentiment_values,
+                    y=sentiment_results,
                     mode='lines+markers',
                     line=dict(
                         color='#1f77b4',