update

app.py

@@ -875,7 +875,7 @@ def create_app():
                         # Create horizontal bar chart
                         plt.barh([t[:20] + '...' if len(t) > 20 else t for t in terms1[::-1]], counts1[::-1])
                         plt.xlabel('Frequency')
-                        plt.title(f'Top {viz_type.split()[0]}s Used by {model1_name}')
+                        plt.title(f'Harris, Top {viz_type.split()[0]}s Used by {model1_name}')
                         plt.tight_layout()
                         
                         # Plot for the second model
@@ -886,7 +886,7 @@ def create_app():
                         # Create horizontal bar chart
                         plt.barh([t[:20] + '...' if len(t) > 20 else t for t in terms2[::-1]], counts2[::-1])
                         plt.xlabel('Frequency')
-                        plt.title(f'Top {viz_type.split()[0]}s Used by {model2_name}')
+                        plt.title(f'Harris, Top {viz_type.split()[0]}s Used by {model2_name}')
                         plt.tight_layout()
                     
                     elif viz_type == "Sentiment Analysis":
@@ -915,8 +915,8 @@ def create_app():
                         # Create sentiment bar chart
                         plt.bar(list(sentiment_scores.keys()), list(sentiment_scores.values()))
                         plt.ylim(-1, 1)
-                        plt.ylabel('Sentiment Score (-1 to 1)')
-                        plt.title('Sentiment Analysis Comparison')
+                        plt.ylabel('Harris Sentiment Score (-1 to 1)')
+                        plt.title('Harris Sentiment Analysis Comparison')
                         plt.axhline(y=0, color='r', linestyle='-', alpha=0.3)  # Add a zero line
                     
                     # Save the plot to a bytes buffer