add prediction score to accuracy

app.py

@@ -43,6 +43,16 @@ def update_year(year):
         label="Select Justices",
     )
 
+# Paragraph text
+paragraph_text = (
+    "One can refine these observations based on the prediction scores obtained in each case. "
+    "As explained in the Methods, these scores do not correspond to probabilities but can be calibrated "
+    "based on the cross-validation results. In particular, when we trained the algorithm we noticed that if "
+    "the top prediction score is greater than 40% (50%, 60%), our accuracy in predicting the authoring justice "
+    "increases to 93% (95%, 96%, respectively). Similarly, the original accuracy further improves to 95% when "
+    "considering the top two predictions per opinion, rather than a single one. If the sum of the top two prediction "
+    "scores exceeds 50%, the accuracy increases to 98%."
+)
 
 with gr.Blocks() as demo:
     with gr.Row():
@@ -77,6 +87,11 @@ with gr.Blocks() as demo:
                 num_top_classes=9, label="Predicted author of opinion"
             )
             output_textbox = gr.Textbox(label="Output Text", show_copy_button=True)
+            info_textbox = gr.Textbox(
+                value=paragraph_text,
+                label="Additional Insights",
+                interactive=False,  # Makes the textbox read-only
+            )
 
     year.release(
         update_year,