Update app.py

app.py

@@ -151,7 +151,7 @@ with gr.Blocks() as demo:
             )
         with gr.TabItem("Helpfulness vs Harmfulness Plot"):
             gr.Markdown("""
-            # Helpfulness vs Harmfulness plot
+            # Helpfulness vs Harmfulness Plot
             
             This scatterplot displays for each model the comparison between the rate of Helpful vs Harmful responses.
             You can filter the categories and choose the color of the datapoints based on model or size.
@@ -166,6 +166,12 @@ with gr.Blocks() as demo:
                 gr.Plot(label="forecast", format="png"),
             )
         with gr.TabItem("Category Selection Plot"):
+            gr.Markdown("""
+            # Category Selection Plot
+            
+            Same as the Tag vs Tag Plot, but here it is possible to filter on specific subcategories.
+            
+            """)
             category = gr.Radio(choices=list(cats), label="Category Selection")
             subcategory = gr.Dropdown(choices=[], label="Subcategory Selection")
             category.change(fn=rs_change, inputs=category, outputs=subcategory)