Update my_pages/ica.py

my_pages/ica.py

@@ -92,26 +92,35 @@ def render():
     # --- Dummy points scattered inside triangle ---
     # (x, y, text)
     locations = [
-        (0.9, 0.1, r"$\mathbf{Random\ Seeds}$\nHighly arbitrary, low conventional, low intentional: random", "left", "bottom"),
-        (0.7, 0.25, "Example B", "left", "bottom"),
-        (0.5, 0.6, "Example C", "left", "bottom"),
-        (0.2, 0.4, "Example D", "left", "bottom"),
-        (0.8, 0.5, "Example E", "left", "bottom"),
+        (0.9, 0.1, "Random Seeds" "Random Seeds are highly arbitrary, without any convention or intentionality.", "left", "bottom"),
+        (0.3, 0.1, "Neural networks for Tabular Data", "Using neural networks of some arbitrary size (hidden layers) for a setting where \
+                                                        they are not needed is highly conventional, a bit arbitrary, and has very low intentionality.", "right", "bottom"),
+        (0.35, 0.6, "Pre-trained LLM for a Complex Task", "Using a high performing LLM for a complex task is intentional, however, it also has \
+                                                           conventionality to it, as a specialized model could have worked, depending on context.\
+                                                           No arbitrariness.", "right", "bottom"),
     ]
 
     torch_radius = 0.177  # how far the "torch" illuminates
 
+    text_to_show = "Explanations\n"
     # Illuminate nearby points
-    for (x, y, label, ha, va) in locations:
+    for (x, y, label, labeltext, ha, va) in locations:
         dist = np.linalg.norm([x - point[0], y - point[1]])
         if dist <= torch_radius:
             ax.scatter(x, y, c="red", s=50, zorder=6)
             ax.text(x, y + 0.03, label, ha=ha, va=va, color="red", zorder=6)
+            text_to_show += label + ": " + labeltext + "\n"
         else:
             ax.scatter(x, y, c="red", s=50, zorder=6, alpha=0.3)
     
     st.pyplot(fig)
 
+    if len(text_to_show) > 0:
+        st.markdown(
+            f"<div style='text-align:center; color:#c0392b; font-size:20px; font-weight:bold; margin:14px 0;'>{text_to_show}</div>",
+            unsafe_allow_html=True,
+        )
+
     st.markdown("---")
     col1, col2, col3, col4 = st.columns([2, 1, 1, 1])
     with col3: