Fix: playing with font sizing

app.py

@@ -22,9 +22,6 @@ B_true = np.array([
 FOODS = ['Asparagus', 'Milk', 'Apples', 'Steak']
 COLORS = ['#00CC00', '#0066FF', '#FF0000', '#FF9900']
 
-# ============================================================================
-# DATA & MODEL
-# ============================================================================
 def softmax(z):
     z = np.atleast_2d(z)
     z = z - np.max(z, axis=1, keepdims=True)
@@ -66,9 +63,7 @@ def train_model(X, y):
 X_train, y_train = generate_logs(100)
 B_learned = train_model(X_train, y_train)
 
-# ============================================================================
-# SIMPLEX VISUALIZATION
-# ============================================================================
+
 def make_simplex(luke, rey):
     """Show predicted probabilities on tetrahedron for given encounters."""
     # Predict using learned model
@@ -108,7 +103,7 @@ def make_simplex(luke, rey):
         label = f"{food}\n({probs[i]:.1%})"
         fig.add_trace(go.Scatter3d(
             x=[v[i,0]*1.3], y=[v[i,1]*1.3], z=[v[i,2]*1.3],
-            mode='text', text=[label], textfont=dict(size=14, color=color),
+            mode='text', text=[label], textfont=dict(size=24, color=color),
             showlegend=False, hoverinfo='skip'
         ))