Update my_pages/ica.py

my_pages/ica.py

@@ -23,14 +23,15 @@ def render():
             "Arbitrary": 0.34
         }
 
+    # Keep track of previous weights
+    if "prev_weights" not in st.session_state:
+        st.session_state.prev_weights = st.session_state.weights.copy()
+
     w = st.session_state.weights
+    prev_w = st.session_state.prev_weights
 
-    # --- Slider inputs ---
+    # --- Three sliders ---
     col1, col2, col3 = st.columns(3)
-    
-    # Save previous weights for difference computation
-    prev_w = w.copy()
-
     with col1:
         i_new = st.slider("Intentional", 0.0, 1.0, w["Intentional"], 0.01)
     with col2:
@@ -38,40 +39,37 @@ def render():
     with col3:
         a_new = st.slider("Arbitrary", 0.0, 1.0, w["Arbitrary"], 0.01)
 
-    # --- Detect slider changes and redistribute ---
-    changed = None
+    # --- Adjust other sliders proportionally ---
+    # Detect which slider changed
     if i_new != prev_w["Intentional"]:
-        changed = "Intentional"
         diff = i_new - prev_w["Intentional"]
-        others = ["Conventional", "Arbitrary"]
+        total_other = w["Conventional"] + w["Arbitrary"]
+        if total_other > 0:
+            w["Conventional"] -= diff * (w["Conventional"] / total_other)
+            w["Arbitrary"] -= diff * (w["Arbitrary"] / total_other)
+        w["Intentional"] = i_new
+        st.session_state.prev_weights = w.copy()
+        st.experimental_rerun()
+
     elif c_new != prev_w["Conventional"]:
-        changed = "Conventional"
         diff = c_new - prev_w["Conventional"]
-        others = ["Intentional", "Arbitrary"]
+        total_other = w["Intentional"] + w["Arbitrary"]
+        if total_other > 0:
+            w["Intentional"] -= diff * (w["Intentional"] / total_other)
+            w["Arbitrary"] -= diff * (w["Arbitrary"] / total_other)
+        w["Conventional"] = c_new
+        st.session_state.prev_weights = w.copy()
+        st.experimental_rerun()
+
     elif a_new != prev_w["Arbitrary"]:
-        changed = "Arbitrary"
         diff = a_new - prev_w["Arbitrary"]
-        others = ["Intentional", "Conventional"]
-
-    if changed:
-        # Handle slider dragged to 1
-        if locals()[changed.lower() + "_new"] >= 1.0:
-            for k in others:
-                w[k] = 0.0
-            w[changed] = 1.0
-        else:
-            total_other = w[others[0]] + w[others[1]]
-            if total_other > 0:
-                w[others[0]] -= diff * (w[others[0]] / total_other)
-                w[others[1]] -= diff * (w[others[1]] / total_other)
-            w[changed] = locals()[changed.lower() + "_new"]
-
-        # Clamp small floating point errors
-        for k in w:
-            w[k] = max(0.0, min(1.0, round(w[k], 4)))
-
-    # --- Update weights in session state immediately ---
-    st.session_state.weights = w
+        total_other = w["Intentional"] + w["Conventional"]
+        if total_other > 0:
+            w["Intentional"] -= diff * (w["Intentional"] / total_other)
+            w["Conventional"] -= diff * (w["Conventional"] / total_other)
+        w["Arbitrary"] = a_new
+        st.session_state.prev_weights = w.copy()
+        st.experimental_rerun()
 
     # --- Triangle vertices ---
     vertices = np.array([