Update src/app.py

added support structure for new embedding scheme

src/app.py

@@ -202,19 +202,43 @@ with st.sidebar:
         
         # 2. SAFETY CHECK VISUAL
         if selected_index:
-            is_compatible = pm.check_dimension_compatibility(selected_index, 384)
-            if is_compatible:
-                st.caption("✅ Dimensions Match (384)")
-            else:
-                st.error("❌ Dimension Mismatch! Do not use.")
+            # Get current model dimension dynamically
+            # (We import get_embedding_func to check the active model)
+            try:
+                emb_fn = rag_engine.get_embedding_func()
+                test_vec = emb_fn.embed_query("test")
+                active_model_dim = len(test_vec)
+                
+                is_compatible = pm.check_dimension_compatibility(selected_index, active_model_dim)
+                if is_compatible:
+                    st.caption(f"✅ Compatible with Model ({active_model_dim}d)")
+                else:
+                    st.error(f"❌ Mismatch! Model is {active_model_dim}d, Index is not.")
+            except Exception as e:
+                st.caption(f"⚠️ Could not verify dims: {e}")
         
         # 3. CREATE NEW INDEX
         with st.expander("Create New Index"):
             new_idx_name = st.text_input("Index Name")
+            
+            # NEW: Dimension Selector
+            new_idx_dim = st.selectbox(
+                "Vector Dimension", 
+                [384, 768, 1024, 1536, 3072],
+                index=0, # Defaults to 384
+                help="384=All-MiniLM, 768=MPNet/Nomic, 1536=OpenAI-Small, 3072=OpenAI-Large"
+            )
+            
             if st.button("Create"):
-                ok, msg = pm.create_index(new_idx_name)
-                if ok: st.success(msg); st.rerun()
-                else: st.error(msg)
+                with st.spinner("Provisioning Cloud Index..."):
+                    # We pass the selected dimension to the manager
+                    ok, msg = pm.create_index(new_idx_name, dimension=new_idx_dim)
+                    if ok: 
+                        st.success(msg)
+                        time.sleep(2) # Give Pinecone a moment to propagate
+                        st.rerun()
+                    else: 
+                        st.error(msg)
     else:
         st.warning("No Pinecone Key Found")