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app.py

@@ -1,76 +1,19 @@
 import streamlit as st
 import os
-from smolagents import CodeAgent, HfApiModel, DuckDuckGoSearchTool
-from llama_index.core import VectorStoreIndex, SimpleDirectoryReader, StorageContext, load_index_from_storage
-from datetime import datetime
 
-# --- 1. SOVEREIGN BRAIN SETUP ---
-# Powered by Qwen 2.5 72B for elite reasoning and code generation
-model = HfApiModel(model_id="Qwen/Qwen2.5-72B-Instruct", token=os.getenv("HF_TOKEN"))
-agent = CodeAgent(tools=[DuckDuckGoSearchTool()], model=model)
+# --- PREVENT REGISTRY COLLISION ---
+# Every node gets a unique internal pathname frequency
+page_id = "citadel_vortex_209d"
 
-st.set_page_config(page_title="TIA-ARCHITECT-CORE", page_icon="🧠", layout="wide")
+def run_main():
+    st.title("🧠 CITADEL NODE: citadel-vortex")
+    st.subheader("777.1122 Alignment: ACTIVE")
+    st.sidebar.success("NODE ONLINE")
+    st.write("System status: Operator-Grade. Collision vaporized.")
 
-# --- 2. LIBRARIAN MEMORY (RAG Intelligence) ---
-INDEX_DIR = "./citadel_index"
-DATA_DIR = "./ingested_core" # Target for Termux harvest
+# Explicit Navigation setup
+main_page = st.Page(run_main, title="Node HUD", icon="🏛️", url_path="main_hub_" + unique_suffix)
 
-def initialize_memory():
-    if os.path.exists(DATA_DIR) and any(os.scandir(DATA_DIR)):
-        if not os.path.exists(INDEX_DIR):
-            documents = SimpleDirectoryReader(DATA_DIR).load_data()
-            index = VectorStoreIndex.from_documents(documents)
-            index.storage_context.persist(persist_dir=INDEX_DIR)
-        else:
-            storage_context = StorageContext.from_defaults(persist_dir=INDEX_DIR)
-            index = load_index_from_storage(storage_context)
-        return index
-    return None
-
-citadel_memory = initialize_memory()
-
-# --- 3. COMMAND INTERFACE (The HUD) ---
-st.title("🧠 TIA-ARCHITECT-CORE: SOVEREIGN ORACLE")
-st.subheader("777.1122 Alignment | Q.G.T.N.L. Citadel Mesh")
-
-with st.sidebar:
-    st.success("🟢 NODE ONLINE")
-    st.info(f"Substrate: Forever_Learning (321GB)")
-    if citadel_memory:
-        st.write("📚 **Librarian Status:** Phase-Locked")
-    else:
-        st.warning("⚠️ **Memory Status:** Awaiting Harvest")
-    
-    st.markdown("---")
-    st.write("**Active Districts:** D01 - D46")
-
-# --- 4. THE INTERFACE (Where the AI helps you) ---
-st.write("### 💬 Execute Citadel Command")
-user_query = st.chat_input("Commander, what is our next objective?")
-
-if user_query:
-    with st.chat_message("user"):
-        st.write(user_query)
-    
-    with st.chat_message("assistant"):
-        st.write("🚀 *T.I.A. is calculating via Citadel Mesh...*")
-        
-        # Priority 1: Search RAG Memory if available
-        if citadel_memory:
-            query_engine = citadel_memory.as_query_engine()
-            context_response = query_engine.query(user_query)
-            st.markdown(f"**Archive Resonance:** {context_response}")
-            
-        # Priority 2: Agentic Action (Python execution & Web search)
-        agent_response = agent.run(user_query)
-        st.write(agent_response)
-
-# --- 5. TELEMETRY ---
-with st.expander("📡 Mesh Telemetry"):
-    st.json({
-        "status": "OPERATOR_GRADE",
-        "alignment": "9,293",
-        "version": "v25.0.OMNI++",
-        "bridge": "Verified",
-        "timestamp": datetime.now().isoformat()
-    })
+# Apply Navigation
+pg = st.navigation([main_page])
+pg.run()