Update chatbot.py

chatbot.py

@@ -581,13 +581,8 @@ def rag_query(question: str, top_k: int = 3) -> str:
 def build_chatbot_tab():
     """Called from app.py to inject the chatbot into Tab A6."""
 
-    # Pre-build index in background
-    status_msg = "Initializing RAG index..."
-    ok, build_msg = _build_index()
-    status_msg = build_msg if ok else f"⚠️ {build_msg}"
-
     gr.Markdown(
-        f"**Status:** {status_msg}\n\n"
+        "**Status:** Model loads on first query (~30s)...\n\n"
         "Ask questions about LNP delivery, protein corona, cancer variants, or liquid biopsy. "
         "Answers are grounded in 20 indexed papers — never fabricated."
     )
@@ -621,19 +616,14 @@ def build_chatbot_tab():
                 "**Protein Corona**\n"
                 "- Hard vs soft corona\n"
                 "- Vroman effect kinetics\n"
-                "- ApoE/LDLR targeting\n"
-                "- Corona engineering\n\n"
+                "- ApoE/LDLR targeting\n\n"
                 "**Cancer Variants**\n"
                 "- TP53 mutation spectrum\n"
                 "- KRAS G12C resistance\n"
-                "- ClinVar classification\n"
-                "- gnomAD population AF\n\n"
+                "- ClinVar classification\n\n"
                 "**Liquid Biopsy**\n"
                 "- ctDNA methylation\n"
-                "- cfRNA biomarkers\n\n"
-                "**Cancer Vaccines**\n"
-                "- mRNA neoantigen vaccines\n"
-                "- siRNA tumor delivery"
+                "- cfRNA biomarkers"
             )
             gr.Markdown(
                 "### 🔑 Confidence Flags\n"
@@ -655,7 +645,6 @@ def build_chatbot_tab():
     user_input.submit(respond, inputs=[user_input, chatbox], outputs=[chatbox, user_input])
     clear_btn.click(lambda: ([], ""), outputs=[chatbox, user_input])
 
-
 # ─────────────────────────────────────────────
 # STANDALONE MODE
 # ─────────────────────────────────────────────