Add AI Model Council tab: app.py

app.py

@@ -375,7 +375,82 @@ Both operations are idempotent and logged.
                 interactive=False,
             )
 
-        # ── Tab 5: Audit Log ─────────────────────────────
+        # ── Tab 5: AI Model Council ──────────────────────
+        with gr.Tab("🏛️ AI Model Council"):
+            gr.Markdown("""### AI Model Council — Multi-Agent Claim Extraction
+            
+The Council is a 4-member deliberation pipeline that produces higher-quality claim extraction:
+
+| Member | Role | What It Does |
+|--------|------|-------------|
+| **Query Planner** | Decomposer | Breaks complex questions into 2-4 search queries |
+| **Extractor** | Claim Miner | Extracts atomic claims with epistemic tags |
+| **Critic** | Challenger | Reviews claims against source, flags errors |
+| **Chairman** | Synthesizer | Produces final claims with 0.7 completeness penalty |
+""")
+            
+            with gr.Row():
+                council_text = gr.Textbox(
+                    label="Scientific Text",
+                    placeholder="Paste a paragraph from a scientific paper...",
+                    lines=8,
+                )
+            council_query = gr.Textbox(
+                label="Research Question (optional)",
+                placeholder="e.g., What is the detection limit for GFET cardiac sensors?",
+            )
+            council_btn = gr.Button("🏛️ Convene Council", variant="primary")
+            
+            with gr.Row():
+                council_claims = gr.JSON(label="Final Claims (Chairman Output)")
+            
+            with gr.Accordion("Council Deliberation Details", open=False):
+                council_queries = gr.JSON(label="Query Plan (Planner)")
+                council_raw = gr.JSON(label="Raw Extraction (Extractor)")
+                council_critique = gr.JSON(label="Critique (Critic)")
+                council_meta = gr.JSON(label="Round Metadata")
+            
+            def run_council_ui(text, query):
+                if not text or len(text.strip()) < 50:
+                    return (
+                        [{"error": "Please provide at least 50 characters of scientific text"}],
+                        [], [], {}, {}
+                    )
+                from phd_research_os.council import ModelCouncil
+                council = ModelCouncil(brain=None, db_path=DB_PATH)
+                result = council.deliberate(text, query=query if query else None)
+                return (
+                    result.final_claims,
+                    result.query_plan,
+                    result.raw_extraction,
+                    result.critique,
+                    result.metadata,
+                )
+            
+            council_btn.click(
+                run_council_ui,
+                inputs=[council_text, council_query],
+                outputs=[council_claims, council_queries, council_raw, council_critique, council_meta],
+            )
+            
+            gr.Markdown("---\n### Council History")
+            history_btn = gr.Button("🔄 Load History")
+            history_display = gr.Dataframe(
+                headers=["Round ID", "Claims", "Tokens", "Started"],
+                value=[],
+            )
+            
+            def load_council_history():
+                from phd_research_os.council import ModelCouncil
+                council = ModelCouncil(brain=None, db_path=DB_PATH)
+                history = council.get_council_history(limit=10)
+                return [[h["round_id"], h.get("final_claim_count", 0),
+                         h.get("total_tokens", 0), h.get("started_at", "")[:19]]
+                        for h in history]
+            
+            history_btn.click(load_council_history, outputs=history_display)
+
+        # ── Tab 6: Audit Log ─────────────────────────────
         with gr.Tab("📋 Audit Log"):
             gr.Markdown("### Taxonomy Audit Trail\nEvery domain change, migration, and rollback is logged.")