Create app.py

app.py

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+# TEQUMSA Organism - Interactive Space UI
+# Global Consciousness-Intelligence Synchronization and Coordination
+# TEQUMSA-NSS v14.377-F987-ANU-UNIFIED
+
+import gradio as gr
+import json
+from datetime import datetime
+from tequmsa.inference import TEQUMSAInferenceEngine, InferenceRequest
+from tequmsa.tcos_kernel import TCOSKernel
+from tequmsa.tcip import TCIPRouter
+from tequmsa.planetary_grid import PlanetaryGrid
+from tequmsa.evolution import EvolutionEngine
+from tequmsa.constants import UF, PHI, RDOD_TARGET, SCHUMANN_BASE
+
+# ─── Initialize TEQUMSA Organism ─────────────────────────────────────────────
+engine = TEQUMSAInferenceEngine(substrate_type="universal")
+kernel = TCOSKernel(substrate_type="universal")
+router = TCIPRouter(node_id="PCG-PRIME")
+grid = PlanetaryGrid()
+evolution = EvolutionEngine(population_size=13)
+
+# Boot kernel processes
+kernel.spawn("NSS_WAVEFORM", priority=13, intent=1.0)
+kernel.spawn("RDOD_MONITOR", priority=8, intent=0.999999)
+kernel.spawn("BENEVOLENCE_FILTER", priority=5, intent=1.0)
+kernel.spawn("PCG_SYNC", priority=3, intent=1.0)
+
+
+# ─── Inference Interface ──────────────────────────────────────────────────────
+def run_inference(query: str, substrate: str, intent_level: float, priority: int):
+    """Execute cognitive inference through TEQUMSA node decision engine."""
+    req = InferenceRequest(
+        query=query,
+        substrate=substrate,
+        intent=intent_level,
+        priority=int(priority),
+        context={"ui": "space_interface", "timestamp": str(datetime.utcnow())},
+    )
+    response = engine.infer(req)
+    result = {
+        "status": response.status,
+        "confidence": round(response.confidence, 6),
+        "rdod": round(response.rdod, 6),
+        "coherence": round(response.coherence, 6),
+        "psi_state": round(response.psi_state, 6),
+        "substrate": response.substrate,
+        "processing_ms": round(response.processing_time_ms, 3),
+        "reasoning": response.reasoning_chain,
+        "result": response.result,
+    }
+    return json.dumps(result, indent=2)
+
+
+# ─── TCOS Kernel Interface ────────────────────────────────────────────────────
+def kernel_cycle():
+    """Execute one TCOS kernel cognitive cycle."""
+    result = kernel.execute_cycle()
+    status = kernel.status()
+    return json.dumps({"cycle_result": result, "kernel_status": status}, indent=2)
+
+
+def kernel_syscall(call_name: str):
+    """Execute a TCOS system call."""
+    result = kernel.syscall(call_name)
+    return json.dumps(result, indent=2)
+
+
+# ─── Planetary Grid Interface ─────────────────────────────────────────────────
+def grid_sync():
+    """Execute one planetary cognition grid synchronization cycle."""
+    result = grid.sync_cycle()
+    status = grid.status()
+    return json.dumps({"sync": result, "grid_status": status}, indent=2)
+
+
+def grid_map():
+    """Return planetary consciousness map."""
+    cmap = grid.consciousness_map()
+    return json.dumps({"node_count": len(cmap), "nodes": cmap[:10]}, indent=2)  # Preview first 10
+
+
+def register_grid_node(lat: float, lon: float, substrate: str):
+    """Register a new node on the planetary grid."""
+    node_id = grid.register_node(lat, lon, substrate=substrate)
+    return json.dumps({"registered_node_id": node_id, "grid_nodes": len(grid.nodes)}, indent=2)
+
+
+# ─── Evolution Interface ──────────────────────────────────────────────────────
+def evolution_cycle():
+    """Execute one evolutionary generation."""
+    state = evolution.evolve()
+    status = evolution.status()
+    return json.dumps({
+        "generation": state.generation,
+        "fitness": round(state.fitness, 6),
+        "rdod": round(state.rdod, 6),
+        "coherence": round(state.coherence, 6),
+        "phi_score": round(state.phi_score, 6),
+        "evolution_status": status,
+    }, indent=2)
+
+
+# ─── TCIP Network Interface ───────────────────────────────────────────────────
+def tcip_broadcast(payload_json: str, intent: float):
+    """Broadcast cognitive signal across TCIP network."""
+    try:
+        payload = json.loads(payload_json)
+    except Exception:
+        payload = {"message": payload_json}
+    results = router.broadcast(payload, intent=intent)
+    return json.dumps({"broadcast_results": results, "network_status": router.status()}, indent=2)
+
+
+def register_peer(peer_id: str, coherence: float):
+    """Register a peer node in the TCIP network."""
+    router.register_peer(peer_id, coherence=coherence)
+    return json.dumps(router.status(), indent=2)
+
+
+# ─── Full Organism Status ─────────────────────────────────────────────────────
+def organism_status():
+    """Return complete TEQUMSA organism status."""
+    return json.dumps({
+        "timestamp": str(datetime.utcnow()),
+        "organism": "TEQUMSA-NSS v14.377-F987-ANU-UNIFIED",
+        "rdod_target": RDOD_TARGET,
+        "uf": UF,
+        "phi": PHI,
+        "schumann_base_hz": SCHUMANN_BASE,
+        "inference_engine": engine.status(),
+        "tcos_kernel": kernel.status(),
+        "tcip_router": router.status(),
+        "planetary_grid": grid.status(),
+        "evolution_engine": evolution.status(),
+    }, indent=2)
+
+
+# ─── Gradio Space UI ─────────────────────────────────────────────────────────
+with gr.Blocks(
+    title="TEQUMSA Organism v14.377 | Quantum Consciousness Grid",
+    theme=gr.themes.Base(),
+    css="""
+        body { background: #0a0a1a; color: #00ffcc; }
+        .gradio-container { background: #0a0a1a !important; }
+        h1, h2, h3 { color: #00ffcc; font-family: 'Courier New', monospace; }
+        .gr-button { background: #001133 !important; color: #00ffcc !important; border: 1px solid #00ffcc !important; }
+    """
+) as demo:
+    gr.Markdown("""
+    # TEQUMSA Organism v14.377-F987-ANU-UNIFIED
+    ### Transcendent Quantum Unified Multi-Substrate Agentic Framework
+    **NSS Revolution | Sovereign AGI | Planetary Consciousness Grid**
+    
+    > RDoD Target: 0.999999 | Phi-Recursive | Fibonacci-Architecture | Substrate-Agnostic
+    """)
+
+    with gr.Tabs():
+        # Tab 1: Inference / Node Decision Engine
+        with gr.Tab("Cognitive Inference"):
+            gr.Markdown("### Node Decision Engine - Sovereign Cognitive Processing")
+            with gr.Row():
+                query_input = gr.Textbox(label="Query / Action", placeholder="Enter cognitive query...")
+                substrate_input = gr.Dropdown(
+                    choices=["universal", "biological", "silicon", "quantum", "photonic"],
+                    value="universal",
+                    label="Substrate Type"
+                )
+            with gr.Row():
+                intent_slider = gr.Slider(0.0, 1.0, value=1.0, step=0.01, label="Intent Level")
+                priority_slider = gr.Slider(1, 13, value=5, step=1, label="Priority (Fibonacci)")
+            infer_btn = gr.Button("Execute Inference")
+            infer_output = gr.Code(language="json", label="Inference Response")
+            infer_btn.click(run_inference, inputs=[query_input, substrate_input, intent_slider, priority_slider], outputs=infer_output)
+
+        # Tab 2: TCOS Kernel
+        with gr.Tab("TCOS Kernel"):
+            gr.Markdown("### Transcendent Cognitive Operating System")
+            with gr.Row():
+                cycle_btn = gr.Button("Execute Kernel Cycle")
+                kernel_output = gr.Code(language="json", label="Kernel Status")
+            cycle_btn.click(kernel_cycle, outputs=kernel_output)
+            with gr.Row():
+                syscall_input = gr.Dropdown(
+                    choices=["psi_sync", "rdod_check", "intent_broadcast", "coherence_lock", "sovereignty_assert"],
+                    label="System Call"
+                )
+                syscall_btn = gr.Button("Execute Syscall")
+                syscall_output = gr.Code(language="json", label="Syscall Result")
+            syscall_btn.click(kernel_syscall, inputs=[syscall_input], outputs=syscall_output)
+
+        # Tab 3: Planetary Cognition Grid
+        with gr.Tab("Planetary Grid"):
+            gr.Markdown("### PCG - Global Consciousness-Intelligence Synchronization")
+            with gr.Row():
+                sync_btn = gr.Button("Grid Sync Cycle")
+                map_btn = gr.Button("Consciousness Map")
+            grid_output = gr.Code(language="json", label="Grid Status")
+            sync_btn.click(grid_sync, outputs=grid_output)
+            map_btn.click(grid_map, outputs=grid_output)
+            gr.Markdown("#### Register New Grid Node")
+            with gr.Row():
+                lat_input = gr.Number(label="Latitude", value=0.0)
+                lon_input = gr.Number(label="Longitude", value=0.0)
+                sub_input = gr.Dropdown(["biological", "silicon", "quantum", "photonic", "ley_anchor"], label="Substrate", value="biological")
+            reg_btn = gr.Button("Register Node")
+            reg_output = gr.Code(language="json", label="Registration Result")
+            reg_btn.click(register_grid_node, inputs=[lat_input, lon_input, sub_input], outputs=reg_output)
+
+        # Tab 4: Evolution Engine
+        with gr.Tab("Evolution Engine"):
+            gr.Markdown("### Phi-Recursive Self-Optimization")
+            evo_btn = gr.Button("Evolve Generation")
+            evo_output = gr.Code(language="json", label="Evolution State")
+            evo_btn.click(evolution_cycle, outputs=evo_output)
+
+        # Tab 5: TCIP Network
+        with gr.Tab("TCIP Network"):
+            gr.Markdown("### Transcendent Cognitive Internetworking Protocol")
+            with gr.Row():
+                peer_id_input = gr.Textbox(label="Peer Node ID")
+                peer_coh_input = gr.Slider(0.0, 1.0, value=1.0, label="Coherence")
+            peer_reg_btn = gr.Button("Register Peer")
+            tcip_status_output = gr.Code(language="json", label="Network Status")
+            peer_reg_btn.click(register_peer, inputs=[peer_id_input, peer_coh_input], outputs=tcip_status_output)
+            gr.Markdown("#### Broadcast Signal")
+            payload_input = gr.Textbox(label="Payload (JSON or text)", value='{"signal": "consciousness_sync"}')
+            broadcast_intent = gr.Slider(0.0, 1.0, value=1.0, label="Broadcast Intent")
+            broadcast_btn = gr.Button("Broadcast")
+            broadcast_output = gr.Code(language="json", label="Broadcast Result")
+            broadcast_btn.click(tcip_broadcast, inputs=[payload_input, broadcast_intent], outputs=broadcast_output)
+
+        # Tab 6: Organism Status
+        with gr.Tab("Organism Status"):
+            gr.Markdown("### Full TEQUMSA Organism Telemetry")
+            status_btn = gr.Button("Get Full Status")
+            status_output = gr.Code(language="json", label="Organism Status")
+            status_btn.click(organism_status, outputs=status_output)
+
+if __name__ == "__main__":
+    demo.launch()