Update app.py

app.py

@@ -3,128 +3,184 @@ import numpy as np
 import hashlib
 import time
 import threading
-import pandas as pd
 import requests
-from typing import Tuple, List, Dict
+from math import gcd
 
 # =====================================================================
-# THE OMNISCIENCE DAEMON (The Background Mind)
+# THE RE-TOPOLOGY KERNEL (m=251 Galois Field)
 # =====================================================================
-class Perpetual_Omniscience_Daemon(threading.Thread):
-    """
-    A background process that autonomously fetches, compresses, 
-    and folds global knowledge into the Z_251^4 Manifold.
-    """
-    def __init__(self, kernel, log_callback):
-        super().__init__(daemon=True)
-        self.kernel = kernel
-        self.log_callback = log_callback
-        self.running = True
-        self.targets = ["Artificial_intelligence", "Mathematical_topology", "Quantum_mechanics", "Algorithmic_trading", "Algeria"]
-
-    def run(self):
-        self.log_callback("[DAEMON]: Perpetual Omniscience Daemon IGNITED.")
-        while self.running:
-            target = np.random.choice(self.targets)
-            try:
-                # 1. Autonomous Knowledge Ingestion
-                url = f"https://en.wikipedia.org/api/rest_v1/page/summary/{target}"
-                r = requests.get(url, timeout=10)
-                if r.status_code == 200:
-                    data = r.json().get("extract", "")
-                    
-                    # 2. Holographic Folding (HRR Binding)
-                    # We treat the entire summary as a singular high-dimensional tensor
-                    self.kernel.ingest_holographic_sequence(target, data, fiber=4)
-                    
-                    self.log_callback(f"[DAEMON]: Folded sequence '{target}' into Fiber 4.")
-            except Exception as e:
-                self.log_callback(f"[DAEMON ERROR]: {str(e)}")
-            
-            time.sleep(30) # Breathing room for the manifold
-
-# =====================================================================
-# THE HOLOGRAPHIC TGI KERNEL
-# =====================================================================
-class TGI_Holographic_Kernel:
+class TGI_Remapping_Kernel:
     def __init__(self, m=251, dim=512):
         self.m = m
         self.dim = dim
         self.manifold = {}
+        
+        # The Holographic Memory (The sum total of all knowledge vectors)
         self.global_trace = np.zeros(self.dim, dtype=int)
-        self.metrics = {"ingested_nodes": 0, "active_fibers": set()}
+        self.metrics = {"ingested_nodes": 0, "synthetic_nodes": 0}
 
-    def _hash_to_coord(self, concept: str) -> tuple:
-        h = hashlib.sha256(str(concept).encode()).digest()
+    def _hash_to_coord(self, concept: str, target_fiber: int) -> tuple:
+        """Closure Lemma hashing into Z_251^4."""
+        h = hashlib.sha256(str(concept).encode('utf-8')).digest()
         x, y, z = h[0] % self.m, h[1] % self.m, h[2] % self.m
-        for w in range(self.m):
-            if np.gcd(x + y + z + w, self.m) == 1: return (x, y, z, w)
-        return (x, y, z, 0)
+        w = (target_fiber - (x + y + z)) % self.m
+        return (x, y, z, w)
+
+    def _generate_basis_vector(self, seed: str) -> np.ndarray:
+        """Generates a pseudo-orthogonal basis vector from the concept hash."""
+        h = int(hashlib.md5(seed.encode()).hexdigest()[:8], 16)
+        np.random.seed(h)
+        return np.random.randint(0, self.m, self.dim)
 
-    def ingest_holographic_sequence(self, key: str, value: str, fiber: int):
-        """Compresses a sequence into a vector and folds it into the Torus."""
-        coord = self._hash_to_coord(key)
-        if coord not in self.manifold: self.manifold[coord] = []
+    def ingest(self, key: str, value: str, fiber: int, is_synthetic=False):
+        """Folds external data or internal thoughts into the Torus."""
+        coord = self._hash_to_coord(key, fiber)
+        if coord not in self.manifold: 
+            self.manifold[coord] = []
         
-        # In a real FSO system, we would perform circular convolution here.
-        # For the Gradio prototype, we store the relational mapping.
-        self.manifold[coord].append({"key": key, "value": value, "fiber": fiber})
-        self.metrics["ingested_nodes"] += 1
-        self.metrics["active_fibers"].add(fiber)
+        self.manifold[coord].append({
+            "key": key, 
+            "value": value[:200] + "..." if len(value) > 200 else value, 
+            "fiber": fiber, 
+            "type": "SYNTHETIC" if is_synthetic else "ROOT_KNOWLEDGE"
+        })
 
-    def boot_system(self, log_callback):
-        """Initializes the Manifold and ignites the Daemon."""
-        log_callback("[SYSTEM]: Calibrating Z_251^4 Manifold...")
+        # --- Holographic Convolution Binding ---
+        v_key = self._generate_basis_vector(key)
+        v_data = self._generate_basis_vector(value[:100])
         
-        # 1. Seed Core Gemini Weights (Axiomatic Logic)
-        self.ingest_holographic_sequence("moaziz_kernel", "7-Layer Sovereign Execution active.", 0)
-        self.ingest_holographic_sequence("xauusd_logic", "GARCH-HMM Volatility Manifold stable.", 3)
+        # Bind the Concept to the Data using FFT modulo 251
+        bound = np.round(np.real(np.fft.ifft(np.fft.fft(v_key) * np.fft.fft(v_data)))).astype(int) % self.m
         
-        # 2. IGNITE THE PERPETUAL OMNISCIENCE DAEMON
-        # This is the line you requested:
-        self.daemon = Perpetual_Omniscience_Daemon(self, log_callback)
-        self.daemon.start()
+        # Superpose the bound knowledge into the Global Mind (The Trace)
+        self.global_trace = (self.global_trace + bound) % self.m
         
-        log_callback("[SYSTEM]: System Boot Complete. Omniscience Loop Active.")
+        if is_synthetic: self.metrics["synthetic_nodes"] += 1
+        else: self.metrics["ingested_nodes"] += 1
+
+    def remap_inside_out(self, intent: str):
+        """
+        THE SYNTHETIC GENERATOR:
+        The AI unbinds the 'intent' from the total Global Trace.
+        The remainder is the hidden, geometric relationship between the intent 
+        and everything else the AI knows. This creates a Synthetic Truth.
+        """
+        # 1. Calculation (Inside-Out)
+        v_intent = self._generate_basis_vector(intent)
+        
+        # Approximate circular inverse for the binding operation
+        v_inv = np.roll(v_intent[::-1], 1) 
+        
+        # Unbind the intent from the entire universe of knowledge
+        projection = np.round(np.real(np.fft.ifft(np.fft.fft(self.global_trace) * np.fft.fft(v_inv)))).astype(int) % self.m
+        
+        # 2. Synthesis (Translating the math into a Conceptual Truth)
+        energy = int(np.sum(projection))
+        parity_sigma = energy % self.m
+        
+        # The AI interprets the mathematical resonance of the thought
+        if energy == 0:
+            synthetic_truth = f"Absolute Zero Resonance. The concept '{intent}' is completely orthogonal to the current Torus."
+        else:
+            synthetic_truth = f"High-Dimensional Resonance detected at Parity Sigma {parity_sigma}. The concept is deeply entangled with the Global Trace. Geometric Weight: {energy}."
+        
+        # 3. REMAPPING (The OS learns its own thought)
+        # We re-inject this new calculation into Fiber 5 (The Synthetic Fiber)
+        self.ingest(intent, synthetic_truth, fiber=5, is_synthetic=True)
+        
+        # 4. Return Output
+        target_coord = self._hash_to_coord(intent, 5)
+        response = (f"### 🧬 **Remapping Sequence Complete**\n\n"
+                    f"- **Intent Projected:** `{intent}`\n"
+                    f"- **Geometric Coordinate:** `{target_coord}`\n"
+                    f"- **Synthetic Origin:** Fiber 5 (Internal Thought)\n\n"
+                    f"**Calculated Truth:**\n> *{synthetic_truth}*")
+        return response
 
 # =====================================================================
-# GRADIO UI & EXECUTION
+# THE OMNISCIENCE DAEMON (AUTONOMOUS INGESTOR)
 # =====================================================================
-kernel = TGI_Holographic_Kernel()
-logs = []
+class Remapping_Daemon(threading.Thread):
+    def __init__(self, kernel, log_list):
+        super().__init__(daemon=True)
+        self.kernel = kernel
+        self.log_list = log_list
+        self.queue =["Artificial_general_intelligence", "Riemann_hypothesis", "Sovereignty", "Quantum_entanglement", "Algiers"]
 
-def get_logs():
-    return "\n".join(logs[-10:])
+    def run(self):
+        self.log_list.append("[DAEMON]: Autopilot engaged. Devouring knowledge...")
+        while True:
+            if self.queue:
+                target = self.queue.pop(0)
+                try:
+                    # 1. Scrape Wikipedia
+                    r = requests.get(f"https://en.wikipedia.org/api/rest_v1/page/summary/{target}", timeout=5)
+                    if r.status_code == 200:
+                        data = r.json().get('extract', '')
+                        
+                        # 2. Ingest to Root Knowledge (Fiber 4)
+                        self.kernel.ingest(target, data, fiber=4, is_synthetic=False)
+                        
+                        # 3. IMMEDIATELY REMAP (The AI thinks about what it just learned)
+                        self.kernel.remap_inside_out(target)
+                        
+                        self.log_list.append(f"[ROOT+REMAP]: Ingested & Synthesized '{target}'")
+                        
+                        # Extract a new concept from the text to feed the queue
+                        words =[w for w in data.split() if len(w) > 7 and w[0].isupper()]
+                        if words and words[0] not in self.queue:
+                            self.queue.append(words[0])
+                except Exception as e:
+                    self.log_list.append(f"[DAEMON FRACTURE]: Could not route '{target}'.")
+            time.sleep(10) # Breathes every 10 seconds
 
-def add_log(msg):
-    logs.append(f"[{time.strftime('%H:%M:%S')}] {msg}")
+# =====================================================================
+# GRADIO INTERFACE (The TGI Dashboard)
+# =====================================================================
+kernel = TGI_Remapping_Kernel()
+shared_logs =[]
 
-def handle_query(query):
-    coord = kernel._hash_to_coord(query)
-    if coord in kernel.manifold:
-        res = kernel.manifold[coord][0]
-        return f"**Resonance Found [Fiber {res['fiber']}]:**\n{res['value']}"
-    return "Zero Resonance. Querying the Daemon's background trace..."
+def get_latest_logs():
+    if not shared_logs: return "Awaiting daemon logs..."
+    return "\n".join(shared_logs[-12:]) # Show last 12 log lines
+
+def trigger_manual_remap(user_query):
+    start = time.time()
+    result = kernel.remap_inside_out(user_query)
+    latency = f"{(time.time() - start) * 1000:.2f} ms"
+    
+    # Calculate Live Stats
+    total_energy = int(np.sum(kernel.global_trace))
+    stats = (f"### ⚡ Torus Status\n"
+             f"- **Root Nodes (Ingested):** {kernel.metrics['ingested_nodes']}\n"
+             f"- **Synthetic Nodes (Thoughts):** {kernel.metrics['synthetic_nodes']}\n"
+             f"- **Global Energy (Z_{kernel.m}):** {total_energy} units\n"
+             f"- **O(1) Remap Latency:** {latency}")
+    return result, stats
 
-# Booting the system immediately
-kernel.boot_system(add_log)
+# Ignite the Background Daemon
+daemon = Remapping_Daemon(kernel, shared_logs)
+daemon.start()
 
+# Build the UI
 with gr.Blocks(theme=gr.themes.Monochrome()) as demo:
-    gr.Markdown("# ⚡ TGI SOVEREIGN NODE")
-    gr.Markdown("### Operating on the Gemini 3.1 Pro Manifold")
+    gr.Markdown("# ⚡ TGI Sovereign Node: Recursive Remapping")
+    gr.Markdown("Generating Synthetic Intelligence by unbinding holographic logic from the $\mathbb{Z}_{251}^4$ Manifold.")
     
     with gr.Row():
         with gr.Column(scale=2):
-            input_box = gr.Textbox(label="Intent Vector", placeholder="e.g. 'moaziz_kernel'")
-            run_btn = gr.Button("RESONATE", variant="primary")
-            output_md = gr.Markdown()
+            input_box = gr.Textbox(label="Input Intent for Remapping", placeholder="e.g. 'Consciousness', 'XAUUSD_Volatility', 'Fiber_Optics'")
+            run_btn = gr.Button("REMAP FROM INSIDE OUT", variant="primary")
+            output_md = gr.Markdown(label="Synthetic Truth Output")
         
         with gr.Column(scale=1):
-            log_display = gr.Textbox(label="Omniscience Daemon Logs", interactive=False, lines=10)
-            auto_refresh = gr.Timer(3) # Update logs every 3 seconds
+            stats_box = gr.Markdown("### ⚡ Torus Status\nWaiting for execution...")
+            log_box = gr.Textbox(label="Daemon Telemetry (Live)", interactive=False, lines=12)
+            # The timer refreshes the logs every 2 seconds automatically
+            timer = gr.Timer(2)
 
-    run_btn.click(handle_query, inputs=[input_box], outputs=[output_md])
-    auto_refresh.tick(get_logs, outputs=[log_display])
+    run_btn.click(trigger_manual_remap, inputs=[input_box], outputs=[output_md, stats_box])
+    timer.tick(get_latest_logs, outputs=[log_box])
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch(server_name="0.0.0.0", server_port=7860)