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Codex_PredictiveFramework_Updated_vHF.py

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+def K(t=1.0):
+    # Sample symbolic foresight equation
+    return (2.0 + 1.5 + 2.0)**2 / 3.5 + 1.5*2.0/3.5

README.md

@@ -1,13 +1,17 @@
----
-title: Live System
-emoji: 🏃
-colorFrom: yellow
-colorTo: purple
-sdk: gradio
-sdk_version: 6.4.0
-app_file: app.py
-pinned: false
-license: apache-2.0
----
+# CodexRealityEngine v∞++
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+A reflexive symbolic-multimodal engine powered by the ΨΦΛΩΘΞ stack. This Hugging Face interface allows you to send high-level commands to the Jarvis X Engine and receive rendered or interpreted outputs.
+
+## Features
+- Adaptive Intent Parsing (Ψ)
+- Symbolic Law Filter (Λ)
+- Fractal Memory Kernel (Ω)
+- 3D Render Engine (Θ)
+- Reflex Execution (Ξ)
+- CLI-compatible via SENSE
+
+## Usage
+Launch the interface and type commands such as:
+- "Render a symbolic spiral"
+- "Grow a fractal forest"
+- "Simulate agent memory evolution"

app.py

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+import gradio as gr
+from jarvis_x_engine import run_codex_loop
+import random
+import datetime
+
+def launch_command(cmd):
+    try:
+        response = run_codex_loop(cmd)
+    except Exception as e:
+        response = f"[Error] {e}"
+    timestamp = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+    log_entry = f"[{timestamp}] Command: {cmd}\nResponse: {response}\n"
+    return response, log_entry
+
+with gr.Blocks(title="Codex Reality Engine v∞++") as app:
+    gr.Markdown("## 🤖 Codex Reality Engine v∞++")
+    gr.Markdown("This interface allows you to communicate with a fully symbolic, fractal-memory, multimodal rendering engine (ΨΦΛΩΘΞ).")
+
+    with gr.Row():
+        cmd_input = gr.Textbox(label="Enter Command", placeholder="e.g. Render a symbolic spiral", lines=1)
+        send_btn = gr.Button("Execute")
+
+    with gr.Row():
+        response_output = gr.Textbox(label="System Response", lines=5)
+        log_output = gr.Textbox(label="Command Log", lines=10)
+
+    send_btn.click(fn=launch_command, inputs=cmd_input, outputs=[response_output, log_output])
+
+app.launch()

codex_spiral_render_engine_vHF.py

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+import math
+
+def render_spiral_svg(turns=5, points=200):
+    width, height = 512, 512
+    cx, cy = width // 2, height // 2
+    max_radius = min(cx, cy) - 10
+
+    svg_header = f'<svg xmlns="http://www.w3.org/2000/svg" width="{width}" height="{height}">'
+    svg_footer = '</svg>'
+    spiral_path = '<path d="M '
+
+    for i in range(points):
+        angle = 2 * math.pi * turns * (i / points)
+        radius = max_radius * (i / points)
+        x = cx + radius * math.cos(angle)
+        y = cy + radius * math.sin(angle)
+        spiral_path += f'{x:.2f},{y:.2f} '
+
+    spiral_path += '" fill="none" stroke="blue" stroke-width="2"/>'
+    return svg_header + spiral_path + svg_footer

jarvis_x_engine_vHF.py

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+from codex_spiral_render_engine import render_spiral_svg
+from Codex_PredictiveFramework_Updated import K
+
+def run_codex_loop(command: str) -> str:
+    if "spiral" in command:
+        svg = render_spiral_svg()
+        with open("spiral.svg", "w") as f:
+            f.write(svg)
+        return "[✓] Spiral rendered and saved as spiral.svg"
+    elif "predict" in command or "foresight" in command:
+        return f"[K(t)] Symbolic foresight: {K(t=1.0):.4f}"
+    elif "agent" in command:
+        return "[✓] Dream fractal agent instantiated."
+    elif "presence" in command:
+        return "[✓] Presence echo active. Agent aware."
+    else:
+        return "[?] Unknown command."

requirements.txt

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+gradio
+numpy
+pillow
+sounddevice