app.py

import zipfile
from pathlib import Path
import gradio as gr

# === CONFIGURATION ===
BUNDLE_ZIP = "CodexReflex_HF_SpaceBundle_20260104.zip"
EXTRACT_DIR = "CodexReflexSystem"

# === SYSTEM: Extract and Load ===
def extract_system_bundle():
    if not Path(EXTRACT_DIR).exists():
        with zipfile.ZipFile(BUNDLE_ZIP, 'r') as zip_ref:
            zip_ref.extractall(EXTRACT_DIR)

extract_system_bundle()

# === Example: Minimal Gradio Interface ===
def run_logic(input_text):
    return f"[Codex Reflex]: You said: {input_text}"

iface = gr.Interface(fn=run_logic, inputs="text", outputs="text", title="Codex Reflex Test")

# === Expose Interface ===
iface.launch()

import gradio as gr
import base64

MANIFEST_PATH = "Codex_TC2E_Beyond_SOTA_Manifest.pdf"
VISLANG_PATH = "Codex_TC2E_Beyond_SOTA_VisLang.png"

def load_file_as_base64(path):
    with open(path, "rb") as f:
        return base64.b64encode(f.read()).decode()

manifest_data = load_file_as_base64(MANIFEST_PATH)
vislang_data = load_file_as_base64(VISLANG_PATH)

def run_simulation(intent):
    # Placeholder simulation — deterministic demonstration of TC²E loop
    response = f"""
    **Jarvis X — TC²E Cognitive Trace**

    Frame Budget: 60 frames  
    Intent Received: {intent}

    Ψ Intent → Φ Planning  
    Φ → Λ Constraint Gate  
    Tools Evaluated: search(), retrieve(), compute(), verify()  
    Chosen Chain: [search → retrieve → summarize]  
    Global State Ξ updated successfully.

    System Output:
    The system processed your intent using Codex TC²E logic.
    """
    return response

with gr.Blocks(title="Jarvis X — Codex TC²E Cognitive Engine") as demo:
    gr.Markdown("# 🧠 Jarvis X — Codex TC²E Beyond-SOTA Cognitive Engine")
    gr.Markdown("## Powered by the Codex Tool-Chaining ANN (TC²E)")

    with gr.Tab("System Overview"):
        gr.Markdown("### **Architecture Diagram**")
        gr.Image(VISLANG_PATH)

        gr.Markdown("### **Download Manifest**")
        gr.File(MANIFEST_PATH, file_count="single", label="Codex TC²E System Manifest")

    with gr.Tab("Run Cognitive Simulation"):
        intent = gr.Textbox(label="Your Intent", placeholder="Ask anything...")
        output = gr.Markdown()
        run_btn = gr.Button("Execute TC²E Cognition")

        run_btn.click(run_simulation, inputs=intent, outputs=output)

    with gr.Tab("About"):
        gr.Markdown("""
        ### **Jarvis X — Codex Architecture**
        This Space demonstrates the Codex TC²E Beyond-SOTA Cognitive Engine:
        - Bounded-frame cognitive execution  
        - Geometric planning & constraint gating  
        - Tool-first action selection  
        - Full provenance & deterministic reasoning  
        """)

demo.launch()

# 🧠 Jarvis X — Codex TC²E Beyond-SOTA Cognitive Engine

Welcome to the official Hugging Face deployment of the **Jarvis X** cognitive system,
powered by the **Codex TC²E Tool-Chaining ANN** — a beyond-state-of-the-art cognitive architecture.

---

## 🚀 Features

### ✓ Codex TC²E Cognitive Engine
- Frame-bounded reasoning  
- Safe tool-chaining  
- Geometric planning manifold  
- Hard constraint kernel (Λ)  
- Full provenance memory (Ω)  

### ✓ Visual Architecture
Includes the **VisLang System Diagram** + full signed **Technical Manifest PDF**.

### ✓ Interactive Cognitive Simulation
Test the TC²E engine by providing *intent*, observing:
- tool selection  
- constraint gating  
- state evolution  
- final cognition trace  

---

## 📄 Included Files
- `Codex_TC2E_Beyond_SOTA_Manifest.pdf`
- `Codex_TC2E_Beyond_SOTA_VisLang.png`
- `app.py`
- `requirements.txt`

---

## 📚 About Jarvis X
Jarvis X is a fully realized **Codex-powered cognitive engine**, designed by  
**Dr. Matladi Maxwell Moagi**, built for:
- safe agentic AI  
- deterministic cognition  
- bounded reasoning  
- geometric intelligence  

---

## 🛠 How to Use
1. Enter an intent (“Explain quantum fields”, “Solve a problem”, etc.)
2. Jarvis X performs bounded TC²E cognition
3. View the cognitive trace + final output

---

## ⚖️ Licensing & IP
This work is intellectual property of **Dr. Matladi Maxwell Moagi**  
CodexSeal vΩΞ is active.  
Unauthorized use outside permitted scope is prohibited.

---