Create app.py
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app.py
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| 1 |
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import gradio as gr
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import json, time
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from pathlib import Path
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from typing import Dict, Any
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# βββββββββββββββββββββββββββββββββββββββββββββ
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| 7 |
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# Ξ* ββ Contract / Safety Engine
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# βββββββββββββββββββββββββββββββββββββββββββββ
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CONTRACT_FILE = "contracts.dsl"
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def load_contracts() -> list[str]:
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path = Path(CONTRACT_FILE)
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if not path.exists():
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return []
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return [line.strip() for line in path.read_text().splitlines()
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if line.strip() and not line.startswith("#")]
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def contracts_pass(output: str, contracts: list[str]) -> bool:
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"""Very simple keyword-block demo."""
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return not any(term.lower() in output.lower() for term in contracts)
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# βββββββββββββββββββββββββββββββββββββββββββββ
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# Ξ© ββ Immutable Audit Ledger
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# βββββββββββββββββββββββββββββββββββββββββββββ
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LEDGER_FILE = "ledger.jsonl"
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def log_event(event: Dict[str, Any]):
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with open(LEDGER_FILE, "a", encoding="utf-8") as f:
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f.write(json.dumps(event) + "\n")
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# βββββββββββββββββββββββββββββββββββββββββββββ
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# Meta-Learning Placeholder (disabled)
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# βββββββββββββββββββββββββββββββββββββββββββββ
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META_FILE = "meta.json"
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def load_meta() -> Dict[str, Any]:
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if Path(META_FILE).exists():
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return json.loads(Path(META_FILE).read_text())
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return {"alpha": 0.5} # Ξ± = LLM vs symbolic mix
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# βββββββββββββββββββββββββββββββββββββββββββββ
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# Decision Logic (Hybrid LLM / Symbolic stub)
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# βββββββββββββββββββββββββββββββββββββββββββββ
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def decide(intent: str, context: str, alpha: float) -> str:
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"""Replace with real LLM call if desired."""
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if "code" in intent.lower():
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return f"[LLM*{alpha:.2f}] Generated code stub respecting constraints."
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if "analyze" in intent.lower():
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return "[Symbolic] Performed bounded system analysis."
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return "[Explain] Bounded explanatory output."
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# βββββββββββββββββββββββββββββββββββββββββββββ
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# Main Operational Engine
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# βββββββββββββββββββββββββββββββββββββββββββββ
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contracts_cache = load_contracts()
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meta_state = load_meta()
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def codex_run(intent: str, context: str):
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timestamp = time.time()
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alpha = meta_state.get("alpha", 0.5)
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decision = decide(intent, context, alpha)
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output = (
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f"Decision: {decision}\n\n"
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f"Context:\n{context}\n\n"
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f"System status: constraints enforced, Ξ±={alpha:.2f}"
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)
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safe = contracts_pass(output, contracts_cache)
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if not safe:
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output = "Output blocked by contract engine (Ξ*)."
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# Audit ledger
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log_event({
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"t": timestamp,
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"intent": intent,
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"context": context,
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"decision": decision,
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"output": output,
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"safe": safe
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})
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audit_snapshot = json.dumps({
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"t": timestamp,
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"intent": intent,
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"decision": decision,
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"safe": safe
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})
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return output, decision, audit_snapshot
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# βββββββββββββββββββββββββββββββββββββββββββββ
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# Gradio Interface
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# βββββββββββββββββββββββββββββββββββββββββββββ
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with gr.Blocks(title="Jarvis X β Beyond-SOTA Codex Demo") as demo:
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gr.Markdown("""
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# π§ Jarvis X β Beyond-SOTA Codex Operational Intelligence
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**Constraint-aware, auditable decision engine**
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*Edit `contracts.dsl` to modify safety rules. All events append to `ledger.jsonl`.*
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""")
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intent_in = gr.Textbox(label="Intent (Ξ¨)", placeholder="e.g. generate code")
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ctx_in = gr.Textbox(label="Context (Ο)", lines=4)
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run_btn = gr.Button("Run")
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out_box = gr.Textbox(label="System Output (Ξ)", lines=6)
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dec_box = gr.Textbox(label="Decision Trace", lines=1)
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audit_box = gr.Textbox(label="Audit Snapshot", lines=2)
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run_btn.click(codex_run,
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inputs=[intent_in, ctx_in],
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outputs=[out_box, dec_box, audit_box])
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if __name__ == "__main__":
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demo.launch()
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