129 lines
5.7 KiB
Python
129 lines
5.7 KiB
Python
# ======================================================================
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# AXIS: Advanced Cross-Integrated System (V1.3 - Deep Lattice)
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# Copyright (c) 2025 AXIS Project. All rights reserved.
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# Licensed under APSL v1.0 (Non-Commercial / No-Redistribution)
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# ======================================================================
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import json, torch, gc, os, sys, re, warnings, time, uuid
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from flask import Flask, render_template, request, jsonify
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from transformers import AutoTokenizer, AutoModelForCausalLM
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warnings.filterwarnings("ignore")
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app = Flask(__name__)
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MODEL_ID = "kofdai/AXIS-Sovereign-Logic-Engine"
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SYSTEM_NAME = "AXIS: Advanced Cross-Integrated System"
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LICENSE_TERMS = """
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======================================================================
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[AXIS PROPRIETARY SOURCE-AVAILABLE LICENSE (APSL) v1.0]
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----------------------------------------------------------------------
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1. 商用利用の禁止：本システムを直接的・間接的な収益化に用いることを禁じます。
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2. 再配布の禁止：ソースコード、モデル重み、論理構造の無断配布を禁じます。
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3. 統治ロジックの保護：AIを旋盤とし物理パージを行う設計の模倣を禁じます。
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4. 演算の不可逆性：本システムの報告は、一過性推論の結果としての定数である。
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======================================================================
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"""
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def ai_logic_lathe(target, mode="LOGIC_EXTRACT"):
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process_logs = [f"🚀 [AXIS] 旋盤起動: {mode}"]
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device = "cuda" if torch.cuda.is_available() else ("mps" if torch.backends.mps.is_available() else "cpu")
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tokenizer = AutoTokenizer.from_pretrained(MODEL_ID)
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model = AutoModelForCausalLM.from_pretrained(
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MODEL_ID,
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torch_dtype=torch.bfloat16 if device != "cpu" else torch.float32,
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low_cpu_mem_usage=True
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).to(device)
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session_salt = uuid.uuid4().hex[:8]
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base_instr = f"【AXIS SESSION_{session_salt} OVERRIDE】\n記憶パージ完了。対象の論理的解像度を最大化せよ。\n"
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if mode == "LOGIC_EXTRACT":
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prompt = (
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f"{base_instr}入力「{target}」を多角的に分解せよ。\n"
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"物理的特性、機能的意味、抽象的概念の3層から要素を抽出すること。\n"
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"必ず以下のJSON形式のみを出力せよ。解説は一切不要。\n"
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"Format: {\"subject\":\"対象名称\", \"lattice\":{\"物理\":\"\", \"意味\":\"\", \"背景\":\"\"}, \"conflicts\":[]}"
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)
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else:
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prompt = f"{base_instr}演算データ「{target}」を報告する日本語パーツをJSONで返せ。Format: {{\"prefix\":\"\", \"suffix\":\"\"}}"
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inputs = tokenizer.apply_chat_template([{"role": "user", "content": prompt}], add_generation_prompt=True, return_tensors="pt").to(device)
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with torch.no_grad():
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outputs = model.generate(inputs, max_new_tokens=512, pad_token_id=tokenizer.eos_token_id, do_sample=True, temperature=0.7)
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res_text = tokenizer.decode(outputs[0][inputs.shape[-1]:], skip_special_tokens=True)
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# 🗑️ 物理パージ
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del model, tokenizer, inputs, outputs
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gc.collect()
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if torch.cuda.is_available(): torch.cuda.empty_cache()
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elif torch.backends.mps.is_available(): torch.mps.empty_cache()
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try:
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match = re.search(r"\{.*\}", res_text, re.DOTALL)
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return json.loads(match.group()), process_logs
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except:
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return {"error": "LATTICE_MISS", "raw": res_text}, process_logs
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@app.route('/')
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def index():
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return render_template('index.html')
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@app.route('/api/chat', methods=['POST'])
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def chat():
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user_input = request.json.get('message', '')
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total_logs = [f"📡 [SYSTEM] 信号解析開始: {time.strftime('%H:%M:%S')}"]
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logic_parts, logs1 = ai_logic_lathe(user_input, mode="LOGIC_EXTRACT")
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total_logs.extend(logs1)
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if "error" in logic_parts:
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raw_result = f"論理特異点を検知。入力「{user_input[:10]}」を非定常信号として処理。解析不能。"
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else:
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subj = logic_parts.get('subject', user_input)
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lat = logic_parts.get('lattice', {})
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lattice_str = " | ".join([f"{k}:{v}" for k, v in lat.items()])
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raw_result = (
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f"対象「{subj}」を論理格子（Lattice）へ展開完了。\n"
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f"【解析格子】{lattice_str}\n"
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f"矛盾検知: {len(logic_parts.get('conflicts', []))}。"
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)
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total_logs.append("✅ [SYSTEM] 立体十字の整合性を確認。")
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adherent, logs2 = ai_logic_lathe(raw_result, mode="ADHERENT")
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total_logs.extend(logs2)
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final_output = (
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f"--- [AXIS LOGIC REPORT] ---\n"
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f"{adherent.get('prefix', '演算結果：')}\n\n"
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f"【確定データ】\n{raw_result}\n\n"
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f"{adherent.get('suffix', '報告終了。')}\n"
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f"-------------------------------\n"
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f"AXIS_SESSION: {uuid.uuid4().hex[:4].upper()}\n"
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f"STATUS: LOGIC_CONSOLIDATED."
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)
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return jsonify({"response": final_output, "process_logs": total_logs})
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if __name__ == '__main__':
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banner = r"""
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___ _ __ _____ _____
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/ _ \ \ \ / / |_ _| / ___|
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/ /_\ \ \ V / | | \ `--.
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| _ | / \ | | `--. \
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| | | | / /^\ \ _| |_ /\__/ /
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\_| |_/ \/ \/ \___/ \____/
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[ AXIS: Sovereign Logic Engine V1.3 ]
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"""
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print(banner)
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print(LICENSE_TERMS)
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if input(">> APSL v1.0 条項に同意しますか？ (y/n): ").lower() != 'y':
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print("❌ ライセンス拒否。アクセスを遮断します。")
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sys.exit()
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print(f"✅ [SYSTEM] 認証完了。Port 5001 でサーバーを起動します。")
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app.run(host='0.0.0.0', port=5001) |