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| import json, torch, gc, os, sys, re, warnings, time, uuid |
| from flask import Flask, render_template, request, jsonify |
| from transformers import AutoTokenizer, AutoModelForCausalLM |
|
|
| warnings.filterwarnings("ignore") |
| app = Flask(__name__) |
|
|
| MODEL_ID = "kofdai/AXIS-Sovereign-Logic-Engine" |
| SYSTEM_NAME = "AXIS: Advanced Cross-Integrated System" |
|
|
| LICENSE_TERMS = """ |
| ====================================================================== |
| [AXIS PROPRIETARY SOURCE-AVAILABLE LICENSE (APSL) v1.0] |
| ---------------------------------------------------------------------- |
| 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。 |
| 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。 |
| 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。 |
| 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。 |
| ====================================================================== |
| """ |
|
|
| def ai_logic_lathe(target, mode="LOGIC_EXTRACT"): |
| process_logs = [f"🚀 [AXIS] 旋盤起動: {mode}"] |
| device = "cuda" if torch.cuda.is_available() else ("mps" if torch.backends.mps.is_available() else "cpu") |
| |
| tokenizer = AutoTokenizer.from_pretrained(MODEL_ID) |
| model = AutoModelForCausalLM.from_pretrained( |
| MODEL_ID, |
| torch_dtype=torch.bfloat16 if device != "cpu" else torch.float32, |
| low_cpu_mem_usage=True |
| ).to(device) |
|
|
| session_salt = uuid.uuid4().hex[:8] |
| 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" |
|
|
| if mode == "LOGIC_EXTRACT": |
| prompt = ( |
| f"{base_instr}入力「{target}」を多角的に分解せよ。\n" |
| "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" |
| "必ず以下のJSON形式のみを出力せよ。解説は一切不要。\n" |
| "Format: {\"subject\":\"対象名称\", \"lattice\":{\"物理\":\"\", \"意味\":\"\", \"背景\":\"\"}, \"conflicts\":[]}" |
| ) |
| else: |
| 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\":\"\"}}" |
|
|
| inputs = tokenizer.apply_chat_template([{"role": "user", "content": prompt}], add_generation_prompt=True, return_tensors="pt").to(device) |
| with torch.no_grad(): |
| outputs = model.generate(inputs, max_new_tokens=512, pad_token_id=tokenizer.eos_token_id, do_sample=True, temperature=0.7) |
| |
| res_text = tokenizer.decode(outputs[0][inputs.shape[-1]:], skip_special_tokens=True) |
| |
| |
| del model, tokenizer, inputs, outputs |
| gc.collect() |
| if torch.cuda.is_available(): torch.cuda.empty_cache() |
| elif torch.backends.mps.is_available(): torch.mps.empty_cache() |
| |
| try: |
| match = re.search(r"\{.*\}", res_text, re.DOTALL) |
| return json.loads(match.group()), process_logs |
| except: |
| return {"error": "LATTICE_MISS", "raw": res_text}, process_logs |
|
|
| @app.route('/') |
| def index(): |
| return render_template('index.html') |
|
|
| @app.route('/api/chat', methods=['POST']) |
| def chat(): |
| user_input = request.json.get('message', '') |
| total_logs = [f"📡 [SYSTEM] 信号解析開始: {time.strftime('%H:%M:%S')}"] |
| |
| logic_parts, logs1 = ai_logic_lathe(user_input, mode="LOGIC_EXTRACT") |
| total_logs.extend(logs1) |
| |
| if "error" in logic_parts: |
| 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。" |
| else: |
| subj = logic_parts.get('subject', user_input) |
| lat = logic_parts.get('lattice', {}) |
| lattice_str = " | ".join([f"{k}:{v}" for k, v in lat.items()]) |
| raw_result = ( |
| f"対象「{subj}」を論理格子（Lattice）へ展開完了。\n" |
| f"【解析格子】{lattice_str}\n" |
| f"矛盾検知: {len(logic_parts.get('conflicts', []))}。" |
| ) |
| |
| total_logs.append("✅ [SYSTEM] 立体十字の整合性を確認。") |
|
|
| adherent, logs2 = ai_logic_lathe(raw_result, mode="ADHERENT") |
| total_logs.extend(logs2) |
| |
| final_output = ( |
| f"--- [AXIS LOGIC REPORT] ---\n" |
| f"{adherent.get('prefix', '演算結果：')}\n\n" |
| f"【確定データ】\n{raw_result}\n\n" |
| f"{adherent.get('suffix', '報告終了。')}\n" |
| f"-------------------------------\n" |
| f"AXIS_SESSION: {uuid.uuid4().hex[:4].upper()}\n" |
| f"STATUS: LOGIC_CONSOLIDATED." |
| ) |
| return jsonify({"response": final_output, "process_logs": total_logs}) |
|
|
| if __name__ == '__main__': |
| banner = r""" |
| ___ _ __ _____ _____ |
| / _ \ \ \ / / |_ _| / ___| |
| / /_\ \ \ V / | | \ `--. |
| | _ | / \ | | `--. \ |
| | | | | / /^\ \ _| |_ /\__/ / |
| \_| |_/ \/ \/ \___/ \____/ |
| |
| [ AXIS: Sovereign Logic Engine V1.3 ] |
| """ |
| print(banner) |
| print(LICENSE_TERMS) |
| |
| if input(">> APSL v1.0 条項に同意しますか？ (y/n): ").lower() != 'y': |
| print("❌ ライセンス拒否。アクセスを遮断します。") |
| sys.exit() |
|
|
| print(f"✅ [SYSTEM] 認証完了。Port 5001 でサーバーを起動します。") |
| app.run(host='0.0.0.0', port=5001) |
