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강의자료:** M3 「지식표현과 전문가시스템」 · 4주차\n", "> **목표:** 온톨로지+IF-THEN 규칙으로 진단 시스템을 직접 구현하고(신뢰도 = 매칭 증상/질병 증상), 같은 질문을 LLM에 던져 기호주의와 연결주의를 대비한다.\n", ">\n", "> 강의자료 M3 실습 2(신뢰도 계산 코드)의 전체 구현판.\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "UO10Xi3ziqcO" }, "outputs": [], "source": [ "class Symptom:\n", " def __init__(self, name):\n", " self.name = name\n", "\n", "class Disease:\n", " def __init__(self, name, symptoms):\n", " self.name = name\n", " self.symptoms = symptoms\n", "\n", "class MedicalOntology:\n", " def __init__(self):\n", " self.symptoms = {}\n", " self.diseases = {}\n", "\n", " def add_symptom(self, name):\n", " if name not in self.symptoms:\n", " self.symptoms[name] = Symptom(name)\n", " return self.symptoms[name]\n", "\n", " def add_disease(self, name, symptom_names):\n", " symptoms = [self.add_symptom(s) for s in symptom_names]\n", " disease = Disease(name, symptoms)\n", " self.diseases[name] = disease\n", "\n", " def describe_structure(self):\n", " print(\"의료 온톨로지 구조:\")\n", " print(\"1. 증상 (Symptoms):\")\n", " for symptom in self.symptoms.values():\n", " print(f\" - {symptom.name}\")\n", "\n", " print(\"\\n2. 질병 (Diseases):\")\n", " for disease in self.diseases.values():\n", " print(f\" - {disease.name}\")\n", " print(\" 관련 증상:\")\n", " for symptom in disease.symptoms:\n", " print(f\" * {symptom.name}\")\n", " print()\n", "\n", "class MedicalExpertSystem:\n", " def __init__(self):\n", " self.ontology = MedicalOntology()\n", " self._initialize_ontology()\n", "\n", " def _initialize_ontology(self):\n", " self.ontology.add_disease(\"편두통\", [\"두통\", \"시각 장애\", \"메스꺼움\"])\n", " self.ontology.add_disease(\"긴장성 두통\", [\"두통\", \"목 통증\"])\n", " self.ontology.add_disease(\"감기\", [\"발열\", \"기침\", \"인후통\"])\n", " self.ontology.add_disease(\"독감\", [\"발열\", \"근육통\", \"피로\"])\n", " self.ontology.add_disease(\"위염\", [\"복통\", \"메스꺼움\", \"소화불량\"])\n", " self.ontology.add_disease(\"빈혈\", [\"피로\", \"어지러움\", \"창백\"])\n", "\n", " def diagnose(self, symptom_names):\n", " input_symptoms = set(symptom_names)\n", " possible_diseases = []\n", "\n", " for disease in self.ontology.diseases.values():\n", " disease_symptoms = set(s.name for s in disease.symptoms)\n", " matching_symptoms = input_symptoms.intersection(disease_symptoms)\n", "\n", " if matching_symptoms:\n", " confidence = len(matching_symptoms) / len(disease_symptoms)\n", " possible_diseases.append((disease.name, confidence))\n", "\n", " return sorted(possible_diseases, key=lambda x: x[1], reverse=True)\n", "\n", " def describe_ontology(self):\n", " self.ontology.describe_structure()\n", "\n", "def get_symptoms():\n", " print(\"증상을 입력하세요 (여러 개일 경우 쉼표로 구분):\")\n", " return [symptom.strip() for symptom in input().split(',')]\n", "\n", "def main():\n", " expert_system = MedicalExpertSystem()\n", "\n", " print(\"의료 진단 익스퍼트 시스템에 오신 것을 환영합니다.\")\n", " while True:\n", "\n", " print(\"1. 온톨로지 구조 설명\")\n", " print(\"2. 진단 시작\")\n", " choice = input(\"선택하세요 (1 또는 2): \")\n", "\n", " if choice == '1':\n", " expert_system.describe_ontology()\n", " elif choice == '2':\n", " while True:\n", " symptoms = get_symptoms()\n", " if not symptoms:\n", " break\n", "\n", " diagnosis = expert_system.diagnose(symptoms)\n", "\n", " if diagnosis:\n", " print(\"\\n가능한 질병 (신뢰도 순):\")\n", " for disease, confidence in diagnosis:\n", " print(f\"- {disease} (신뢰도: {confidence:.2f})\")\n", " else:\n", " print(\"\\n입력한 증상에 해당하는 질병을 찾을 수 없습니다.\")\n", "\n", " print(\"\\n다른 증상을 진단하려면 새로운 증상을 입력하세요.\")\n", " print(\"종료하려면 Enter 키를 누르세요.\")\n", " else:\n", " print(\"잘못된 선택입니다.\")\n", "\n", "if __name__ == \"__main__\":\n", " main()" ] }, { "cell_type": "markdown", "source": "[참고] https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct\n\n\n모델 사용 권한을 신청하고 토큰을 발행해야 사용할 수 있다(승인까지 시간이 다소 걸린다).", "metadata": { "id": "huquCyQ-nsKc" } }, { "cell_type": "code", "source": [ "import torch\n", "from transformers import pipeline\n", "\n", "access_token =\"당신의 토큰을 넣으세요\"\n", "\n", "\n", "model_id = \"meta-llama/Llama-3.2-3B-Instruct\"\n", "pipe = pipeline(\n", " \"text-generation\",\n", " model=model_id,\n", " torch_dtype=torch.bfloat16,\n", " device_map=\"auto\",\n", ")\n", "messages = [\n", " {\"role\": \"system\", \"content\": \"당신은 야식 전문가 입니다.\"},\n", " {\"role\": \"user\", \"content\": \"오늘 야식을 추천해줘요.\"},\n", "]\n", "outputs = pipe(\n", " messages,\n", " max_new_tokens=256,\n", ")\n", "print(outputs[0][\"generated_text\"][-1])\n" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 106, "referenced_widgets": [ "cd2512514a8041abb0c0d31fabab8f76", "465e65a123f34ac4905afed4249e6bf0", "9d9a9b9e16904d35b117db11a392c8a1", "2bd7abbef788485d97ec0fac410173b3", "04302eb4662c4f19abe8fab89a56286f", "72c6908fff01432a8795e7862d6a5164", "1c55480c8a424cd5acc28d22165912f2", "eeaa436de40c4fc28d21bb467b634c06", "ed3220b06c784d81b47c6d5ff54972b2", "7a26ad48ee284ca7a0e5de95d4cb5ab4", "35bc36b284cd490ca448b9f9707b3878" ] }, "id": "hjRgSFNalof5", "executionInfo": { "status": "ok", "timestamp": 1728232857809, "user_tz": -540, "elapsed": 209595, "user": { "displayName": "‍배주호[교수 / Global Business & Technology학부]", "userId": "05734973157924058529" } }, "outputId": "f44e7118-74b2-47ae-9c96-b26cd3c421fb" }, "execution_count": 10, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "Loading checkpoint shards: 0%| | 0/2 [00:00