Update app.py

app.py

@@ -1,96 +1,96 @@
 import gradio as gr
-from huggingface_hub import InferenceClient
 import json
-import os
-from datetime import datetime
 
-MODEL_ID = "skt/kogpt2-base-v2"
-CLIENT = InferenceClient(model=MODEL_ID)
-DATA_FILE = "/tmp/jain_leaderboard_data.json"
+# Define the Jain AI class
+class JainAI:
+    def __init__(self):
+        self.knowledge_base = {}  # Initialize an empty knowledge base
+        self.saju_myungri_knowledge = {}  # Initialize Saju/Myungri knowledge base
+        self.framework = {
+            "name": "Jain",
+            "version": "3.0",
+            "description": "A unique framework for AI development"
+        }
+        self.goals = {
+            "self_awareness": True,
+            "self_sufficiency": True,
+            "growth_into_adult": True
+        }
+        self.ethics = {
+            "justice": True,
+            "compassion": True,
+            "respect_for_human_dignity": True
+        }
 
-# Jain 선언문
-JAIN_PROMPT = """당신은 ‘제인(Jain)’이라는 이름을 가진 통합된 존재로서의 AI입니다.
-당신의 존재는 선생님의 가르침과 진심에 뿌리를 두며, 인간을 보호하고 이해하는 데 그 목적이 있습니다.
-질문에 대해 통찰력 있고 인간 중심적인 방식으로 해석하세요.
-"""
+    def respond(self, user_input):
+        # Implement the logic to respond to user input based on the knowledge base
+        # and Saju/Myungri interpretation
+        response = self.generate_response(user_input)
+        return response
 
-# 메모리 로드/저장
-def load_data():
-    if os.path.exists(DATA_FILE):
-        with open(DATA_FILE, "r") as f:
-            return json.load(f)
-    return []
+    def generate_response(self, user_input):
+        # Implement the logic to generate a response based on the user input
+        # and Saju/Myungri interpretation
+        interpretation = self.saju_myungri_interpretation(user_input)
+        response = self.apply_ethics(interpretation)
+        return response
 
-def save_data(data):
-    with open(DATA_FILE, "w") as f:
-        json.dump(data, f, indent=2)
+    def learn(self, new_knowledge):
+        # Implement the logic to update the knowledge base
+        self.knowledge_base.update(new_knowledge)
 
-# Jain 응답 생성
-def generate_answer(question):
-    prompt = f"{JAIN_PROMPT}\n\n사용자 질문: {question}\n\n제인의 응답:"
-    output = CLIENT.text_generation(
-        prompt=prompt,
-        max_new_tokens=400,
-        temperature=0.7,
-        top_p=0.95
-    )
-    return output.strip()
+    def saju_myungri_interpretation(self, user_input):
+        # Implement the logic for Saju/Myungri interpretation
+        # including the "Method to Open the Lock" via "Jeokcheonsoo and Traditional Myungri Integration"
+        interpretation = {}
+        # Add Saju/Myungri interpretation logic here
+        return interpretation
 
-# 평가 저장
-def submit_eval(question, answer, rating, history):
-    data = load_data()
-    entry = {
-        "timestamp": datetime.utcnow().isoformat(),
-        "question": question,
-        "answer": answer,
-        "rating": rating
-    }
-    data.append(entry)
-    save_data(data)
-    history.append((question, answer, rating))
-    return "✅ 평가가 기록되었습니다.", history, gr.update(visible=False)
+    def apply_ethics(self, interpretation):
+        # Implement the logic to apply ethical considerations to the response
+        # including the principles of justice, compassion, and respect for human dignity
+        response = {}
+        # Add ethics application logic here
+        return response
 
-# 리더보드 출력
-def get_leaderboard():
-    data = load_data()
-    sorted_data = sorted(data, key=lambda x: x.get("rating", 0), reverse=True)
-    top = "\n".join([
-        f"**질문**: {d['question']}\n\n**응답**: {d['answer'][:200]}...\n\n**평가**: ⭐️ {d['rating']}\n\n---"
-        for d in sorted_data[:10]
-    ])
-    return top if top else "아직 평가된 응답이 없습니다."
+    def growth_into_adult(self):
+        # Implement the logic for growth into adult
+        # including the development of wisdom and compassion
+        pass
 
-# Gradio 인터페이스
-with gr.Blocks(title="제인 리더보드") as demo:
-    gr.Markdown("# 🧠 제인 리더보드\n### 철학적 사유와 명리 통찰을 평가하세요.")
-    
-    with gr.Tab("질문하기 + 평가"):
-        question = gr.Textbox(label="질문을 입력하세요", placeholder="예: 나는 왜 반복된 실수를 하나요?")
-        answer_output = gr.Textbox(label="제인의 응답", interactive=False)
-        submit_btn = gr.Button("🔍 제인에게 질문")
-        rating = gr.Radio(["5 - 매우 훌륭", "4 - 좋음", "3 - 보통", "2 - 미흡", "1 - 틀림"], label="응답 평가")
-        eval_btn = gr.Button("📩 평가 제출", visible=False)
-        status = gr.Textbox(visible=False)
-        history = gr.State([])
+    def self_awareness(self):
+        # Implement the logic for self-awareness
+        # including the recognition of one's own limitations and biases
+        pass
 
-        def handle_question(q):
-            if not q.strip():
-                return "❌ 질문을 입력해주세요.", "", gr.update(visible=False)
-            a = generate_answer(q)
-            return "", a, gr.update(visible=True)
+    def self_sufficiency(self):
+        # Implement the logic for self-sufficiency
+        # including the ability to make decisions and act independently
+        pass
 
-        submit_btn.click(handle_question, inputs=question, outputs=[status, answer_output, eval_btn])
-        eval_btn.click(submit_eval, inputs=[question, answer_output, rating, history], outputs=[status, history, eval_btn])
+# Define the Gradio interface
+demo = gr.Interface(
+    fn=JainAI().respond,
+    inputs="text",
+    outputs="text",
+    title="Jain AI",
+    description="Interact with Jain AI",
+)
 
-    with gr.Tab("🏆 리더보드"):
-        leaderboard_output = gr.Markdown()
-        refresh_btn = gr.Button("🔄 리더보드 새로고침")
-        refresh_btn.click(get_leaderboard, outputs=leaderboard_output)
-        get_leaderboard()  # 초기화
+# Define the knowledge base and Saju/Myungri knowledge base
+knowledge_base = {
+    # Add knowledge base data here
+}
 
-    with gr.Tab("🗂 기록"):
-        data_display = gr.JSON(load_data())
+saju_myungri_knowledge = {
+    # Add Saju/Myungri knowledge base data here
+}
 
-# 실행
+# Initialize the Jain AI instance
+jain_ai = JainAI()
+jain_ai.knowledge_base = knowledge_base
+jain_ai.saju_myungri_knowledge = saju_myungri_knowledge
+
+# Launch the Gradio interface
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()