Update app.py

app.py

@@ -20,28 +20,24 @@ def gpt_call(history, user_message,
              temperature=0.7,
              top_p=0.95):
     """
-    OpenAI ChatCompletion API를 통해 답변을 생성하는 함수.
-    - history: [(user_text, assistant_text), ...]
-    - user_message: 사용자가 방금 입력한 메시지
+    OpenAI ChatCompletion API function.
     """
-    # 1) 시스템 메시지(=MAIN_PROMPT)를 가장 앞에 추가
+
+    # Ensure history is formatted correctly
     messages = [{"role": "system", "content": MAIN_PROMPT}]
-    
-    # 2) 기존 대화 기록(history)을 OpenAI 형식으로 변환
-    #    user_text -> 'user' / assistant_text -> 'assistant'
-   for exchange in history:
-    if isinstance(exchange, (list, tuple)) and len(exchange) == 2:
-        user_text, assistant_text = exchange
-        if isinstance(user_text, str) and user_text.strip():
-            messages.append({"role": "user", "content": user_text})
-        if isinstance(assistant_text, str) and assistant_text.strip():
-            messages.append({"role": "assistant", "content": assistant_text})
-
-
-    # 3) 마지막에 이번 사용자의 입력을 추가
+
+    for exchange in history:
+        if isinstance(exchange, (list, tuple)) and len(exchange) == 2:
+            user_text, assistant_text = exchange
+            if isinstance(user_text, str) and user_text.strip():
+                messages.append({"role": "user", "content": user_text})
+            if isinstance(assistant_text, str) and assistant_text.strip():
+                messages.append({"role": "assistant", "content": assistant_text})
+
+    # Add latest user input
     messages.append({"role": "user", "content": user_message})
 
-    # 4) OpenAI API 호출
+    # Call OpenAI API
     completion = client.chat.completions.create(
         model=model,
         messages=messages,
@@ -49,6 +45,7 @@ def gpt_call(history, user_message,
         temperature=temperature,
         top_p=top_p
     )
+
     return completion.choices[0].message.content
 
 def respond(user_message, history):