edit : gr

app.py

@@ -255,47 +255,12 @@ def respond(
 # --------------------------------
 # 4) ChatInterface 구성
 # --------------------------------
-chatbot = gr.ChatInterface(
-    respond,
-    type="messages",
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"),
-        # --- 상태들 ---
-        gr.State(value=1),            # phase
-        gr.State(value=False),        # asked
-        gr.State(value=0),            # i1
-        gr.State(value=0),            # i2
-        gr.State(value=0),            # i3
-        gr.State(value=[]),           # gen_questions (list[str])
-        gr.State(value=[]),           # fixed_answers (list[str])
-        gr.State(value=[]),           # gen_answers (list[str])
-        gr.State(value=[]),           # rep_answers (list[str])
-    ],
-    # respond가 스트리밍으로 (assistant_text, 상태들...)을 yield 하므로,
-    # 아래 additional_outputs 순서/개수는 inputs와 정확히 일치해야 함
-    additional_outputs=[
-        gr.State(),  # phase
-        gr.State(),  # asked
-        gr.State(),  # i1
-        gr.State(),  # i2
-        gr.State(),  # i3
-        gr.State(),  # gen_questions
-        gr.State(),  # fixed_answers
-        gr.State(),  # gen_answers
-        gr.State(),  # rep_answers
-    ],
-)
 
-# --- (생략: 위의 모든 import/함수 정의/응답 로직 동일) ---
 
 with gr.Blocks() as demo:
     with gr.Sidebar():
-        # ✅ 이 버튼이 hf_token을 공급하도록 컴포넌트를 먼저 만들어 둡니다.
-        oauth = gr.LoginButton()  # gr.OAuthButton(...)을 쓰는 경우도 동일 포지션
-
+        # 로그인 버튼 유지 (hf_token은 현재 구현에서 사용하지 않지만 UI는 그대로 둠)
+        oauth = gr.LoginButton()
         gr.Markdown(
             "### 진행 순서\n"
             "1) 고정 10문항에 먼저 답하기\n"
@@ -303,24 +268,23 @@ with gr.Blocks() as demo:
             "3) 고정 10문항을 다시 한 번 답하기"
         )
 
-    # ✅ 상태 컴포넌트를 '하나만' 생성해 입력/출력에 재사용
-    phase        = gr.State(1)
-    asked        = gr.State(False)
-    i1           = gr.State(0)
-    i2           = gr.State(0)
-    i3           = gr.State(0)
-    gen_questions= gr.State([])
-    fixed_answers= gr.State([])
-    gen_answers  = gr.State([])
-    rep_answers  = gr.State([])
+phase        = gr.State(1)
+asked        = gr.State(False)
+i1           = gr.State(0)
+i2           = gr.State(0)
+i3           = gr.State(0)
+gen_questions= gr.State([])
+fixed_answers= gr.State([])
+gen_answers  = gr.State([])
+rep_answers  = gr.State([])
 
-    # system/max_tokens/temperature/top_p 입력 컴포넌트도 블록 안에서 만들고 넘깁니다
-    sys_msg   = gr.Textbox(value="You are a friendly Chatbot.", label="System message")
-    max_toks  = gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens")
-    temp      = gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature")
-    top_p     = gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)")
+# system/max_tokens/temperature/top_p 입력 컴포넌트도 블록 안에서 만들고 넘깁니다
+sys_msg   = gr.Textbox(value="You are a friendly Chatbot.", label="System message")
+max_toks  = gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens")
+temp      = gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature")
+top_p     = gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)")
 
-    chatbot = gr.ChatInterface(
+chatbot = gr.ChatInterface(
         respond,
         type="messages",
         # ✅ 파라미터 순서: system_message, max_tokens, temperature, top_p, hf_token, (states…)
@@ -336,9 +300,7 @@ with gr.Blocks() as demo:
             gen_questions, fixed_answers, gen_answers, rep_answers,
         ],
     )
-
-    chatbot.render()
+chatbot.render()
 
 if __name__ == "__main__":
     demo.launch()
-