Update app.py

app.py

@@ -176,8 +176,7 @@ def respond_o3mini_qna(
     system_message: str,
     max_tokens: int,
     temperature: float,
-    top_p: float,
-    reasoning_effort: str  # 추가된 파라미터
+    top_p: float
 ):
     """
     o3-mini 모델을 이용해 한 번의 질문(question)에 대한 답변을 반환하는 함수.
@@ -195,8 +194,7 @@ def respond_o3mini_qna(
     
     try:
         response = openai.ChatCompletion.create(
-            model="o3-mini",
-            reasoning_effort=reasoning_effort,
+            model="o3-mini",  # o3-mini 모델 사용
             messages=messages,
             max_tokens=max_tokens,
             temperature=temperature,
@@ -315,7 +313,7 @@ with gr.Blocks() as demo:
     #################
     # o3-mini 탭
     #################
-    with gr.Tab("o1-mini"):
+    with gr.Tab("o3-mini"):
         o3mini_input1 = gr.Textbox(label="입력1", lines=1)
         o3mini_input2 = gr.Textbox(label="입력2", lines=1)
         o3mini_input3 = gr.Textbox(label="입력3", lines=1)
@@ -333,22 +331,20 @@ with gr.Blocks() as demo:
                 label="System Message",
                 lines=3
             )
-            o3mini_max_tokens = gr.Slider(minimum=100, maximum=4000, value=2000, step=100, label="Max Tokens")
-            o3mini_temperature = gr.Slider(minimum=0.1, maximum=2.0, value=0.7, step=0.05, label="Temperature")
-            o3mini_top_p = gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-P")
-            o3mini_reasoning_effort = gr.Radio(choices=["low", "medium", "high"], label="Reasoning Effort", value="medium")
+            o3mini_max_tokens = gr.Slider(minimum=100, maximum=4000, value=1500, step=100, label="Max Tokens")
+            o3mini_temperature = gr.Slider(minimum=0.1, maximum=2.0, value=0.8, step=0.05, label="Temperature")
+            o3mini_top_p = gr.Slider(minimum=0.1, maximum=1.0, value=0.9, step=0.05, label="Top-P")
 
         o3mini_submit_button = gr.Button("전송")
 
-        def merge_and_call_o3mini(i1, i2, i3, i4, i5, sys_msg, mt, temp, top_p_, reasoning_effort):
+        def merge_and_call_o3mini(i1, i2, i3, i4, i5, sys_msg, mt, temp, top_p_):
             question = " ".join([i1, i2, i3, i4, i5])
             return respond_o3mini_qna(
                 question=question,
                 system_message=sys_msg,
                 max_tokens=mt,
                 temperature=temp,
-                top_p=top_p_,
-                reasoning_effort=reasoning_effort
+                top_p=top_p_
             )
 
         o3mini_submit_button.click(
@@ -358,8 +354,7 @@ with gr.Blocks() as demo:
                 o3mini_system_message,
                 o3mini_max_tokens,
                 o3mini_temperature,
-                o3mini_top_p,
-                o3mini_reasoning_effort
+                o3mini_top_p
             ],
             outputs=o3mini_answer_output
         )