Update app.py

app.py

@@ -333,8 +333,8 @@ def format_references(
 
 def is_academic_query(message: str) -> bool:
     """
-    粗略判断：这次学生输入是否是“学术相关 / 课程相关”问题。
-    目的：避免像 "hi"、"thanks" 这种闲聊也去查 RAG + 打 reference。
+    判断当前学生输入是否是“学术/课程相关”问题。
+    目的：避免像 hi、thanks、who are you 这类寒暄或自我介绍请求也触发 RAG 和 reference。
     """
     if not message:
         return False
@@ -343,7 +343,10 @@ def is_academic_query(message: str) -> bool:
     if not m:
         return False
 
-    # 典型闲聊词
+    # 归一化一下空格
+    m = " ".join(m.split())
+
+    # 1) 典型闲聊词
     smalltalk_tokens = {
         "hi", "hello", "hey", "yo",
         "thanks", "thank", "thank you",
@@ -351,14 +354,33 @@ def is_academic_query(message: str) -> bool:
         "bye", "goodbye", "see you",
         "haha", "lol"
     }
-
     tokens = m.split()
 
     # 如果全是闲聊词而且没有问号 → 视为非学术问题
     if "?" not in m and all(t in smalltalk_tokens for t in tokens):
         return False
 
-    # 很短、又没有问号的输入，大概率也不是严肃学术问题
+    # 2) 典型「自我介绍 / 工具说明」类问题，也视为非学术问题
+    meta_phrases = [
+        "who are you",
+        "what are you",
+        "what is your name",
+        "introduce yourself",
+        "tell me about yourself",
+        "what can you do",
+        "how can you help",
+        "how do you help",
+        "how do i use",
+        "how to use this",
+        "what is this app",
+        "what is this tool",
+        "what is clare",
+        "who is clare"
+    ]
+    if any(p in m for p in meta_phrases):
+        return False
+
+    # 3) 很短、又没有问号的输入，大概率也不是严肃学术问题
     if len(tokens) <= 2 and "?" not in m:
         return False
 
@@ -369,9 +391,6 @@ def is_academic_query(message: str) -> bool:
 
 
 
-
-
-
 # ================== Gradio App ==================
 with gr.Blocks(
     title="Clare – Hanbridge AI Teaching Assistant", css=CUSTOM_CSS