Update app.py

app.py

@@ -195,6 +195,43 @@ def describe_cognitive_state(state: Optional[Dict[str, int]]) -> str:
         return "mixed or uncertain cognitive state."
 
 
+# ---------- 语言检测（用于 Auto 模式） ----------
+def detect_language(message: str, preference: str) -> str:
+    """
+    preference:
+      - 'English' → 强制英文
+      - '中文' → 强制中文
+      - 'Auto' → 检测文本是否包含中文字符
+    """
+    if preference in ("English", "中文"):
+        return preference
+    # Auto 模式下简单检测是否含有中文字符
+    if re.search(r"[\u4e00-\u9fff]", message):
+        return "中文"
+    return "English"
+
+
+# ---------- Session 状态展示 ----------
+def render_session_status(
+    learning_mode: str,
+    weaknesses: Optional[List[str]],
+    cognitive_state: Optional[Dict[str, int]],
+) -> str:
+    lines: List[str] = []
+    lines.append("### Session status\n")
+    lines.append(f"- Learning mode: **{learning_mode}**")
+    lines.append(f"- Cognitive state: {describe_cognitive_state(cognitive_state)}")
+
+    if weaknesses:
+        lines.append("- Recent difficulties (last 3):")
+        for w in weaknesses[-3:]:
+            lines.append(f"  - {w}")
+    else:
+        lines.append("- Recent difficulties: *(none yet)*")
+
+    return "\n".join(lines)
+
+
 # ---------- Same Question Check helpers ----------
 def _normalize_text(text: str) -> str:
     """
@@ -708,9 +745,15 @@ with gr.Blocks(title="Clare – Hanbridge AI Teaching Assistant") as demo:
     def update_outline(file, doc_type_val):
         if file is None:
             return DEFAULT_COURSE_TOPICS
-        if doc_type_val == "Syllabus" and file.name.lower().endswith(".docx"):
-            topics = parse_syllabus_docx(file.name)
-            return topics
+        # Gradio File 默认传的是一个带 .name 的临时文件对象
+        if doc_type_val == "Syllabus":
+            try:
+                file_path = file.name  # 临时文件真实路径
+                if file_path.lower().endswith(".docx"):
+                    topics = parse_syllabus_docx(file_path)
+                    return topics
+            except Exception:
+                return DEFAULT_COURSE_TOPICS
         # 其他类型文件目前不解析，只保留默认大纲
         return DEFAULT_COURSE_TOPICS
 
@@ -720,10 +763,16 @@ with gr.Blocks(title="Clare – Hanbridge AI Teaching Assistant") as demo:
         outputs=[course_outline_state],
     )
 
-    chatbot = gr.Chatbot(
-        label="Clare Chat",
-        height=450,
-    )
+    with gr.Row():
+        chatbot = gr.Chatbot(
+            label="Clare Chat",
+            height=450,
+        )
+        session_status = gr.Markdown(
+            value=render_session_status("Concept Explainer", [], {"confusion": 0, "mastery": 0}),
+            label="Session status",
+        )
+
     user_input = gr.Textbox(
         label="Your question",
         placeholder="Ask Clare anything about your course, assignment, or study plan...",
@@ -760,6 +809,9 @@ with gr.Blocks(title="Clare – Hanbridge AI Teaching Assistant") as demo:
         learning_mode_val,
         doc_type_val,
     ):
+        # 先根据 Auto / English / 中文 决定本轮用什么语言
+        resolved_lang = detect_language(message, language_pref_val)
+
         # 先更新弱项和认知状态
         weaknesses = update_weaknesses_from_message(message, weaknesses or [])
         cognitive_state = update_cognitive_state_from_message(message, cognitive_state)
@@ -781,27 +833,31 @@ with gr.Blocks(title="Clare – Hanbridge AI Teaching Assistant") as demo:
                 "如果还有具体不清楚的地方，可以告诉我，我会换一种方式解释。\n\n"
                 "**之前的回答：**\n"
             )
-            if language_pref_val == "中文":
+            if resolved_lang == "中文":
                 answer = prefix_zh + past_a
             else:
                 answer = prefix_en + past_a
 
             new_history = chat_history + [(message, answer)]
-            return "", new_history, weaknesses, cognitive_state
+            status_text = render_session_status(learning_mode_val, weaknesses, cognitive_state)
+            # 清空输入框，更新 history / 弱项 / 认知状态 / 状态栏
+            return "", new_history, weaknesses, cognitive_state, status_text
 
         # ---------- 正常调用 Clare ----------
         answer, new_history = chat_with_clare(
             message=message,
             history=chat_history,
             model_name=model_name_val,
-            language_preference=language_pref_val,
+            language_preference=resolved_lang,
             learning_mode=learning_mode_val,
             doc_type=doc_type_val,
             course_outline=course_outline,
             weaknesses=weaknesses,
             cognitive_state=cognitive_state,
         )
-        return "", new_history, weaknesses, cognitive_state
+
+        status_text = render_session_status(learning_mode_val, weaknesses, cognitive_state)
+        return "", new_history, weaknesses, cognitive_state, status_text
 
     user_input.submit(
         respond,
@@ -816,17 +872,19 @@ with gr.Blocks(title="Clare – Hanbridge AI Teaching Assistant") as demo:
             learning_mode,
             doc_type,
         ],
-        [user_input, chatbot, weakness_state, cognitive_state_state],
+        [user_input, chatbot, weakness_state, cognitive_state_state, session_status],
     )
 
     # 清空对话 & 状态 & 导出/quiz/summary
     def clear_all():
-        return [], [], {"confusion": 0, "mastery": 0}, "", "", ""
+        empty_state = {"confusion": 0, "mastery": 0}
+        status_text = render_session_status("Concept Explainer", [], empty_state)
+        return [], [], empty_state, "", "", "", status_text
 
     clear_btn.click(
         clear_all,
         None,
-        [chatbot, weakness_state, cognitive_state_state, export_box, quiz_box, summary_box],
+        [chatbot, weakness_state, cognitive_state_state, export_box, quiz_box, summary_box, session_status],
         queue=False,
     )
 
@@ -909,4 +967,4 @@ with gr.Blocks(title="Clare – Hanbridge AI Teaching Assistant") as demo:
     )
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()