Update app.py

app.py

@@ -835,15 +835,17 @@ footer {
     send = gr.Button("发送 🚀", elem_id="custom-send")
     reset = gr.Button("🔄 重新开始")
 
+    # 用户输入后将其加入历史
     def add_user_message(m, hist):
         hist = hist or []
-        hist.append({"role":"user","content":m})
+        hist.append({"role": "user", "content": m})
         return "", hist
 
+    # 自动调用主逻辑函数
     def add_bot_response(hist):
         user_msg = hist[-1]["content"]
         bot_msg = predict(user_msg, hist[:-1])
-        hist.append({"role":"assistant","content":bot_msg})
+        hist.append({"role": "assistant", "content": bot_msg})
         return hist
 
     send.click(add_user_message, [msg, chatbot], [msg, chatbot]) \
@@ -852,6 +854,7 @@ footer {
     msg.submit(add_user_message, [msg, chatbot], [msg, chatbot]) \
        .then(add_bot_response, chatbot, chatbot)
 
+    # 重置状态逻辑
     def reset_state():
         global current_q_index, questions
         global in_forward_flow, in_backward_flow
@@ -861,7 +864,6 @@ footer {
         global recommendation_round
         global forward_deep_dive_done
         global roadmap_offered, roadmap_done
-
         global direction_chosen, jobs_recommended, job_chosen
         global post_career_detail_asked, post_career_detail_done
 
@@ -892,8 +894,9 @@ footer {
 
     reset.click(reset_state, outputs=chatbot)
 
+    # 首次加载时自动触发欢迎提问
     def auto_first():
-        return [{"role":"assistant","content": questions[0][1]}]
+        return [{"role": "assistant", "content": questions[0][1]}]
 
     demo.load(auto_first, outputs=chatbot)
-    demo.launch()  
+    demo.launch()