Update app.py

app.py

@@ -61,14 +61,14 @@ job_chosen = False          # 是否选定了具体职业
 post_career_detail_asked = False  # 是否已询问用户要看A/B/C
 post_career_detail_done = False   # 是否已回答完A/B/C
 
-
 # ============================ 模型设置 ============================
 model_default = "gpt-4o"
 token_default = 2000
 temp_default = 0.7
 top_p_default = 0.95
 
-# ~~~~~~~~~~~~~~~~~~~~~~~ 新增函数：answer_abc_questions ~~~~~~~~~~~~~~~~~~~~~~~
+
+# ~~~~~~~~~~~~~~~~~~~~~~~ 函数：answer_abc_questions ~~~~~~~~~~~~~~~~~~~~~~~
 def answer_abc_questions(selected, bg_info, wv, ps, dd):
     """
     根据用户选择 A/B/C/AB/ABC 等，返回相应的额外建议内容。
@@ -387,6 +387,7 @@ def generate_system_prompt():
 
 # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 主逻辑函数 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 def predict(message, history):
+    # ========== 必须在函数最开头声明全局变量 ==========
     global current_q_index, questions
     global in_forward_flow, in_backward_flow
     global forward_index, backward_index
@@ -398,7 +399,6 @@ def predict(message, history):
 
     global direction_chosen, jobs_recommended, job_chosen
 
-    # 新增全局标记
     global post_career_detail_asked, post_career_detail_done
 
     # ======================== 初始化 =========================
@@ -424,7 +424,7 @@ def predict(message, history):
         jobs_recommended = False
         job_chosen = False
 
-        # 新增标记重置
+        # 重置 ABC 标记
         post_career_detail_asked = False
         post_career_detail_done = False
 
@@ -557,8 +557,7 @@ def predict(message, history):
                     )
                     forward_deep_dive_done = True
 
-                    # 关键：现在我们“询问 A/B/C” -> 设置 post_career_detail_asked = True
-                    global post_career_detail_asked
+                    # 关键：现在我们“询问 A/B/C”
                     post_career_detail_asked = True
 
                     return detail_msg + "\n\n我还可以针对以下三方面提供建议：\n" \
@@ -567,6 +566,7 @@ def predict(message, history):
                                         "C：实习 & networking 积累\n" \
                                         "如需要其中一个或多个，请输入 A / B / C / AB / BC / AC / ABC\n" \
                                         "如果都不需要，请回复“不需要”。"
+
                 else:
                     return "无效的选项，请重新输入1/2/3或'换'"
             elif choice == "换":
@@ -591,11 +591,9 @@ def predict(message, history):
             user_choice = message.strip().lower()
             if user_choice in ["不需要", "no", "n"]:
                 post_career_detail_done = True
-                # 接下来问时间轴
                 roadmap_offered = True
                 return "好的，不查看这三个专项。那需要一个时间轴式职业路线图吗？如需，则回复【要】，否则回复【不要】。"
             else:
-                # 调用 answer_abc_questions
                 abc_text = answer_abc_questions(
                     selected=user_choice,
                     bg_info=user_profile["bg_info"],
@@ -604,7 +602,6 @@ def predict(message, history):
                     dd=user_profile["dream_day"]
                 )
                 post_career_detail_done = True
-                # 问时间轴
                 roadmap_offered = True
                 return abc_text + "\n\n以上是你所选的A/B/C专项信息。需要一个时间轴式职业路线图吗？如需，则回复【要】，否则回复【不要】。"
 
@@ -743,7 +740,6 @@ footer {
 
         global direction_chosen, jobs_recommended, job_chosen
 
-        # 新增
         global post_career_detail_asked, post_career_detail_done
 
         current_q_index = 0