Update app.py

app.py

@@ -73,7 +73,7 @@ top_p_default = 0.95
 
 def backward_strategy_plan(specific_career, bg_info):
     prompt = f"""
-You are a professional career planning advisor.
+You are a professional career planning advisor,use english.
 A student has the target career: {specific_career}
 Their current background is: {bg_info}
 
@@ -122,7 +122,7 @@ def answer_abc_questions(selected, bg_info, wv, ps, dd):
         return "OK, you don't need ABC"
 
     prompt_text = f"""
-You are a professional career planning advisor. Below is the student's background information. Please provide detailed analysis and suggestions based on the selected module(s): A, B, or C.
+You are a professional career planning advisor. Below is the student's background information. Please provide detailed analysis and suggestions based on the selected module(s): A, B, or C,use english.
 
 Student Profile:
 - Academic Background: {bg_info}
@@ -186,7 +186,7 @@ Student Profile:
 - Personality: {ps}
 - Ideal Workday: {dd}
 
-Please write a detailed description of this career including at least the following:
+Please write a detailed description of this career including at least the following,use english:
 1. Average salary (entry-level / mid-level / senior)
 2. Work environment (remote/hybrid/in-office, team size, etc.)
 3. Promotion difficulty (what qualifications or milestones are needed)
@@ -236,7 +236,7 @@ Student Profile:
 - Personality: {ps}
 - Ideal Workday: {dd}
 
-Please create a timeline-style career roadmap based on the student's background and goal.
+Please create a timeline-style career roadmap based on the student's background and goal,use english.
 Use the following structure as a reference:
 
 📍 Summer after Year 2: [What internship to apply for, what activities to participate in, what certifications to pursue]
@@ -273,7 +273,7 @@ Please write the roadmap using Markdown formatting and tailor your suggestions s
 # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Recomend jpb ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 def recommend_3jobs_for_direction(direction, bg_info, wv, ps, dd):
     prompt = f"""
-You are a professional career advisor.
+You are a professional career advisor,use english.
 The student has selected the following general career direction: {direction}
 Student background: {bg_info}
 Work values: {wv}
@@ -347,7 +347,7 @@ def recommend_3directions():
     dd = user_profile["dream_day"] or "None"
 
     rec_prompt = f"""
-Based on the following information, write a structured student profile and recommend 3 general career directions.
+Based on the following information, write a structured student profile and recommend 3 general career directions, use english.
 Address the student as "you" (not he/she).
 
 - Academic Background: {bg_info}
@@ -397,18 +397,18 @@ If none are suitable, type 'change'.
     
         if len(dir_list) < 3:
             dir_list = [
-                "方向1", 
-                "方向2", 
-                "方向3"
+                "Direction 1", 
+                "Directionn2", 
+                "Direction 3"
             ]
             
-        user_profile["recommended_directions"] = dir_list[:3]  # 确保只取前3个
+        user_profile["recommended_directions"] = dir_list[:3] 
         return output_text
     except Exception as e:
         return f"Wrong direction: {str(e)}"
 
 
-# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 生成系统提示 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
 def generate_system_prompt():
     mode = user_profile["mode"]
     sc = user_profile["specific_career"]
@@ -420,7 +420,7 @@ def generate_system_prompt():
 
     if mode == "Y":
         return f"""
-You are a professional career advisor using the Backward Design method to help students achieve their career goals.
+You are a professional career advisor using the Backward Design method to help students achieve their career goals,use english.
 Target career: {sc}
 Background information: {bg}
 Please provide:
@@ -435,7 +435,7 @@ Finally, output a career roadmap in Markdown format like this:
 """
     else:
         return f"""
-You are a professional career advisor using the Forward Design method to help students explore suitable career paths.
+You are a professional career advisor using the Forward Design method to help students explore suitable career paths,use english.
 Student background: {bg}
 Work values: {wv}
 Personality summary: {ps}
@@ -537,60 +537,60 @@ def predict(message, history):
             forward_deep_dive_done = True
             post_career_detail_asked = True
 
-            return strategy + "\n\n我还可以针对以下三方面提供更深入的分析建议：" \
-                "\n- A：专业/选课 & 求职方向" \
-                "\n- B：本校资源利用建议" \
-                "\n- C：实习 & networking 积累" \
-                "\n如果你想查看其中一个或多个，请输入 A / B / C / AB / BC / AC / ABC" \
-                "\n如果都不需要，请回复'不需要'。"
+            return strategy + "\n\nI can do further exploration：" \
+                "\n- A：Major or course & Job direction" \
+                "\n- B：School Resources" \
+                "\n- C：Internship & networking " \
+                "\nEnter A / B / C / AB / BC / AC / ABC" \
+                "\nif No need'Please NO'。"
 
 
-    # 处理 A/B/C 答疑
+ 
     elif post_career_detail_asked and not post_career_detail_done:
         user_choice = message.strip().lower()
-        if user_choice in ["不需要", "no", "n"]:
+        if user_choice in ["Please NO", "no", "n"]:
             post_career_detail_done = True
             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】。"
+            return "OK, would you like a job path【I need】，or【NO need】。"
         else:
             abc_text = answer_abc_questions(
                 selected=user_choice,
                 bg_info=user_profile.get("bg_info", ""),
-                wv=user_profile.get("work_value", "未提供"),
-                ps=user_profile.get("personality_summary", "未提供"),
-                dd=user_profile.get("dream_day", "未提供")
+                wv=user_profile.get("work_value", "None"),
+                ps=user_profile.get("personality_summary", "None"),
+                dd=user_profile.get("dream_day", "None")
             )
             post_career_detail_done = True
             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】。"
+            return abc_text + "\n\nDo you need a time path plan？enter【I need】，or 【NO need】。"
 
-    # 路线图询问
+  
     elif job_chosen and not roadmap_offered and not roadmap_done:
         roadmap_offered = True
-        return "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】。"
+        return "Need a time path map?【I need】，or【NO need】。"
 
     elif roadmap_offered and not roadmap_done:
         ans = message.strip().lower()
-        if ans in ["要", "yes", "y"]:
+        if ans in ["I need", "yes", "y"]:
             roadmap_done = True
             backward_done = True
             return do_time_roadmap()
         else:
             roadmap_done = True
             backward_done = True
-            return "好的，不生成时间轴，本次规划结束。"
+            return "OK, your plan is finished"
+
 
-    # Backward 最终总结
     if backward_done:
         try:
             api_key = os.environ.get("API_TOKEN")
             if not api_key:
-                return "错误：API_TOKEN 未设置"
+                return "Wrong：API_TOKEN not set"
             client = OpenAI(api_key=api_key)
             sprompt = generate_system_prompt()
             msgs = [
                 {"role": "system", "content": sprompt},
-                {"role": "user", "content": f"以下是资料: {user_profile}. 若需要更多咨询可再次输入"}
+                {"role": "user", "content": f"this material: {user_profile}. enter if you need more"}
             ]
             resp = client.chat.completions.create(
                 model=model_default,
@@ -602,14 +602,14 @@ def predict(message, history):
             )
             return resp.choices[0].message.content
         except Exception as e:
-            return f"发生错误: {str(e)}"
+            return f"Wrong: {str(e)}"
+
 
 
-    # ~~~~~~~~~ Forward模式 ~~~~~~~~~
     else:
-        # 前期处理：收集信息和推荐大方向
+    
         if in_forward_flow and not direction_chosen:
-            # 收集 4个基础问题
+           
             if forward_index > 0 and forward_index <= len(forward_additional_questions):
                 prev_key = forward_additional_questions[forward_index - 1][0]
                 user_profile[prev_key] = message.strip()
@@ -619,12 +619,12 @@ def predict(message, history):
                 forward_index += 1
                 return prompt_text
 
-            # 问完 4个问题 -> 推荐3方向
+         
             elif not forward_recommendation_given:
                 forward_recommendation_given = True
                 return recommend_3directions()
 
-            # 等待用户选 1/2/3 or 换
+          
             else:
                 choice = message.strip().lower()
                 if choice in ["1","2","3"]:
@@ -633,7 +633,7 @@ def predict(message, history):
                         sel_dir = user_profile["recommended_directions"][idx]
                         user_profile["selected_direction"] = sel_dir
                         direction_chosen = True
-                        # 不在这里设置jobs_recommended=True，而是在函数内部设置
+                       
                         return recommend_3jobs_for_direction(
                             direction=sel_dir,
                             bg_info=user_profile["bg_info"] or "",
@@ -642,18 +642,18 @@ def predict(message, history):
                             dd=user_profile["dream_day"] or ""
                         )
                     else:
-                        return "无效选项，请重新输入1/2/3或'换'"
-                elif choice == "换":
+                        return "Enter 1/2/3或'Change'"
+                elif choice == "Change":
                     recommendation_round += 1
                     if recommendation_round > 2:
                         forward_done = True
-                        return "已多次换方向，结束推荐。"
+                        return "Change too many times"
                     else:
                         return recommend_3directions()
                 else:
-                    return "请回复1/2/3选择方向，或输入'换'来重新推荐"
+                    return "enter 1,2,3 or change"
 
-        # 已推荐具体职业 -> 等待用户选择
+     
         elif direction_chosen and jobs_recommended and not job_chosen:
             choice = message.strip().lower()
             if choice in ["1","2","3"]:
@@ -672,24 +672,24 @@ def predict(message, history):
                     )
                     forward_deep_dive_done = True
 
-                    # **询问 A/B/C 专项**
+                 
                     post_career_detail_asked = True
 
-                    return detail_msg + "\n\n我还可以针对以下三方面提供更深入的分析建议：" \
-                    "\n- A：专业/选课 & 求职方向" \
-                    "\n- B：本校资源利用建议" \
-                    "\n- C：实习 & networking 积累" \
-                    "\n如果你想查看其中一个或多个，请输入 A / B / C / AB / BC / AC / ABC" \
-                    "\n如果都不需要，请回复'不需要'。"
+                    return detail_msg + "\n\nI can do futher information for you：" \
+                    "\n- A：major course & job" \
+                    "\n- B：School Resources" \
+                    "\n- C：Internship & networking" \
+                    "\nneed more information A / B / C / AB / BC / AC / ABC" \
+                    "\nNO need，enter'No need'。"
                 else:
-                    return "无效的选项，请重新输入1/2/3或'换'"
-            elif choice == "换":
+                    return "Re enter please"
+            elif choice == "Change":
                 recommendation_round += 1
                 if recommendation_round > 2:
                     forward_done = True
-                    return "已多次换职业，结束推荐。"
+                    return "too many changes"
                 else:
-                    sel_dir = user_profile.get("selected_direction") or "未知方向"
+                    sel_dir = user_profile.get("selected_direction") or "No direction"
                     return recommend_3jobs_for_direction(
                         direction=sel_dir,
                         bg_info=user_profile["bg_info"] or "",
@@ -698,15 +698,15 @@ def predict(message, history):
                         dd=user_profile["dream_day"] or ""
                     )
             else:
-                return "请回复1/2/3选择具体职业，或输入'换'来重新推荐"
+                return "enter 1,2,3 or renture"
 
-        # 处理 A/B/C 答疑
+        
         elif post_career_detail_asked and not post_career_detail_done:
             user_choice = message.strip().lower()
-            if user_choice in ["不需要", "no", "n"]:
+            if user_choice in ["NO need", "no", "n"]:
                 post_career_detail_done = True
                 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】。"
+                return "OK, do you need a time plan, enter 【I need】，or【NO need】。"
             else:
                 abc_text = answer_abc_questions(
                     selected=user_choice,
@@ -717,35 +717,35 @@ def predict(message, history):
                 )
                 post_career_detail_done = True
                 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】。"
+                return abc_text + "\n\n this is your further information, do you need a time plan, enter【I need】, or【NO need】。"
 
         # 已选定具体职业 -> 问是否需要时间轴
         elif job_chosen and not roadmap_offered and not roadmap_done:
             roadmap_offered = True
-            return "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】。"
+            return "Need a time path plan enter【I need】，否则回复【NO need】。"
 
         elif roadmap_offered and not roadmap_done:
             ans = message.strip().lower()
-            if ans in ["要", "yes", "y"]:
+            if ans in ["I need", "yes", "y"]:
                 roadmap_done = True
                 forward_done = True
                 return do_time_roadmap()
             else:
                 roadmap_done = True
                 forward_done = True
-                return "好的，不生成时间轴，本次规划结束。"
+                return "OK, plan is finished"
 
-        # 如果 forward_done，就给个收尾
+    
         if forward_done:
             try:
                 api_key = os.environ.get("API_TOKEN")
                 if not api_key:
-                    return "错误：API_TOKEN 未设置"
+                    return "Wrong：API_TOKEN Not set"
                 client = OpenAI(api_key=api_key)
                 sprompt = generate_system_prompt()
                 msgs = [
                     {"role":"system","content":sprompt},
-                    {"role":"user","content": f"以下是资料: {user_profile}. 若需要更多咨询可再次输入"}
+                    {"role":"user","content": f"this is material: {user_profile}. enter to find more"}
                 ]
                 resp = client.chat.completions.create(
                     model=model_default,
@@ -757,7 +757,7 @@ def predict(message, history):
                 )
                 return resp.choices[0].message.content
             except Exception as e:
-                return f"发生错误: {str(e)}"
+                return f"Wrong: {str(e)}"
 
     
     return "Information down"