Update app.py

app.py

@@ -8,7 +8,8 @@ from huggingface_hub import HfApi, hf_hub_download
 
 # Load Env
 load_dotenv()
-SAVE_FILE = os.getenv("SAVE_FILE_NAME", "saved_companies.json")
+PROF_SAVE_FILE = "saved_professors.json"
+COMP_SAVE_FILE = "saved_companies.json"
 HF_TOKEN = os.getenv("HF_TOKEN")
 DATASET_REPO_ID = os.getenv("DATASET_REPO_ID")
 
@@ -19,438 +20,400 @@ except Exception as e:
     print(f"Service Error: {e}")
     gemini_service = None
 
-# --- Helper Functions ---
+# --- Shared Helper Functions ---
 
-def get_key(c):
-    return f"{c['name']}"
-
-def load_data():
+def load_data(filename):
     data = []
-    # 1. 嘗試從雲端下載
     if HF_TOKEN and DATASET_REPO_ID:
         try:
-            print(f"正在同步雲端資料: {DATASET_REPO_ID}...")
-            hf_hub_download(
-                repo_id=DATASET_REPO_ID,
-                filename=SAVE_FILE,
-                repo_type="dataset",
-                token=HF_TOKEN,
-                local_dir="." # 覆蓋本地檔案
-            )
-            print("雲端同步完成。")
-        except Exception as e:
-            print(f"雲端同步略過 (初次啟動或無權限): {e}")
-
-    # 2. 讀取檔案
-    if os.path.exists(SAVE_FILE):
+            hf_hub_download(repo_id=DATASET_REPO_ID, filename=filename, repo_type="dataset", token=HF_TOKEN, local_dir=".")
+        except: pass
+    if os.path.exists(filename):
         try:
-            with open(SAVE_FILE, 'r', encoding='utf-8') as f:
-                data = json.load(f)
-        except:
-            data = []
+            with open(filename, 'r', encoding='utf-8') as f: data = json.load(f)
+        except: data = []
     return data
 
-def save_data(data):
-    # 1. 存本地
+def save_data(data, filename):
     try:
-        with open(SAVE_FILE, 'w', encoding='utf-8') as f:
-            json.dump(data, f, ensure_ascii=False, indent=2)
-    except Exception as e:
-        print(f"Save Error: {e}")
-        return
-
-    # 2. 上傳雲端
+        with open(filename, 'w', encoding='utf-8') as f: json.dump(data, f, ensure_ascii=False, indent=2)
+    except: return
     if HF_TOKEN and DATASET_REPO_ID:
         try:
             api = HfApi(token=HF_TOKEN)
-            api.upload_file(
-                path_or_fileobj=SAVE_FILE,
-                path_in_repo=SAVE_FILE,
-                repo_id=DATASET_REPO_ID,
-                repo_type="dataset",
-                commit_message="Sync company data"
-            )
-        except Exception as e:
-            print(f"Upload Error: {e}")
-
-def format_df(source_list, saved_list):
-    if not source_list:
-        return pd.DataFrame(columns=["狀態", "公司名稱", "產業類別", "標籤"])
-    
-    if saved_list is None:
-        saved_list = []
-    
-    saved_map = {get_key(c): c for c in saved_list}
-    
-    data = []
-    for c in source_list:
-        display_c = saved_map.get(get_key(c), c)
-        
-        status_map = {'good': '✅ 優質', 'risk': '⚠️ 風險', 'pending': '❓ 未定'}
-        status_icon = status_map.get(display_c.get('status'), '')
-        has_detail = "📄" if display_c.get('details') else ""
-        
-        tags = ", ".join(display_c.get('tags', []))
-        
-        data.append([
-            f"{status_icon} {has_detail}",
-            display_c['name'],
-            display_c.get('industry', '未知'),
-            tags
-        ])
-    return pd.DataFrame(data, columns=["狀態", "公司名稱", "產業類別", "標籤"])
+            api.upload_file(path_or_fileobj=filename, path_in_repo=filename, repo_id=DATASET_REPO_ID, repo_type="dataset", commit_message=f"Sync {filename}")
+        except: pass
+
+def get_tags_text(item):
+    if not item or not item.get('tags'): return "目前標籤: (無)"
+    return "🏷️ " + ", ".join([f"`{t}`" for t in item['tags']])
 
-def get_tags_text(comp):
-    if not comp or not comp.get('tags'):
-        return "目前標籤: (無)"
-    return "🏷️ " + ", ".join([f"`{t}`" for t in comp['tags']])
+def get_tags_choices(item):
+    return item.get('tags', []) if item else []
 
-def get_tags_choices(comp):
-    if not comp: return []
-    return comp.get('tags', [])
+# --- 🎓 Professor Logic ---
 
-# --- Event Handlers ---
+def prof_get_key(p): return f"{p['name']}-{p['university']}"
 
-def search_companies(query, current_saved):
+def prof_format_df(source_list, saved_list):
+    if not source_list: return pd.DataFrame(columns=["狀態", "姓名", "大學", "系所", "標籤"])
+    if saved_list is None: saved_list = []
+    saved_map = {prof_get_key(p): p for p in saved_list}
+    data = []
+    for p in source_list:
+        dp = saved_map.get(prof_get_key(p), p)
+        icon = {'match':'✅','mismatch':'❌','pending':'❓'}.get(dp.get('status'), '')
+        detail = "📄" if dp.get('details') else ""
+        data.append([f"{icon} {detail}", dp['name'], dp['university'], dp['department'], ", ".join(dp.get('tags', []))])
+    return pd.DataFrame(data, columns=["狀態", "姓名", "大學", "系所", "標籤"])
+
+def prof_search(query, current_saved):
     if not query: return gr.update(), current_saved, gr.update()
-    
     try:
-        results = gemini_service.search_companies(query)
-        return format_df(results, current_saved), results, gr.update(visible=True)
-    except Exception as e:
-        raise gr.Error(f"搜尋失敗: {e}")
+        res = gemini_service.search_professors(query)
+        return prof_format_df(res, current_saved), res, gr.update(visible=True)
+    except Exception as e: raise gr.Error(f"搜尋失敗: {e}")
 
-def load_more(query, current_results, current_saved):
-    if not query: return gr.update(), current_results
-    
-    current_names = [c['name'] for c in current_results]
+def prof_load_more(query, cur_res, cur_saved):
+    if not query: return gr.update(), cur_res
     try:
-        new_results = gemini_service.search_companies(query, exclude_names=current_names)
-        
-        existing_keys = set(get_key(c) for c in current_results)
-        for c in new_results:
-            if get_key(c) not in existing_keys:
-                current_results.append(c)
-                
-        return format_df(current_results, current_saved), current_results
-    except Exception as e:
-        raise gr.Error(f"載入失敗: {e}")
-
-def select_company(evt: gr.SelectData, search_results, saved_data, view_mode):
-    if not evt: return [gr.update()] * 8
-    index = evt.index[0]
-    
-    target_list = saved_data if view_mode == "追蹤清單" else search_results
-    if not target_list or index >= len(target_list): 
-        return gr.update(), gr.update(), gr.update(), None, None, gr.update(), gr.update(), gr.update()
-    
-    comp = target_list[index]
-    
-    key = get_key(comp)
-    saved_comp = next((c for c in saved_data if get_key(c) == key), None)
-    current_comp = saved_comp if saved_comp else comp
-    
-    details_md = ""
-    
-    # Check Cache
-    if current_comp.get('details') and len(current_comp.get('details')) > 10:
-        details_md = current_comp['details']
-        if not saved_comp: 
-            saved_data.insert(0, current_comp)
-            save_data(saved_data)
+        new_res = gemini_service.search_professors(query, exclude_names=[p['name'] for p in cur_res])
+        exist_keys = set(prof_get_key(p) for p in cur_res)
+        for p in new_res:
+            if prof_get_key(p) not in exist_keys: cur_res.append(p)
+        return prof_format_df(cur_res, cur_saved), cur_res
+    except Exception as e: raise gr.Error(f"載入失敗: {e}")
+
+def prof_select(evt: gr.SelectData, search_res, saved_data, view_mode):
+    if not evt: return [gr.update()]*8
+    idx = evt.index[0]
+    target = saved_data if view_mode == "追蹤清單" else search_res
+    if not target or idx >= len(target): return [gr.update()]*8
+    
+    p = target[idx]
+    key = prof_get_key(p)
+    saved_p = next((x for x in saved_data if prof_get_key(x) == key), None)
+    curr = saved_p if saved_p else p
+    
+    md = ""
+    if curr.get('details') and len(curr.get('details')) > 10:
+        md = curr['details']
+        if not saved_p: saved_data.insert(0, curr); save_data(saved_data, PROF_SAVE_FILE)
     else:
-        # Call API
-        gr.Info(f"正在調查 {current_comp['name']} (查詢統編、PTT評價)...")
+        gr.Info(f"正在調查 {curr['name']}...")
         try:
-            res = gemini_service.get_company_details(current_comp)
-            current_comp['details'] = res['text']
-            current_comp['sources'] = res['sources']
-            details_md = res['text']
-            
-            if saved_comp:
-                saved_comp.update(current_comp)
-            else:
-                saved_data.insert(0, current_comp)
-            save_data(saved_data)
-        except Exception as e:
-            raise gr.Error(f"調查失敗: {e}")
-
-    if current_comp.get('sources'):
-        details_md += "\n\n### 📚 資料來源\n"
-        for s in current_comp['sources']:
-            details_md += f"- [{s['title']}]({s['uri']})\n"
-
-    return (
-        gr.update(visible=True),    
-        details_md,                 
-        [],                         
-        current_comp,               
-        saved_data,                 
-        get_tags_text(current_comp),           
-        gr.update(choices=get_tags_choices(current_comp), value=None), 
-        gr.update(visible=True)     
-    )
-
-def add_tag(new_tag, selected_comp, saved_data, view_mode, search_results):
-    if not selected_comp or not new_tag: 
-        return gr.update(), gr.update(), gr.update(), saved_data, gr.update()
-
-    if 'tags' not in selected_comp: selected_comp['tags'] = []
-    
-    if new_tag not in selected_comp['tags']:
-        selected_comp['tags'].append(new_tag)
-        
-        key = get_key(selected_comp)
+            res = gemini_service.get_professor_details(curr)
+            curr['details'] = res['text']; curr['sources'] = res['sources']
+            md = res['text']
+            if saved_p: saved_p.update(curr)
+            else: saved_data.insert(0, curr)
+            save_data(saved_data, PROF_SAVE_FILE)
+        except Exception as e: raise gr.Error(f"調查失敗: {e}")
+    
+    if curr.get('sources'): md += "\n\n### 📚 參考來源\n" + "\n".join([f"- [{s['title']}]({s['uri']})" for s in curr['sources']])
+    return gr.update(visible=True), md, [], curr, saved_data, get_tags_text(curr), gr.update(choices=get_tags_choices(curr), value=None), gr.update(visible=True)
+
+def prof_chat(hist, msg, curr):
+    if not curr: return hist, ""
+    try:
+        reply = gemini_service.chat_with_ai(
+            [{"role":"user","content":h[0]} for h in hist if h[0]] + ([{"role":"model","content":h[1]} for h in hist if h[1]]),
+            msg, curr.get('details', ''), "你是學術顧問，請根據這份教授資料回答"
+        )
+        hist.append((msg, reply))
+    except Exception as e: hist.append((msg, f"Error: {e}"))
+    return hist, ""
+
+def prof_add_tag(tag, curr, saved, mode, res):
+    if not curr or not tag: return gr.update(), gr.update(), gr.update(), saved, gr.update()
+    if 'tags' not in curr: curr['tags'] = []
+    if tag not in curr['tags']:
+        curr['tags'].append(tag)
+        key = prof_get_key(curr)
         found = False
-        for i, c in enumerate(saved_data):
-            if get_key(c) == key:
-                saved_data[i] = selected_comp
-                found = True
-                break
-        if not found:
-            saved_data.insert(0, selected_comp)
-        
-        save_data(saved_data)
-        gr.Info(f"已新增標籤: {new_tag}")
-    
-    target_list = saved_data if view_mode == "追蹤清單" else search_results
-    new_df = format_df(target_list, saved_data)
-
-    return (
-        gr.update(value=""), 
-        get_tags_text(selected_comp),
-        gr.update(choices=selected_comp['tags']),
-        saved_data,
-        new_df
-    )
-
-def remove_tag(tag_to_remove, selected_comp, saved_data, view_mode, search_results):
-    if not selected_comp or not tag_to_remove: 
-        return gr.update(), gr.update(), saved_data, gr.update()
-    
-    if 'tags' in selected_comp and tag_to_remove in selected_comp['tags']:
-        selected_comp['tags'].remove(tag_to_remove)
-        
-        key = get_key(selected_comp)
-        for i, c in enumerate(saved_data):
-            if get_key(c) == key:
-                saved_data[i] = selected_comp
-                break
-        save_data(saved_data)
-        gr.Info(f"已移除標籤: {tag_to_remove}")
-
-    target_list = saved_data if view_mode == "追蹤清單" else search_results
-    new_df = format_df(target_list, saved_data)
-    
-    return (
-        get_tags_text(selected_comp),
-        gr.update(choices=selected_comp['tags'], value=None),
-        saved_data,
-        new_df
-    )
-
-def chat_response(history, message, selected_comp):
-    if not selected_comp: return history, ""
-    context = selected_comp.get('details', '')
-    if not context: return history, ""
-    
-    service_history = []
-    for h in history:
-        service_history.append({"role": "user", "content": h[0]})
-        if h[1]: service_history.append({"role": "model", "content": h[1]})
-            
+        for i, p in enumerate(saved):
+            if prof_get_key(p) == key: saved[i] = curr; found=True; break
+        if not found: saved.insert(0, curr)
+        save_data(saved, PROF_SAVE_FILE)
+    return gr.update(value=""), get_tags_text(curr), gr.update(choices=curr['tags']), saved, prof_format_df(saved if mode=="追蹤清單" else res, saved)
+
+def prof_remove_tag(tag, curr, saved, mode, res):
+    if not curr or not tag: return gr.update(), gr.update(), saved, gr.update()
+    if 'tags' in curr and tag in curr['tags']:
+        curr['tags'].remove(tag)
+        key = prof_get_key(curr)
+        for i, p in enumerate(saved):
+            if prof_get_key(p) == key: saved[i] = curr; break
+        save_data(saved, PROF_SAVE_FILE)
+    return get_tags_text(curr), gr.update(choices=curr['tags'], value=None), saved, prof_format_df(saved if mode=="追蹤清單" else res, saved)
+
+def prof_update_status(stat, curr, saved, mode, res):
+    if not curr: return gr.update(), saved
+    curr['status'] = stat if curr.get('status') != stat else None
+    key = prof_get_key(curr)
+    for i, p in enumerate(saved):
+        if prof_get_key(p) == key: saved[i] = curr; break
+    save_data(saved, PROF_SAVE_FILE)
+    return prof_format_df(saved if mode=="追蹤清單" else res, saved), saved
+
+def prof_remove(curr, saved, mode, res):
+    if not curr: return gr.update(), gr.update(value=None), saved, gr.update(visible=False)
+    key = prof_get_key(curr)
+    new_saved = [p for p in saved if prof_get_key(p) != key]
+    save_data(new_saved, PROF_SAVE_FILE)
+    return gr.Info("已移除"), prof_format_df(new_saved if mode=="追蹤清單" else res, new_saved), new_saved, gr.update(visible=False)
+
+def prof_toggle(mode, res, saved):
+    return prof_format_df(res if mode=="搜尋結果" else saved, saved), gr.update(visible=mode=="搜尋結果")
+
+# --- 🏢 Company Logic ---
+
+def comp_get_key(c): return f"{c['name']}"
+
+def comp_format_df(source_list, saved_list):
+    if not source_list: return pd.DataFrame(columns=["狀態", "公司名稱", "產業類別", "標籤"])
+    if saved_list is None: saved_list = []
+    saved_map = {comp_get_key(c): c for c in saved_list}
+    data = []
+    for c in source_list:
+        dc = saved_map.get(comp_get_key(c), c)
+        icon = {'good':'✅','risk':'⚠️','pending':'❓'}.get(dc.get('status'), '')
+        detail = "📄" if dc.get('details') else ""
+        data.append([f"{icon} {detail}", dc['name'], dc.get('industry','未知'), ", ".join(dc.get('tags', []))])
+    return pd.DataFrame(data, columns=["狀態", "公司名稱", "產業類別", "標籤"])
+
+def comp_search(query, current_saved):
+    if not query: return gr.update(), current_saved, gr.update()
     try:
-        reply = gemini_service.chat_with_ai(service_history, message, context)
-        history.append((message, reply))
-    except Exception as e:
-        history.append((message, f"Error: {e}"))
-    return history, ""
-
-def update_status(status, selected_comp, saved_data, view_mode, search_results):
-    if not selected_comp: return gr.update(), saved_data
-    
-    selected_comp['status'] = status if selected_comp.get('status') != status else None
-    
-    key = get_key(selected_comp)
-    for i, c in enumerate(saved_data):
-        if get_key(c) == key:
-            saved_data[i] = selected_comp
-            break
-    save_data(saved_data)
-    
-    target_list = saved_data if view_mode == "追蹤清單" else search_results
-    return format_df(target_list, saved_data), saved_data
+        res = gemini_service.search_companies(query)
+        return comp_format_df(res, current_saved), res, gr.update(visible=True)
+    except Exception as e: raise gr.Error(f"搜尋失敗: {e}")
 
-def remove_comp(selected_comp, saved_data, view_mode, search_results):
-    if not selected_comp: return gr.update(), gr.update(value=None), saved_data, gr.update(visible=False)
-    
-    key = get_key(selected_comp)
-    new_saved = [c for c in saved_data if get_key(c) != key]
-    save_data(new_saved)
-    
-    target_list = new_saved if view_mode == "追蹤清單" else search_results
-    
-    return (
-        gr.Info("已移除"), 
-        format_df(target_list, new_saved),
-        new_saved, 
-        gr.update(visible=False)
-    )
-
-def toggle_view(mode, search_res, saved_data):
-    if mode == "搜尋結果":
-        return format_df(search_res, saved_data), gr.update(visible=True)
+def comp_load_more(query, cur_res, cur_saved):
+    if not query: return gr.update(), cur_res
+    try:
+        new_res = gemini_service.search_companies(query, exclude_names=[c['name'] for c in cur_res])
+        exist_keys = set(comp_get_key(c) for c in cur_res)
+        for c in new_res:
+            if comp_get_key(c) not in exist_keys: cur_res.append(c)
+        return comp_format_df(cur_res, cur_saved), cur_res
+    except Exception as e: raise gr.Error(f"載入失敗: {e}")
+
+def comp_select(evt: gr.SelectData, search_res, saved_data, view_mode):
+    if not evt: return [gr.update()]*8
+    idx = evt.index[0]
+    target = saved_data if view_mode == "追蹤清單" else search_res
+    if not target or idx >= len(target): return [gr.update()]*8
+    
+    c = target[idx]
+    key = comp_get_key(c)
+    saved_c = next((x for x in saved_data if comp_get_key(x) == key), None)
+    curr = saved_c if saved_c else c
+    
+    md = ""
+    if curr.get('details') and len(curr.get('details')) > 10:
+        md = curr['details']
+        if not saved_c: saved_data.insert(0, curr); save_data(saved_data, COMP_SAVE_FILE)
     else:
-        return format_df(saved_data, saved_data), gr.update(visible=False)
-
-def init_on_load():
-    data = load_data()
-    return data, format_df(data, data)
+        gr.Info(f"正在調查 {curr['name']}...")
+        try:
+            res = gemini_service.get_company_details(curr)
+            curr['details'] = res['text']; curr['sources'] = res['sources']
+            md = res['text']
+            if saved_c: saved_c.update(curr)
+            else: saved_data.insert(0, curr)
+            save_data(saved_data, COMP_SAVE_FILE)
+        except Exception as e: raise gr.Error(f"調查失敗: {e}")
+    
+    if curr.get('sources'): md += "\n\n### 📚 資料來源\n" + "\n".join([f"- [{s['title']}]({s['uri']})" for s in curr['sources']])
+    return gr.update(visible=True), md, [], curr, saved_data, get_tags_text(curr), gr.update(choices=get_tags_choices(curr), value=None), gr.update(visible=True)
+
+def comp_chat(hist, msg, curr):
+    if not curr: return hist, ""
+    try:
+        reply = gemini_service.chat_with_ai(
+            [{"role":"user","content":h[0]} for h in hist if h[0]] + ([{"role":"model","content":h[1]} for h in hist if h[1]]),
+            msg, curr.get('details', ''), "你是商業顧問，請根據這份公司調查報告回答"
+        )
+        hist.append((msg, reply))
+    except Exception as e: hist.append((msg, f"Error: {e}"))
+    return hist, ""
+
+def comp_add_tag(tag, curr, saved, mode, res):
+    if not curr or not tag: return gr.update(), gr.update(), gr.update(), saved, gr.update()
+    if 'tags' not in curr: curr['tags'] = []
+    if tag not in curr['tags']:
+        curr['tags'].append(tag)
+        key = comp_get_key(curr)
+        found = False
+        for i, c in enumerate(saved):
+            if comp_get_key(c) == key: saved[i] = curr; found=True; break
+        if not found: saved.insert(0, curr)
+        save_data(saved, COMP_SAVE_FILE)
+    return gr.update(value=""), get_tags_text(curr), gr.update(choices=curr['tags']), saved, comp_format_df(saved if mode=="追蹤清單" else res, saved)
+
+def comp_remove_tag(tag, curr, saved, mode, res):
+    if not curr or not tag: return gr.update(), gr.update(), saved, gr.update()
+    if 'tags' in curr and tag in curr['tags']:
+        curr['tags'].remove(tag)
+        key = comp_get_key(curr)
+        for i, c in enumerate(saved):
+            if comp_get_key(c) == key: saved[i] = curr; break
+        save_data(saved, COMP_SAVE_FILE)
+    return get_tags_text(curr), gr.update(choices=curr['tags'], value=None), saved, comp_format_df(saved if mode=="追蹤清單" else res, saved)
+
+def comp_update_status(stat, curr, saved, mode, res):
+    if not curr: return gr.update(), saved
+    curr['status'] = stat if curr.get('status') != stat else None
+    key = comp_get_key(curr)
+    for i, c in enumerate(saved):
+        if comp_get_key(c) == key: saved[i] = curr; break
+    save_data(saved, COMP_SAVE_FILE)
+    return comp_format_df(saved if mode=="追蹤清單" else res, saved), saved
+
+def comp_remove(curr, saved, mode, res):
+    if not curr: return gr.update(), gr.update(value=None), saved, gr.update(visible=False)
+    key = comp_get_key(curr)
+    new_saved = [c for c in saved if comp_get_key(c) != key]
+    save_data(new_saved, COMP_SAVE_FILE)
+    return gr.Info("已移除"), comp_format_df(new_saved if mode=="追蹤清單" else res, new_saved), new_saved, gr.update(visible=False)
+
+def comp_toggle(mode, res, saved):
+    return comp_format_df(res if mode=="搜尋結果" else saved, saved), gr.update(visible=mode=="搜尋結果")
+
+# --- Initialize ---
+def prof_init(): d = load_data(PROF_SAVE_FILE); return d, prof_format_df(d, d)
+def comp_init(): d = load_data(COMP_SAVE_FILE); return d, comp_format_df(d, d)
 
 # --- UI Layout ---
 
-with gr.Blocks(title="Com.404 公司去那兒？", theme=gr.themes.Soft()) as demo:
+with gr.Blocks(title="404 產學導航系統", theme=gr.themes.Soft()) as demo:
     
-    saved_state = gr.State([])
-    search_res_state = gr.State([])
-    selected_comp_state = gr.State(None)
-
     gr.Markdown("""
     <div align="center">
     
-    # 🏢 Com.404 - 公司去那兒？
+    # 🚀 404 產學導航 (Prof.404 + Com.404)
     
-    [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/DeepLearning101/Com.404)
+    [![Hugging Face](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/DeepLearning101/Prof.404)
     [![GitHub](https://img.shields.io/badge/GitHub-Repo-black)](https://github.com/Deep-Learning-101/prof-404) 
     [![Powered by](https://img.shields.io/badge/Powered%20by-Gemini%202.0%20Flash-4285F4?logo=google)](https://deepmind.google/technologies/gemini/)
     
-    **產業導航、公司徵信、AI 諮詢，拒絕當求職與合作的無頭蒼蠅 🪰**
-    <span style="font-size: 0.9em; color: gray;">(支援雲端同步！Space 重啟資料不遺失 🔄 | API KEY RPD，建議自行 Fork)</span>
-    
-    👉 歡迎 Star [GitHub](https://github.com/Deep-Learning-101/prof-404) ⭐ 覺得不錯 👈
-    <h3>🧠 補腦專區：<a href="https://deep-learning-101.github.io/" target="_blank">Deep Learning 101</a></h3>
-    
-    | 🔥 技術傳送門 (Tech Stack) | 📚 必讀心法 (Must Read) |
-    | :--- | :--- |
-    | 🤖 [**大語言模型 (LLM)**](https://deep-learning-101.github.io/Large-Language-Model) | 🏹 [**策略篇：企業入門策略**](https://deep-learning-101.github.io/Blog/AIBeginner) |
-    | 📝 [**自然語言處理 (NLP)**](https://deep-learning-101.github.io/Natural-Language-Processing) | 📊 [**評測篇：臺灣 LLM 分析**](https://deep-learning-101.github.io/Blog/TW-LLM-Benchmark) |
-    | 👁️ [**電腦視覺 (CV)**](https://deep-learning-101.github.io//Computer-Vision) | 🛠️ [**實戰篇：打造高精準 RAG**](https://deep-learning-101.github.io/RAG) |
-    | 🎤 [**語音處理 (Speech)**](https://deep-learning-101.github.io/Speech-Processing) | 🕳️ [**避坑篇：AI Agent 開發陷阱**](https://deep-learning-101.github.io/agent) |
+    **產學雙棲、研究導航、商業徵信，你的全方位 AI 顧問**
+    <span style="font-size: 0.8em; color: gray;">(支援雲端同步 | 教授與公司資料分開儲存)</span>
     </div>
     """)
-    
-    with gr.Row():
-        search_input = gr.Textbox(label="探索領域或公司", placeholder="輸入產業領域 (如: 量子計算)、技術關鍵字或公司名稱...", scale=4)
-        search_btn = gr.Button("🔍 搜尋", variant="primary", scale=1)
-    
-    with gr.Row():
-        view_radio = gr.Radio(["搜尋結果", "追蹤清單"], label="顯示模式", value="追蹤清單")
-    
-    with gr.Row():
-        # Left: List
-        with gr.Column(scale=1):
-            comp_df = gr.Dataframe(
-                headers=["狀態", "公司名稱", "產業類別", "標籤"],
-                datatype=["str", "str", "str", "str"],
-                interactive=False,
-                label="公司列表 (點擊查看詳情)"
-            )
-            load_more_btn = gr.Button("載入更多", visible=False)
+
+    with gr.Tabs():
         
-        # Right: Details
-        with gr.Column(scale=2, visible=False) as details_col:
-            detail_md = gr.Markdown("詳細資料...")
+        # ==========================
+        # Tab 1: 🎓 教授去哪兒？
+        # ==========================
+        with gr.Tab("🎓 找教授 (Prof.404)"):
+            prof_saved = gr.State([])
+            prof_res = gr.State([])
+            prof_sel = gr.State(None)
             
-            # Chat Section
-            with gr.Column(elem_classes="chat-section"):
-                gr.Markdown("### 🤖 商業顧問 (已閱讀下方報告)")
-                # 這裡 Chatbot 使用預設設定 (相容 Tuple 格式)
-                chatbot = gr.Chatbot(height=250)
-                with gr.Row():
-                    msg = gr.Textbox(label="提問", placeholder="例如：這間公司適合新鮮人嗎？有勞資糾紛嗎？", scale=4)
-                    send_btn = gr.Button("送出", scale=1)
-
-            gr.Markdown("---")
-
-            # Tags & Status
-            with gr.Column(visible=False) as tags_row:
-                tags_display = gr.Markdown("目前標籤: (無)")
-                with gr.Row():
-                    tag_input = gr.Textbox(label="新增標籤", placeholder="例如: 薪水高, 加班多...", scale=3)
-                    tag_add_btn = gr.Button("➕ 新增", scale=1)
-                with gr.Accordion("刪除標籤", open=False):
+            with gr.Row():
+                p_in = gr.Textbox(label="搜尋教授", placeholder="輸入研究領域 (如: LLM)...", scale=4)
+                p_btn = gr.Button("🔍 搜尋", variant="primary", scale=1)
+            
+            p_view = gr.Radio(["搜尋結果", "追蹤清單"], label="顯示模式", value="追蹤清單")
+            
+            with gr.Row():
+                with gr.Column(scale=1):
+                    p_df = gr.Dataframe(headers=["狀態","姓名","大學","系所","標籤"], datatype=["str","str","str","str","str"], interactive=False)
+                    p_load = gr.Button("載入更多", visible=False)
+                
+                with gr.Column(scale=2, visible=False) as p_col:
+                    p_md = gr.Markdown("...")
+                    with gr.Column():
+                        gr.Markdown("### 🤖 學術顧問")
+                        p_chat = gr.Chatbot(height=250)
+                        with gr.Row():
+                            p_msg = gr.Textbox(label="提問", scale=4)
+                            p_send = gr.Button("送出", scale=1)
+                    gr.Markdown("---")
+                    with gr.Column(visible=False) as p_tag_row:
+                        p_tag_disp = gr.Markdown("標籤: (無)")
+                        with gr.Row():
+                            p_tag_in = gr.Textbox(label="新增標籤", scale=3)
+                            p_tag_add = gr.Button("➕", scale=1)
+                        with gr.Accordion("刪除標籤", open=False):
+                            with gr.Row():
+                                p_tag_drop = gr.Dropdown(label="選擇標籤", choices=[], scale=3)
+                                p_tag_del = gr.Button("🗑️", scale=1, variant="secondary")
                     with gr.Row():
-                        tag_dropdown = gr.Dropdown(label="選擇標籤", choices=[], scale=3)
-                        tag_del_btn = gr.Button("🗑️ 刪除", scale=1, variant="secondary")
+                        p_good = gr.Button("✅ 符合")
+                        p_bad = gr.Button("❌ 不符")
+                        p_pend = gr.Button("❓ 待觀察")
+                        p_rem = gr.Button("🗑️ 移除", variant="stop")
+
+            # Wiring Prof
+            demo.load(prof_init, None, [prof_saved, p_df])
+            p_btn.click(prof_search, [p_in, prof_saved], [p_df, prof_res, p_load]).then(lambda: gr.update(value="搜尋結果"), outputs=[p_view])
+            p_load.click(prof_load_more, [p_in, prof_res, prof_saved], [p_df, prof_res])
+            p_view.change(prof_toggle, [p_view, prof_res, prof_saved], [p_df, p_load])
+            p_df.select(prof_select, [prof_res, prof_saved, p_view], [p_col, p_md, p_chat, prof_sel, prof_saved, p_tag_disp, p_tag_drop, p_tag_row])
+            p_send.click(prof_chat, [p_chat, p_msg, prof_sel], [p_chat, p_msg]); p_msg.submit(prof_chat, [p_chat, p_msg, prof_sel], [p_chat, p_msg])
+            p_tag_add.click(prof_add_tag, [p_tag_in, prof_sel, prof_saved, p_view, prof_res], [p_tag_in, p_tag_disp, p_tag_drop, prof_saved, p_df])
+            p_tag_del.click(prof_remove_tag, [p_tag_drop, prof_sel, prof_saved, p_view, prof_res], [p_tag_disp, p_tag_drop, prof_saved, p_df])
+            for btn, s in [(p_good,'match'),(p_bad,'mismatch'),(p_pend,'pending')]: btn.click(prof_update_status, [gr.State(s), prof_sel, prof_saved, p_view, prof_res], [p_df, prof_saved])
+            p_rem.click(prof_remove, [prof_sel, prof_saved, p_view, prof_res], [gr.State(None), p_df, prof_saved, p_col])
+
+        # ==========================
+        # Tab 2: 🏢 公司去那兒？
+        # ==========================
+        with gr.Tab("🏢 找公司 (Com.404)"):
+            comp_saved = gr.State([])
+            comp_res = gr.State([])
+            comp_sel = gr.State(None)
             
             with gr.Row():
-                btn_good = gr.Button("✅ 優質")
-                btn_risk = gr.Button("⚠️ 風險")
-                btn_pending = gr.Button("❓ 未定")
-                btn_remove = gr.Button("🗑️ 移除", variant="stop")
-
-    # --- Wiring ---
-    
-    demo.load(init_on_load, inputs=None, outputs=[saved_state, comp_df])
-
-    # 🌟 這裡修正了：search_companies
-    search_btn.click(
-        search_companies, 
-        inputs=[search_input, saved_state], 
-        outputs=[comp_df, search_res_state, load_more_btn]
-    ).then(
-        lambda: gr.update(value="搜尋結果"), outputs=[view_radio]
-    )
-    
-    load_more_btn.click(
-        load_more, 
-        inputs=[search_input, search_res_state, saved_state], 
-        outputs=[comp_df, search_res_state]
-    )
-    
-    view_radio.change(
-        toggle_view, 
-        inputs=[view_radio, search_res_state, saved_state], 
-        outputs=[comp_df, load_more_btn]
-    )
-    
-    # 🌟 這裡修正了：select_company
-    comp_df.select(
-        select_company, 
-        inputs=[search_res_state, saved_state, view_radio], 
-        outputs=[
-            details_col, detail_md, chatbot, selected_comp_state, saved_state, 
-            tags_display, tag_dropdown, tags_row
-        ]
-    )
-    
-    send_btn.click(chat_response, inputs=[chatbot, msg, selected_comp_state], outputs=[chatbot, msg])
-    msg.submit(chat_response, inputs=[chatbot, msg, selected_comp_state], outputs=[chatbot, msg])
-    
-    tag_add_btn.click(
-        add_tag, 
-        inputs=[tag_input, selected_comp_state, saved_state, view_radio, search_res_state], 
-        outputs=[tag_input, tags_display, tag_dropdown, saved_state, comp_df]
-    )
-    tag_del_btn.click(
-        remove_tag, 
-        inputs=[tag_dropdown, selected_comp_state, saved_state, view_radio, search_res_state], 
-        outputs=[tags_display, tag_dropdown, saved_state, comp_df]
-    )
-    
-    for btn, status in [(btn_good, 'good'), (btn_risk, 'risk'), (btn_pending, 'pending')]:
-        btn.click(
-            update_status, 
-            inputs=[gr.State(status), selected_comp_state, saved_state, view_radio, search_res_state], 
-            outputs=[comp_df, saved_state]
-        )
-    
-    # 🌟 這裡修正了：remove_comp
-    btn_remove.click(
-        remove_comp, 
-        inputs=[selected_comp_state, saved_state, view_radio, search_res_state], 
-        outputs=[gr.State(None), comp_df, saved_state, details_col]
-    )
+                c_in = gr.Textbox(label="搜尋公司/領域", placeholder="輸入產業 (如: 量子計算) 或公司名稱...", scale=4)
+                c_btn = gr.Button("🔍 搜尋", variant="primary", scale=1)
+            
+            c_view = gr.Radio(["搜尋結果", "追蹤清單"], label="顯示模式", value="追蹤清單")
+            
+            with gr.Row():
+                with gr.Column(scale=1):
+                    c_df = gr.Dataframe(headers=["狀態","公司名稱","產業類別","標籤"], datatype=["str","str","str","str"], interactive=False)
+                    c_load = gr.Button("載入更多", visible=False)
+                
+                with gr.Column(scale=2, visible=False) as c_col:
+                    c_md = gr.Markdown("...")
+                    with gr.Column():
+                        gr.Markdown("### 🤖 商業顧問")
+                        c_chat = gr.Chatbot(height=250)
+                        with gr.Row():
+                            c_msg = gr.Textbox(label="提問", scale=4)
+                            c_send = gr.Button("送出", scale=1)
+                    gr.Markdown("---")
+                    with gr.Column(visible=False) as c_tag_row:
+                        c_tag_disp = gr.Markdown("標籤: (無)")
+                        with gr.Row():
+                            c_tag_in = gr.Textbox(label="新增標籤", scale=3)
+                            c_tag_add = gr.Button("➕", scale=1)
+                        with gr.Accordion("刪除標籤", open=False):
+                            with gr.Row():
+                                c_tag_drop = gr.Dropdown(label="選擇標籤", choices=[], scale=3)
+                                c_tag_del = gr.Button("🗑️", scale=1, variant="secondary")
+                    with gr.Row():
+                        c_good = gr.Button("✅ 優質")
+                        c_risk = gr.Button("⚠️ 風險")
+                        c_pend = gr.Button("❓ 未定")
+                        c_rem = gr.Button("🗑️ 移除", variant="stop")
+
+            # Wiring Comp
+            demo.load(comp_init, None, [comp_saved, c_df])
+            c_btn.click(comp_search, [c_in, comp_saved], [c_df, comp_res, c_load]).then(lambda: gr.update(value="搜尋結果"), outputs=[c_view])
+            c_load.click(comp_load_more, [c_in, comp_res, comp_saved], [c_df, comp_res])
+            c_view.change(comp_toggle, [c_view, comp_res, comp_saved], [c_df, c_load])
+            c_df.select(comp_select, [comp_res, comp_saved, c_view], [c_col, c_md, c_chat, comp_sel, comp_saved, c_tag_disp, c_tag_drop, c_tag_row])
+            c_send.click(comp_chat, [c_chat, c_msg, comp_sel], [c_chat, c_msg]); c_msg.submit(comp_chat, [c_chat, c_msg, comp_sel], [c_chat, c_msg])
+            c_tag_add.click(comp_add_tag, [c_tag_in, comp_sel, comp_saved, c_view, comp_res], [c_tag_in, c_tag_disp, c_tag_drop, comp_saved, c_df])
+            c_tag_del.click(comp_remove_tag, [c_tag_drop, comp_sel, comp_saved, c_view, comp_res], [c_tag_disp, c_tag_drop, comp_saved, c_df])
+            for btn, s in [(c_good,'good'),(c_risk,'risk'),(c_pend,'pending')]: btn.click(comp_update_status, [gr.State(s), comp_sel, comp_saved, c_view, comp_res], [c_df, comp_saved])
+            c_rem.click(comp_remove, [comp_sel, comp_saved, c_view, comp_res], [gr.State(None), c_df, comp_saved, c_col])
 
 if __name__ == "__main__":
     demo.launch()