UnisKB/apps/locales/zh_Hant/LC_MESSAGES/django.po

# SOME DESCRIPTIVE TITLE.
# Copyright (C) YEAR THE PACKAGE'S COPYRIGHT HOLDER
# This file is distributed under the same license as the PACKAGE package.
# FIRST AUTHOR <EMAIL@ADDRESS>, YEAR.
#
msgid ""
msgstr ""
"Project-Id-Version: PACKAGE VERSION\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-05-26 16:31+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: LANGUAGE <LL@li.org>\n"
"Language: \n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=UTF-8\n"
"Content-Transfer-Encoding: 8bit\n"

#: common/auth/authenticate.py:80
msgid "Not logged in, please log in first"
msgstr "未登錄，請先登錄"

#: common/auth/authenticate.py:82 common/auth/authenticate.py:89
#: common/auth/authenticate.py:95
msgid "Authentication information is incorrect! illegal user"
msgstr "身份驗證信息不正確！非法用戶"

#: common/auth/authentication.py:96
msgid "No permission to access"
msgstr "無權限訪問"

#: common/auth/handle/impl/user_token.py:242
msgid "Login expired"
msgstr "登錄已過期"

#: common/constants/exception_code_constants.py:31
#: users/serializers/login.py:53
msgid "The username or password is incorrect"
msgstr "用戶名或密碼不正確"

#: common/constants/exception_code_constants.py:32
msgid "Please log in first and bring the user Token"
msgstr "請先登錄並攜帶用戶 Token"

#: common/constants/exception_code_constants.py:33
msgid "Email sending failed"
msgstr "郵件發送失敗"

#: common/constants/exception_code_constants.py:34
msgid "Email format error"
msgstr "郵箱格式錯誤"

#: common/constants/exception_code_constants.py:35
msgid "The email has been registered, please log in directly"
msgstr "該郵箱已註冊，請直接登錄"

#: common/constants/exception_code_constants.py:36
msgid "The email is not registered, please register first"
msgstr "該郵箱未註冊，請先註冊"

#: common/constants/exception_code_constants.py:38
msgid "The verification code is incorrect or the verification code has expired"
msgstr "驗證碼不正確或已過期"

#: common/constants/exception_code_constants.py:39
msgid "The username has been registered, please log in directly"
msgstr "用戶名已註冊，請直接登錄"

#: common/constants/exception_code_constants.py:41
msgid ""
"The username cannot be empty and must be between 6 and 20 characters long."
msgstr "用戶名不能為空，且長度在6到20個字符之間。"

#: common/constants/exception_code_constants.py:43
msgid "Password and confirmation password are inconsistent"
msgstr "密碼和確認密碼不一致"

#: common/constants/exception_code_constants.py:44
msgid "The nickname is already registered"
msgstr "暱稱已註冊"

#: common/constants/permission_constants.py:172
msgid "System Setting"
msgstr "系統設置"

#: common/constants/permission_constants.py:173 users/views/login.py:24
#: users/views/login.py:36 users/views/user.py:34 users/views/user.py:47
#: users/views/user.py:61 users/views/user.py:76 users/views/user.py:90
#: users/views/user.py:104 users/views/user.py:117 users/views/user.py:128
#: users/views/user.py:139 users/views/user.py:155 users/views/user.py:170
msgid "User Management"
msgstr "用戶管理"

#: common/constants/permission_constants.py:174
#: role_setting/views/role_setting.py:29 role_setting/views/role_setting.py:51
#: role_setting/views/role_setting.py:66 role_setting/views/role_setting.py:85
#: role_setting/views/role_setting.py:105
#: role_setting/views/role_setting.py:123
#: role_setting/views/role_setting.py:145
#: role_setting/views/role_setting.py:167
#: role_setting/views/role_setting.py:183
msgid "Role"
msgstr "角色"

#: common/constants/permission_constants.py:175 workspace/views/workspace.py:28
#: workspace/views/workspace.py:38 workspace/views/workspace.py:52
#: workspace/views/workspace.py:68 workspace/views/workspace.py:84
#: workspace/views/workspace.py:101 workspace/views/workspace.py:118
#: workspace/views/workspace.py:133 workspace/views/workspace.py:149
#: workspace/views/workspace.py:166 workspace/views/workspace.py:182
msgid "Workspace"
msgstr "工作空間"

#: common/constants/permission_constants.py:176
msgid "Resource Application"
msgstr "資源管理-應用"

#: common/constants/permission_constants.py:177
msgid "Resource Knowledge"
msgstr "資源管理-知識庫"

#: common/constants/permission_constants.py:178
msgid "Resource Tool"
msgstr "資源管理-工具"

#: common/constants/permission_constants.py:179
msgid "Resource Model"
msgstr "資源管理-模型"

#: common/constants/permission_constants.py:180
msgid "Resource Permission"
msgstr "資源授權"

#: common/constants/permission_constants.py:181
msgid "Shared Knowledge"
msgstr "共享資源-知識庫"

#: common/constants/permission_constants.py:182
msgid "Shared Model"
msgstr "共享資源-模型"

#: common/constants/permission_constants.py:183
msgid "Shared Tool"
msgstr "共享資源-工具"

#: common/constants/permission_constants.py:184
msgid "Operation Log"
msgstr "操作日誌"

#: common/constants/permission_constants.py:185
#: common/constants/permission_constants.py:191
msgid "Other"
msgstr "其他"

#: common/constants/permission_constants.py:186
msgid "System Management"
msgstr "系統管理"

#: common/constants/permission_constants.py:187
#: common/constants/permission_constants.py:197
msgid "Application"
msgstr "應用"

#: common/constants/permission_constants.py:188
#: common/constants/permission_constants.py:198
msgid "Knowledge"
msgstr "知識庫"

#: common/constants/permission_constants.py:189
#: models_provider/views/model.py:31 models_provider/views/model.py:59
#: models_provider/views/model.py:77 models_provider/views/model.py:90
#: models_provider/views/model.py:102 models_provider/views/model.py:117
#: models_provider/views/model.py:130 models_provider/views/model.py:148
#: models_provider/views/model.py:164 models_provider/views/model_apply.py:29
#: models_provider/views/model_apply.py:42
#: models_provider/views/model_apply.py:55 models_provider/views/provide.py:25
#: models_provider/views/provide.py:49 models_provider/views/provide.py:64
#: models_provider/views/provide.py:83 models_provider/views/provide.py:101
msgid "Model"
msgstr "模型"

#: common/constants/permission_constants.py:190 tools/views/tool.py:27
#: tools/views/tool.py:42 tools/views/tool.py:60 tools/views/tool.py:79
#: tools/views/tool.py:94 tools/views/tool.py:109 tools/views/tool.py:127
#: tools/views/tool.py:152 tools/views/tool.py:170 tools/views/tool.py:189
msgid "Tool"
msgstr "工具"

#: common/constants/permission_constants.py:192
msgid "Read"
msgstr "查看"

#: common/constants/permission_constants.py:193
msgid "Edit"
msgstr "編輯"

#: common/constants/permission_constants.py:194
msgid "Create"
msgstr "創建"

#: common/constants/permission_constants.py:195
msgid "Delete"
msgstr "刪除"

#: common/constants/permission_constants.py:196
msgid "Email Setting"
msgstr "郵箱設置"

#: common/constants/permission_constants.py:199
msgid "Document"
msgstr "文檔"

#: common/constants/permission_constants.py:200
msgid "Problem"
msgstr "問題"

#: common/constants/permission_constants.py:201
msgid "Import"
msgstr "導入"

#: common/constants/permission_constants.py:202
msgid "Export"
msgstr "導出"

#: common/constants/permission_constants.py:203
msgid "Debug"
msgstr "調試"

#: common/constants/permission_constants.py:204
msgid "Sync"
msgstr "同步"

#: common/constants/permission_constants.py:205
msgid "Generate"
msgstr "生成問題"

#: common/constants/permission_constants.py:206
msgid "Add Member"
msgstr "添加成員"

#: common/constants/permission_constants.py:207
msgid "Remove Member"
msgstr "移除成員"

#: common/constants/permission_constants.py:208
msgid "Vector"
msgstr "向量化"

#: common/constants/permission_constants.py:209
msgid "Migrate"
msgstr "遷移"

#: common/constants/permission_constants.py:210
msgid "Relate"
msgstr "關聯分段"

#: common/event/__init__.py:27
msgid "The download process was interrupted, please try again"
msgstr "下載過程被中斷，請重試"

#: common/event/listener_manage.py:90
#, python-brace-format
msgid "Query vector data: {paragraph_id_list} error {error} {traceback}"
msgstr "查詢向量數據：{paragraph_id_list} 錯誤：{error} {traceback}"

#: common/event/listener_manage.py:95
#, python-brace-format
msgid "Start--->Embedding paragraph: {paragraph_id_list}"
msgstr "開始--->向量段落: {paragraph_id_list}"

#: common/event/listener_manage.py:107
#, python-brace-format
msgid "Vectorized paragraph: {paragraph_id_list} error {error} {traceback}"
msgstr "向量段落: {paragraph_id_list} 錯誤：{error} {traceback}"

#: common/event/listener_manage.py:113
#, python-brace-format
msgid "End--->Embedding paragraph: {paragraph_id_list}"
msgstr "結束--->向量段落: {paragraph_id_list}"

#: common/event/listener_manage.py:122
#, python-brace-format
msgid "Start--->Embedding paragraph: {paragraph_id}"
msgstr "開始--->向量段落: {paragraph_id}"

#: common/event/listener_manage.py:147
#, python-brace-format
msgid "Vectorized paragraph: {paragraph_id} error {error} {traceback}"
msgstr "向量段落: {paragraph_id} 錯誤：{error} {traceback}"

#: common/event/listener_manage.py:152
#, python-brace-format
msgid "End--->Embedding paragraph: {paragraph_id}"
msgstr "結束--->向量段落: {paragraph_id}"

#: common/event/listener_manage.py:268
#, python-brace-format
msgid "Start--->Embedding document: {document_id}"
msgstr "開始--->向量文檔: {document_id}"

#: common/event/listener_manage.py:288
#, python-brace-format
msgid "Vectorized document: {document_id} error {error} {traceback}"
msgstr "向量文檔: {document_id} 錯誤：{error} {traceback}"

#: common/event/listener_manage.py:293
#, python-brace-format
msgid "End--->Embedding document: {document_id}"
msgstr "結束--->向量文檔: {document_id}"

#: common/event/listener_manage.py:304
#, python-brace-format
msgid "Start--->Embedding knowledge: {knowledge_id}"
msgstr "開始--->向量知識庫: {knowledge_id}"

#: common/event/listener_manage.py:308
#, python-brace-format
msgid "Start--->Embedding document: {document_list}"
msgstr "開始--->向量文檔: {document_list}"

#: common/event/listener_manage.py:312 knowledge/task/embedding.py:116
#, python-brace-format
msgid "Vectorized knowledge: {knowledge_id} error {error} {traceback}"
msgstr "向量知識庫: {knowledge_id} 錯誤：{error} {traceback}"

#: common/event/listener_manage.py:315
#, python-brace-format
msgid "End--->Embedding knowledge: {knowledge_id}"
msgstr "結束--->向量知識庫: {knowledge_id}"

#: common/exception/handle_exception.py:32 common/handle/handle_exception.py:33
msgid "Unknown exception"
msgstr "未知錯誤"

#: common/forms/base_field.py:64
#, python-brace-format
msgid "The field {field_label} is required"
msgstr "{field_label} 欄位是必填項"

#: common/forms/slider_field.py:56
#, python-brace-format
msgid "The {field_label} cannot be less than {min}"
msgstr "{field_label} 不能小於{min}"

#: common/forms/slider_field.py:62
#, python-brace-format
msgid "The {field_label} cannot be greater than {max}"
msgstr "{field_label} 不能大於{max}"

#: common/handle/impl/qa/zip_parse_qa_handle.py:56
#: common/handle/impl/text/zip_split_handle.py:58
#: knowledge/serializers/document.py:564 knowledge/serializers/document.py:571
#: tools/serializers/tool.py:347
msgid "Unsupported file format"
msgstr "不支持的文件格式"

#: common/handle/impl/text/pdf_split_handle.py:281
#, python-brace-format
msgid "This document has no preface and is treated as ordinary text: {e}"
msgstr "該文檔沒有前言，視為普通文本: {e}"

#: common/result/api.py:17 common/result/api.py:27
msgid "response code"
msgstr "響應碼"

#: common/result/api.py:18 common/result/api.py:19 common/result/api.py:28
#: common/result/api.py:29
msgid "error prompt"
msgstr "錯誤提示"

#: common/result/api.py:43
msgid "total number of data"
msgstr "總數據"

#: common/result/api.py:44
msgid "current page"
msgstr "當前頁"

#: common/result/api.py:45
msgid "page size"
msgstr "每頁大小"

#: common/result/result.py:31
msgid "Success"
msgstr "成功"

#: common/utils/common.py:92
msgid "Text-to-speech node, the text content must be of string type"
msgstr "文本轉語音節點，文本內容必須是字符串類型"

#: common/utils/common.py:94
msgid "Text-to-speech node, the text content cannot be empty"
msgstr "文本轉語音節點，文本內容不能為空"

#: common/utils/common.py:247
#, python-brace-format
msgid "Limit {count} exceeded, please contact us (https://fit2cloud.com/)."
msgstr "超過限制 {count}，請聯繫我們 (https://fit2cloud.com/)."

#: folders/models/folder.py:6 folders/models/folder.py:17
#: folders/serializers/folder.py:100
msgid "folder name"
msgstr "文件夾名稱"

#: folders/models/folder.py:8 folders/models/folder.py:19
#: folders/serializers/folder.py:101
msgid "folder description"
msgstr "文件夾描述"

#: folders/models/folder.py:12 folders/models/folder.py:23
#: folders/serializers/folder.py:104
msgid "parent id"
msgstr "父級 ID"

#: folders/serializers/folder.py:77
msgid "Folder depth cannot exceed 3 levels"
msgstr "文件夾深度不能超過3級"

#: folders/serializers/folder.py:99 folders/serializers/folder.py:137
#: knowledge/serializers/knowledge.py:46 knowledge/serializers/knowledge.py:53
#: tools/serializers/tool.py:393
msgid "folder id"
msgstr "文件夾 ID"

#: folders/serializers/folder.py:102
msgid "folder user id"
msgstr "文件夾用戶 ID"

#: folders/serializers/folder.py:103 folders/serializers/folder.py:138
#: folders/serializers/folder.py:190 knowledge/serializers/document.py:185
#: knowledge/serializers/document.py:244 knowledge/serializers/document.py:331
#: knowledge/serializers/document.py:444 knowledge/serializers/document.py:586
#: knowledge/serializers/document.py:641 knowledge/serializers/document.py:661
#: knowledge/serializers/document.py:805 knowledge/serializers/knowledge.py:173
#: knowledge/serializers/knowledge.py:338
#: knowledge/serializers/knowledge.py:440
#: knowledge/serializers/knowledge.py:518
#: knowledge/serializers/paragraph.py:132
#: knowledge/serializers/paragraph.py:326 knowledge/serializers/problem.py:176
#: knowledge/serializers/problem.py:204 models_provider/api/model.py:40
#: models_provider/api/model.py:53
#: models_provider/serializers/model_serializer.py:262
#: models_provider/serializers/model_serializer.py:326
#: system_manage/serializers/user_resource_permission.py:73
#: tools/serializers/tool.py:196 tools/serializers/tool.py:217
#: tools/serializers/tool.py:275 tools/serializers/tool.py:335
#: tools/serializers/tool.py:365 tools/serializers/tool.py:392
msgid "workspace id"
msgstr "工作空間ID"

#: folders/serializers/folder.py:107 knowledge/serializers/knowledge.py:104
#: knowledge/serializers/knowledge.py:172
#: knowledge/serializers/knowledge.py:337
#: knowledge/serializers/knowledge.py:442
#: knowledge/serializers/knowledge.py:520
#: models_provider/serializers/model_serializer.py:108
#: models_provider/serializers/model_serializer.py:215
#: models_provider/serializers/model_serializer.py:255
#: tools/serializers/tool.py:195 tools/serializers/tool.py:216
#: tools/serializers/tool.py:395
msgid "user id"
msgstr "用戶ID"

#: folders/serializers/folder.py:108 folders/serializers/folder.py:139
#: folders/serializers/folder.py:191 tools/serializers/tool.py:120
msgid "source"
msgstr "來源"

#: folders/serializers/folder.py:121
msgid "Folder name already exists"
msgstr "文件夾名稱已存在"

#: folders/serializers/folder.py:148
msgid "Folder does not exist"
msgstr "文件夾不存在"

#: folders/serializers/folder.py:177
msgid "Cannot delete root folder"
msgstr "無法刪除根文件夾"

#: folders/views/folder.py:19 folders/views/folder.py:20
#: folders/views/folder.py:21
msgid "Create folder"
msgstr "創建文件夾"

#: folders/views/folder.py:25 folders/views/folder.py:43
#: folders/views/folder.py:63 folders/views/folder.py:79
#: folders/views/folder.py:95
msgid "Folder"
msgstr "文件夾"

#: folders/views/folder.py:38 folders/views/folder.py:39
#: folders/views/folder.py:40
msgid "Get folder tree"
msgstr "獲取文件夾樹"

#: folders/views/folder.py:57 folders/views/folder.py:58
#: folders/views/folder.py:59
msgid "Update folder"
msgstr "更新文件夾"

#: folders/views/folder.py:74 folders/views/folder.py:75
#: folders/views/folder.py:76
msgid "Get folder"
msgstr "獲取文件夾"

#: folders/views/folder.py:90 folders/views/folder.py:91
#: folders/views/folder.py:92
msgid "Delete folder"
msgstr "刪除文件夾"

#: knowledge/serializers/common.py:32 knowledge/serializers/knowledge.py:56
msgid "source url"
msgstr "來源"

#: knowledge/serializers/common.py:33 knowledge/serializers/document.py:141
msgid "selector"
msgstr "選擇器"

#: knowledge/serializers/common.py:40
#, python-brace-format
msgid "URL error, cannot parse [{source_url}]"
msgstr "URL 錯誤，無法解析 [{source_url}]"

#: knowledge/serializers/common.py:48 knowledge/serializers/document.py:68
#: knowledge/serializers/document.py:159 knowledge/serializers/document.py:171
msgid "id list"
msgstr "ID 列表"

#: knowledge/serializers/common.py:58
#, python-brace-format
msgid "The following id does not exist: {error_id_list}"
msgstr "以下ID不存在: {error_id_list}"

#: knowledge/serializers/common.py:71
msgid "Model id"
msgstr "模型ID"

#: knowledge/serializers/common.py:72
msgid "Prompt word"
msgstr "提示詞"

#: knowledge/serializers/common.py:74 knowledge/serializers/document.py:155
#: knowledge/serializers/document.py:160 knowledge/serializers/document.py:167
msgid "state list"
msgstr "狀態列表"

#: knowledge/serializers/common.py:117 knowledge/serializers/common.py:141
msgid "The knowledge base is inconsistent with the vector model"
msgstr "知識庫與向量模型不一致"

#: knowledge/serializers/common.py:119 knowledge/serializers/common.py:143
msgid "Knowledge base setting error, please reset the knowledge base"
msgstr "知識庫設置錯誤，請重置知識庫"

#: knowledge/serializers/document.py:69 knowledge/serializers/document.py:86
#: knowledge/serializers/document.py:190
msgid "task type"
msgstr "任務類型"

#: knowledge/serializers/document.py:77 knowledge/serializers/document.py:94
msgid "task type not support"
msgstr "任務類型不支持"

#: knowledge/serializers/document.py:81 knowledge/serializers/document.py:99
#: knowledge/serializers/document.py:187
msgid "document name"
msgstr "文檔名稱"

#: knowledge/serializers/document.py:102 knowledge/serializers/document.py:179
msgid "The type only supports optimization|directly_return"
msgstr "該類型僅支持優化|直接返回"

#: knowledge/serializers/document.py:104 knowledge/serializers/document.py:172
#: knowledge/serializers/document.py:188
msgid "hit handling method"
msgstr "命中處理方法"

#: knowledge/serializers/document.py:107 knowledge/serializers/document.py:174
msgid "directly return similarity"
msgstr "直接返回相似度"

#: knowledge/serializers/document.py:109 knowledge/serializers/document.py:189
msgid "document is active"
msgstr "文檔已激活"

#: knowledge/serializers/document.py:128 knowledge/serializers/document.py:145
#: knowledge/serializers/document.py:150
msgid "file list"
msgstr "文件 列表"

#: knowledge/serializers/document.py:129
msgid "limit"
msgstr "限制"

#: knowledge/serializers/document.py:132 knowledge/serializers/document.py:133
msgid "patterns"
msgstr "分割符"

#: knowledge/serializers/document.py:135
msgid "Auto Clean"
msgstr "自動清理"

#: knowledge/serializers/document.py:139 knowledge/serializers/document.py:140
msgid "document url list"
msgstr "文檔 URL 列表"

#: knowledge/serializers/document.py:146 knowledge/serializers/document.py:151
#: knowledge/serializers/file.py:56 tools/serializers/tool.py:333
msgid "file"
msgstr "文件"

#: knowledge/serializers/document.py:164
msgid "document id list"
msgstr "文檔 ID 列表"

#: knowledge/serializers/document.py:165 knowledge/serializers/paragraph.py:56
#: models_provider/api/model.py:59
#: models_provider/serializers/model_apply_serializers.py:51
#: models_provider/serializers/model_serializer.py:107
#: models_provider/serializers/model_serializer.py:367
msgid "model id"
msgstr "模型ID"

#: knowledge/serializers/document.py:166 knowledge/serializers/paragraph.py:57
msgid "prompt"
msgstr "提示詞"

#: knowledge/serializers/document.py:186 knowledge/serializers/document.py:245
#: knowledge/serializers/document.py:333 knowledge/serializers/document.py:587
#: knowledge/serializers/document.py:642 knowledge/serializers/document.py:662
#: knowledge/serializers/document.py:806 knowledge/serializers/knowledge.py:174
#: knowledge/serializers/knowledge.py:441 knowledge/serializers/paragraph.py:68
#: knowledge/serializers/paragraph.py:136
#: knowledge/serializers/paragraph.py:236
#: knowledge/serializers/paragraph.py:301
#: knowledge/serializers/paragraph.py:327
#: knowledge/serializers/paragraph.py:378 knowledge/serializers/problem.py:62
#: knowledge/serializers/problem.py:126 knowledge/serializers/problem.py:177
#: knowledge/serializers/problem.py:205
msgid "knowledge id"
msgstr "知識庫 ID"

#: knowledge/serializers/document.py:191
msgid "status"
msgstr "狀態"

#: knowledge/serializers/document.py:192
msgid "order by"
msgstr "排序"

#: knowledge/serializers/document.py:246 knowledge/serializers/document.py:332
#: knowledge/serializers/document.py:445 knowledge/serializers/paragraph.py:59
#: knowledge/serializers/paragraph.py:69 knowledge/serializers/paragraph.py:138
#: knowledge/serializers/paragraph.py:237
#: knowledge/serializers/paragraph.py:302
#: knowledge/serializers/paragraph.py:329
#: knowledge/serializers/paragraph.py:379 knowledge/serializers/problem.py:36
#: knowledge/serializers/problem.py:51
msgid "document id"
msgstr "文檔 ID"

#: knowledge/serializers/document.py:253 knowledge/serializers/document.py:339
msgid "document id not exist"
msgstr "文檔 ID 不存在"

#: knowledge/serializers/document.py:255 knowledge/serializers/knowledge.py:453
msgid "Synchronization is only supported for web site types"
msgstr "僅支持網站類型的同步"

#: knowledge/serializers/document.py:421 knowledge/serializers/knowledge.py:186
#: models_provider/serializers/model_serializer.py:116
#: models_provider/serializers/model_serializer.py:132
#: models_provider/serializers/model_serializer.py:151
#: models_provider/serializers/model_serializer.py:178
#: models_provider/serializers/model_serializer.py:373
#: models_provider/tools.py:111
msgid "Model does not exist"
msgstr "模型不存在"

#: knowledge/serializers/document.py:423 knowledge/serializers/knowledge.py:188
msgid "No permission to use this model"
msgstr "無權限使用此模型"

#: knowledge/serializers/document.py:441
msgid "The task is being executed, please do not send it repeatedly."
msgstr "任務正在執行，請勿重複發送。"

#: knowledge/serializers/document.py:450
msgid "knowledge id not exist"
msgstr "知識庫 ID 不存在"

#: knowledge/serializers/document.py:596
msgid "The maximum size of the uploaded file cannot exceed {}MB"
msgstr "上傳文件的最大大小不能超過 {}MB"

#: knowledge/serializers/document.py:654
msgid "space"
msgstr "空格"

#: knowledge/serializers/document.py:655
msgid "semicolon"
msgstr "分號"

#: knowledge/serializers/document.py:655
msgid "comma"
msgstr "逗號"

#: knowledge/serializers/document.py:656
msgid "period"
msgstr "句號"

#: knowledge/serializers/document.py:656
msgid "enter"
msgstr "回車"

#: knowledge/serializers/document.py:657
msgid "blank line"
msgstr "空行"

#: knowledge/serializers/document.py:779
msgid "Hit handling method is required"
msgstr "命中處理方法是必需的"

#: knowledge/serializers/document.py:781
msgid "The hit processing method must be directly_return|optimization"
msgstr "命中處理方法必須是直接返回|優化"

#: knowledge/serializers/file.py:79
msgid "File not found"
msgstr "文件未找到"

#: knowledge/serializers/knowledge.py:45 knowledge/serializers/knowledge.py:52
#: knowledge/serializers/knowledge.py:61 knowledge/serializers/knowledge.py:100
msgid "knowledge name"
msgstr "知識庫名稱"

#: knowledge/serializers/knowledge.py:47 knowledge/serializers/knowledge.py:54
#: knowledge/serializers/knowledge.py:62 knowledge/serializers/knowledge.py:102
msgid "knowledge description"
msgstr "知識庫描述"

#: knowledge/serializers/knowledge.py:48 knowledge/serializers/knowledge.py:55
msgid "knowledge embedding"
msgstr "知識庫向量"

#: knowledge/serializers/knowledge.py:57
msgid "knowledge selector"
msgstr "知識庫選擇器"

#: knowledge/serializers/knowledge.py:66
msgid "application id"
msgstr "應用 ID"

#: knowledge/serializers/knowledge.py:67
msgid "application id list"
msgstr "應用 ID 列表"

#: knowledge/serializers/knowledge.py:87 knowledge/serializers/knowledge.py:521
msgid "query text"
msgstr "查詢文本"

#: knowledge/serializers/knowledge.py:88 knowledge/serializers/knowledge.py:522
msgid "top number"
msgstr "Top 數量"

#: knowledge/serializers/knowledge.py:89 knowledge/serializers/knowledge.py:523
msgid "similarity"
msgstr "相似度"

#: knowledge/serializers/knowledge.py:90 knowledge/serializers/knowledge.py:524
msgid "search mode"
msgstr "搜索模式"

#: knowledge/serializers/knowledge.py:92 knowledge/serializers/knowledge.py:526
msgid "The type only supports embedding|keywords|blend"
msgstr "類型僅支持嵌入|關鍵字|混合"

#: knowledge/serializers/knowledge.py:144 tools/serializers/tool.py:374
#: tools/serializers/tool.py:404 tools/serializers/tool.py:427
msgid "Folder not found"
msgstr "文件夾不存在"

#: knowledge/serializers/knowledge.py:204
#: knowledge/serializers/knowledge.py:233
msgid "Failed to send the vectorization task, please try again later!"
msgstr "發送向量化任務失敗，請稍後再試！"

#: knowledge/serializers/knowledge.py:284
#: knowledge/serializers/knowledge.py:357
#: knowledge/serializers/knowledge.py:417
msgid "Knowledge base name duplicate!"
msgstr "知識庫名稱重複！"

#: knowledge/serializers/knowledge.py:306
#, python-brace-format
msgid "Unknown application id {knowledge_id}, cannot be associated"
msgstr "未知應用 ID {knowledge_id}，無法關聯"

#: knowledge/serializers/knowledge.py:348
msgid ""
"The community version supports up to 50 knowledge bases. If you need more "
"knowledge bases, please contact us (https://fit2cloud.com/)."
msgstr ""
"社區版支持最多50個知識庫，如需更多知識庫，請聯繫我們 (https://"
"fit2cloud.com/)."

#: knowledge/serializers/knowledge.py:443
msgid "sync type"
msgstr "同步類型"

#: knowledge/serializers/knowledge.py:445
msgid "The synchronization type only supports:replace|complete"
msgstr "同步類型僅支持:replace|complete"

#: knowledge/serializers/knowledge.py:451
#: knowledge/serializers/knowledge.py:532
msgid "id does not exist"
msgstr "知識庫 ID 不存在"

#: knowledge/serializers/knowledge.py:519 users/api/user.py:63
msgid "id"
msgstr "ID"

#: knowledge/serializers/paragraph.py:37 knowledge/serializers/problem.py:27
#: knowledge/serializers/problem.py:31 knowledge/serializers/problem.py:206
msgid "content"
msgstr "內容"

#: knowledge/serializers/paragraph.py:39 knowledge/serializers/paragraph.py:46
#: knowledge/serializers/paragraph.py:49 knowledge/serializers/paragraph.py:63
#: knowledge/serializers/paragraph.py:65 knowledge/serializers/paragraph.py:303
msgid "section title"
msgstr "章節標題"

#: knowledge/serializers/paragraph.py:42 tools/serializers/tool.py:150
#: tools/serializers/tool.py:170
msgid "Is active"
msgstr "是否啟用"

#: knowledge/serializers/paragraph.py:54
msgid "paragraph id list"
msgstr "段落 ID 列表"

#: knowledge/serializers/paragraph.py:55 knowledge/serializers/paragraph.py:70
#: knowledge/serializers/paragraph.py:134
#: knowledge/serializers/paragraph.py:330 knowledge/serializers/problem.py:35
#: knowledge/serializers/problem.py:50
msgid "paragraph id"
msgstr "段落 ID"

#: knowledge/serializers/paragraph.py:75 knowledge/serializers/paragraph.py:143
msgid "Paragraph id does not exist"
msgstr "段落 ID 不存在"

#: knowledge/serializers/paragraph.py:106
msgid "Already associated, please do not associate again"
msgstr "已關聯，請勿再次關聯"

#: knowledge/serializers/paragraph.py:179
msgid "Problem id does not exist"
msgstr "問題 ID 不存在"

#: knowledge/serializers/paragraph.py:243
msgid "The document id is incorrect"
msgstr "文檔 ID 不正確"

#: knowledge/serializers/paragraph.py:328 knowledge/serializers/problem.py:26
#: knowledge/serializers/problem.py:46 knowledge/serializers/problem.py:56
#: knowledge/serializers/problem.py:127
msgid "problem id"
msgstr "問題 ID"

#: knowledge/serializers/paragraph.py:338
msgid "Paragraph does not exist"
msgstr "段落不存在"

#: knowledge/serializers/paragraph.py:340
msgid "Problem does not exist"
msgstr "問題不存在"

#: knowledge/serializers/paragraph.py:415
msgid "The task is being executed, please do not send it again."
msgstr "任務正在執行，請勿重複發送。"

#: knowledge/serializers/problem.py:40
msgid "problem list"
msgstr "問題列表"

#: knowledge/serializers/problem.py:41
msgid "problem"
msgstr "問題 ID"

#: knowledge/serializers/problem.py:45 knowledge/serializers/problem.py:55
msgid "problem id list"
msgstr "問題 ID 列表"

#: knowledge/task/embedding.py:24 knowledge/task/embedding.py:74
#, python-brace-format
msgid "Failed to obtain vector model: {error} {traceback}"
msgstr "向量模型獲取失敗: {error} {traceback}"

#: knowledge/task/embedding.py:103
#, python-brace-format
msgid "Start--->Vectorized knowledge: {knowledge_id}"
msgstr "開始--->向量知識庫: {knowledge_id}"

#: knowledge/task/embedding.py:107
#, python-brace-format
msgid "Knowledge documentation: {document_names}"
msgstr "知識庫文檔: {document_names}"

#: knowledge/task/embedding.py:120
#, python-brace-format
msgid "End--->Vectorized knowledge: {knowledge_id}"
msgstr "結束--->向量知識庫: {knowledge_id}"

#: knowledge/task/generate.py:106
#, python-brace-format
msgid ""
"Generate issue based on document: {document_id} error {error}{traceback}"
msgstr "生成問題基於文檔: {document_id} 錯誤 {error}{traceback}"

#: knowledge/task/generate.py:110
#, python-brace-format
msgid "End--->Generate problem: {document_id}"
msgstr "結束--->生成問題: {document_id}"

#: knowledge/task/handler.py:121
#, python-brace-format
msgid "Association problem failed {error}"
msgstr "關聯問題失敗 {error}"

#: knowledge/task/sync.py:30 knowledge/task/sync.py:47
#, python-brace-format
msgid "Start--->Start synchronization web knowledge base:{knowledge_id}"
msgstr "開始--->開始同步 web 知識庫:{knowledge_id}"

#: knowledge/task/sync.py:35 knowledge/task/sync.py:51
#, python-brace-format
msgid "End--->End synchronization web knowledge base:{knowledge_id}"
msgstr "結束--->結束同步 web 知識庫:{knowledge_id}"

#: knowledge/task/sync.py:37 knowledge/task/sync.py:53
#, python-brace-format
msgid "Synchronize web knowledge base:{knowledge_id} error{error}{traceback}"
msgstr "同步 web 知識庫:{knowledge_id} 錯誤{error}{traceback}"

#: knowledge/views/document.py:23 knowledge/views/document.py:24
#: knowledge/views/document.py:25
msgid "Create document"
msgstr "創建文檔"

#: knowledge/views/document.py:29 knowledge/views/document.py:45
#: knowledge/views/document.py:69 knowledge/views/document.py:86
#: knowledge/views/document.py:100 knowledge/views/document.py:122
#: knowledge/views/document.py:152 knowledge/views/document.py:170
#: knowledge/views/document.py:189 knowledge/views/document.py:208
#: knowledge/views/document.py:226 knowledge/views/document.py:244
#: knowledge/views/document.py:263 knowledge/views/document.py:285
#: knowledge/views/document.py:307 knowledge/views/document.py:328
#: knowledge/views/document.py:351 knowledge/views/document.py:372
#: knowledge/views/document.py:399 knowledge/views/document.py:419
#: knowledge/views/document.py:439
msgid "Knowledge Base/Documentation"
msgstr "知識庫/文檔"

#: knowledge/views/document.py:40 knowledge/views/document.py:41
#: knowledge/views/document.py:42
msgid "Get document"
msgstr "獲取文檔"

#: knowledge/views/document.py:64 knowledge/views/document.py:65
#: knowledge/views/document.py:66
msgid "Get document details"
msgstr "文檔文檔詳情"

#: knowledge/views/document.py:80 knowledge/views/document.py:81
#: knowledge/views/document.py:82
msgid "Modify document"
msgstr "修改文檔"

#: knowledge/views/document.py:95 knowledge/views/document.py:96
#: knowledge/views/document.py:97
msgid "Delete document"
msgstr "刪除文檔"

#: knowledge/views/document.py:116 knowledge/views/document.py:117
#: knowledge/views/document.py:118
msgid "Segmented document"
msgstr "分段文檔"

#: knowledge/views/document.py:147 knowledge/views/document.py:148
#: knowledge/views/document.py:149
msgid "Get a list of segment IDs"
msgstr "獲取分段列表"

#: knowledge/views/document.py:164 knowledge/views/document.py:165
#: knowledge/views/document.py:166
msgid "Modify document hit processing methods in batches"
msgstr "批量修改文檔命中處理方法"

#: knowledge/views/document.py:183 knowledge/views/document.py:184
#: knowledge/views/document.py:185
msgid "Synchronize web site types"
msgstr "同步網站類型"

#: knowledge/views/document.py:202 knowledge/views/document.py:203
#: knowledge/views/document.py:204
msgid "Refresh document vector library"
msgstr "刷新文檔向量庫"

#: knowledge/views/document.py:220 knowledge/views/document.py:221
#: knowledge/views/document.py:222
msgid "Cancel task"
msgstr "取消任務"

#: knowledge/views/document.py:238 knowledge/views/document.py:239
#: knowledge/views/document.py:240
msgid "Cancel tasks in batches"
msgstr "批量取消任務"

#: knowledge/views/document.py:257 knowledge/views/document.py:258
#: knowledge/views/document.py:259
msgid "Create documents in batches"
msgstr "批量創建文檔"

#: knowledge/views/document.py:279 knowledge/views/document.py:280
#: knowledge/views/document.py:281
msgid "Batch sync documents"
msgstr "批量同步文檔"

#: knowledge/views/document.py:301 knowledge/views/document.py:302
#: knowledge/views/document.py:303
msgid "Delete documents in batches"
msgstr "批量刪除文檔"

#: knowledge/views/document.py:323 knowledge/views/document.py:324
msgid "Batch refresh document vector library"
msgstr "批量刷新文檔向量庫"

#: knowledge/views/document.py:345 knowledge/views/document.py:346
#: knowledge/views/document.py:347
msgid "Batch generate related documents"
msgstr "批量生成相關文檔"

#: knowledge/views/document.py:367 knowledge/views/document.py:368
#: knowledge/views/document.py:369
msgid "Get document by pagination"
msgstr "分頁獲取文檔"

#: knowledge/views/document.py:393 knowledge/views/document.py:394
#: knowledge/views/document.py:395
msgid "Create Web site documents"
msgstr "創建網站文檔"

#: knowledge/views/document.py:413 knowledge/views/document.py:414
#: knowledge/views/document.py:415
msgid "Import QA and create documentation"
msgstr "導入問答並創建文檔"

#: knowledge/views/document.py:433 knowledge/views/document.py:434
#: knowledge/views/document.py:435
msgid "Import tables and create documents"
msgstr "導入表格並創建文檔"

#: knowledge/views/file.py:20 knowledge/views/file.py:21
#: knowledge/views/file.py:22
msgid "Upload file"
msgstr "上傳文件"

#: knowledge/views/file.py:26 knowledge/views/file.py:39
#: knowledge/views/file.py:51
msgid "File"
msgstr "文件"

#: knowledge/views/file.py:34 knowledge/views/file.py:35
#: knowledge/views/file.py:36
msgid "Get file"
msgstr "獲取文件"

#: knowledge/views/file.py:46 knowledge/views/file.py:47
#: knowledge/views/file.py:48
msgid "Delete file"
msgstr "刪除文件"

#: knowledge/views/knowledge.py:22 knowledge/views/knowledge.py:23
#: knowledge/views/knowledge.py:24
msgid "Get knowledge by folder"
msgstr "根據文件夾獲取知識庫"

#: knowledge/views/knowledge.py:27 knowledge/views/knowledge.py:52
#: knowledge/views/knowledge.py:68 knowledge/views/knowledge.py:83
#: knowledge/views/knowledge.py:101 knowledge/views/knowledge.py:126
#: knowledge/views/knowledge.py:150 knowledge/views/knowledge.py:177
#: knowledge/views/knowledge.py:196 knowledge/views/knowledge.py:214
#: knowledge/views/knowledge.py:237 knowledge/views/knowledge.py:257
msgid "Knowledge Base"
msgstr "知識庫"

#: knowledge/views/knowledge.py:46 knowledge/views/knowledge.py:47
#: knowledge/views/knowledge.py:48
msgid "Edit knowledge"
msgstr "修改知識庫"

#: knowledge/views/knowledge.py:62 knowledge/views/knowledge.py:63
#: knowledge/views/knowledge.py:64
msgid "Delete knowledge"
msgstr "刪除知識庫"

#: knowledge/views/knowledge.py:78 knowledge/views/knowledge.py:79
#: knowledge/views/knowledge.py:80
msgid "Get knowledge"
msgstr "獲取知識庫"

#: knowledge/views/knowledge.py:96 knowledge/views/knowledge.py:97
#: knowledge/views/knowledge.py:98
msgid "Get the knowledge base paginated list"
msgstr "獲取知識庫分頁列表"

#: knowledge/views/knowledge.py:120 knowledge/views/knowledge.py:121
#: knowledge/views/knowledge.py:122
msgid "Synchronize the knowledge base of the website"
msgstr "同步網站知識庫"

#: knowledge/views/knowledge.py:144 knowledge/views/knowledge.py:145
#: knowledge/views/knowledge.py:146
msgid "Hit test list"
msgstr "命中測試列表"

#: knowledge/views/knowledge.py:171 knowledge/views/knowledge.py:172
#: knowledge/views/knowledge.py:173
msgid "Re-vectorize"
msgstr "重新向量化"

#: knowledge/views/knowledge.py:190 knowledge/views/knowledge.py:191
#: knowledge/views/knowledge.py:192
msgid "Generate related"
msgstr "生成相關"

#: knowledge/views/knowledge.py:209 knowledge/views/knowledge.py:210
#: knowledge/views/knowledge.py:211
msgid "Get model for knowledge base"
msgstr "獲取知識庫模型"

#: knowledge/views/knowledge.py:231 knowledge/views/knowledge.py:232
#: knowledge/views/knowledge.py:233
msgid "Create base knowledge"
msgstr "創建知識庫"

#: knowledge/views/knowledge.py:251 knowledge/views/knowledge.py:252
#: knowledge/views/knowledge.py:253
msgid "Create web knowledge"
msgstr "創建 web 知識庫"

#: knowledge/views/paragraph.py:21 knowledge/views/paragraph.py:22
#: knowledge/views/paragraph.py:23
msgid "Paragraph list"
msgstr "段落列表"

#: knowledge/views/paragraph.py:26 knowledge/views/paragraph.py:47
#: knowledge/views/paragraph.py:66 knowledge/views/paragraph.py:85
#: knowledge/views/paragraph.py:104 knowledge/views/paragraph.py:126
#: knowledge/views/paragraph.py:148 knowledge/views/paragraph.py:173
#: knowledge/views/paragraph.py:193 knowledge/views/paragraph.py:217
#: knowledge/views/paragraph.py:242 knowledge/views/paragraph.py:266
msgid "Knowledge Base/Documentation/Paragraph"
msgstr "知識庫/文檔/段落"

#: knowledge/views/paragraph.py:42 knowledge/views/paragraph.py:43
msgid "Create Paragraph"
msgstr "創建段落"

#: knowledge/views/paragraph.py:60 knowledge/views/paragraph.py:61
#: knowledge/views/paragraph.py:62
msgid "Batch Paragraph"
msgstr "批量段落"

#: knowledge/views/paragraph.py:79 knowledge/views/paragraph.py:80
#: knowledge/views/paragraph.py:81
msgid "Batch Generate Related"
msgstr "批量生成相關"

#: knowledge/views/paragraph.py:98 knowledge/views/paragraph.py:99
#: knowledge/views/paragraph.py:100
msgid "Modify paragraph data"
msgstr "修改段落數據"

#: knowledge/views/paragraph.py:121 knowledge/views/paragraph.py:122
#: knowledge/views/paragraph.py:123
msgid "Get paragraph details"
msgstr "獲取段落詳情"

#: knowledge/views/paragraph.py:143 knowledge/views/paragraph.py:144
#: knowledge/views/paragraph.py:145
msgid "Delete paragraph"
msgstr "刪除段落"

#: knowledge/views/paragraph.py:167 knowledge/views/paragraph.py:168
#: knowledge/views/paragraph.py:169
msgid "Add associated questions"
msgstr "添加關聯問題"

#: knowledge/views/paragraph.py:188 knowledge/views/paragraph.py:189
#: knowledge/views/paragraph.py:190
msgid "Get a list of paragraph questions"
msgstr "獲取段落問題列表"

#: knowledge/views/paragraph.py:211 knowledge/views/paragraph.py:212
#: knowledge/views/paragraph.py:213
msgid "Disassociation issue"
msgstr "取消關聯問題"

#: knowledge/views/paragraph.py:236 knowledge/views/paragraph.py:237
#: knowledge/views/paragraph.py:238
msgid "Related questions"
msgstr "關聯問題"

#: knowledge/views/paragraph.py:261 knowledge/views/paragraph.py:262
#: knowledge/views/paragraph.py:263
msgid "Get paragraph list by pagination"
msgstr "獲取段落列表"

#: knowledge/views/problem.py:21 knowledge/views/problem.py:22
#: knowledge/views/problem.py:23
msgid "Question list"
msgstr "問題列表"

#: knowledge/views/problem.py:26 knowledge/views/problem.py:48
#: knowledge/views/problem.py:65 knowledge/views/problem.py:88
#: knowledge/views/problem.py:107 knowledge/views/problem.py:125
#: knowledge/views/problem.py:146 knowledge/views/problem.py:168
msgid "Knowledge Base/Documentation/Paragraph/Question"
msgstr "知識庫/文檔/段落/問題"

#: knowledge/views/problem.py:42 knowledge/views/problem.py:43
#: knowledge/views/problem.py:44
msgid "Create question"
msgstr "創建問題"

#: knowledge/views/problem.py:60 knowledge/views/problem.py:61
#: knowledge/views/problem.py:62
msgid "Get a list of associated paragraphs"
msgstr "獲取關聯段落列表"

#: knowledge/views/problem.py:82 knowledge/views/problem.py:83
#: knowledge/views/problem.py:84
msgid "Batch associated paragraphs"
msgstr "批量關聯段落"

#: knowledge/views/problem.py:101 knowledge/views/problem.py:102
#: knowledge/views/problem.py:103
msgid "Batch deletion issues"
msgstr "批量刪除問題"

#: knowledge/views/problem.py:120 knowledge/views/problem.py:121
#: knowledge/views/problem.py:122
msgid "Delete question"
msgstr "刪除問題"

#: knowledge/views/problem.py:140 knowledge/views/problem.py:141
#: knowledge/views/problem.py:142
msgid "Modify question"
msgstr "修改問題"

#: knowledge/views/problem.py:163 knowledge/views/problem.py:164
#: knowledge/views/problem.py:165
msgid "Get the list of questions by page"
msgstr "分頁獲取問題列表"

#: maxkb/settings/base.py:85
msgid "Intelligent customer service platform"
msgstr "智能客服平臺"

#: models_provider/api/provide.py:17 models_provider/api/provide.py:23
#: models_provider/api/provide.py:28 models_provider/api/provide.py:30
#: models_provider/api/provide.py:82
#: models_provider/serializers/model_serializer.py:40
#: models_provider/serializers/model_serializer.py:218
#: models_provider/serializers/model_serializer.py:256
#: models_provider/serializers/model_serializer.py:321
msgid "model name"
msgstr "模型名稱"

#: models_provider/api/provide.py:18 models_provider/api/provide.py:38
#: models_provider/api/provide.py:76 models_provider/api/provide.py:104
#: models_provider/api/provide.py:126
#: models_provider/serializers/model_serializer.py:41
#: models_provider/serializers/model_serializer.py:257
#: models_provider/serializers/model_serializer.py:324
msgid "provider"
msgstr "供應商"

#: models_provider/api/provide.py:19
msgid "icon"
msgstr "圖標"

#: models_provider/api/provide.py:24
msgid "value"
msgstr "值"

#: models_provider/api/provide.py:29 models_provider/api/provide.py:70
#: models_provider/api/provide.py:98
#: models_provider/serializers/model_serializer.py:42
#: models_provider/serializers/model_serializer.py:220
#: models_provider/serializers/model_serializer.py:258
#: models_provider/serializers/model_serializer.py:322
msgid "model type"
msgstr "模型類型"

#: models_provider/api/provide.py:34 tools/serializers/tool.py:130
msgid "input type"
msgstr "輸入類型"

#: models_provider/api/provide.py:35
msgid "label"
msgstr "標籤"

#: models_provider/api/provide.py:36
msgid "text field"
msgstr "文本欄位"

#: models_provider/api/provide.py:37
msgid "value field"
msgstr "值"

#: models_provider/api/provide.py:39
msgid "method"
msgstr "方法"

#: models_provider/api/provide.py:40 tools/serializers/tool.py:115
#: tools/serializers/tool.py:129
msgid "required"
msgstr "必填"

#: models_provider/api/provide.py:41
msgid "default value"
msgstr "默認值"

#: models_provider/api/provide.py:42
msgid "relation show field dict"
msgstr "關係顯示欄位"

#: models_provider/api/provide.py:43
msgid "relation trigger field dict"
msgstr "關係觸發欄位"

#: models_provider/api/provide.py:44
msgid "trigger type"
msgstr "觸發類型"

#: models_provider/api/provide.py:45
msgid "attrs"
msgstr "屬性"

#: models_provider/api/provide.py:46
msgid "props info"
msgstr "props 信息"

#: models_provider/base_model_provider.py:60
msgid "Model type cannot be empty"
msgstr "模型類型不能為空"

#: models_provider/base_model_provider.py:85
msgid "The current platform does not support downloading models"
msgstr "當前平臺不支持下載模型"

#: models_provider/base_model_provider.py:143
msgid "LLM"
msgstr "大語言模型"

#: models_provider/base_model_provider.py:144
msgid "Embedding Model"
msgstr "向量模型"

#: models_provider/base_model_provider.py:145
msgid "Speech2Text"
msgstr "語音識別"

#: models_provider/base_model_provider.py:146
msgid "TTS"
msgstr "語音合成"

#: models_provider/base_model_provider.py:147
msgid "Vision Model"
msgstr "視覺模型"

#: models_provider/base_model_provider.py:148
msgid "Image Generation"
msgstr "圖片生成"

#: models_provider/base_model_provider.py:149
msgid "Rerank"
msgstr "重排模型"

#: models_provider/base_model_provider.py:223
msgid "The model does not support"
msgstr "模型不支持"

#: models_provider/impl/aliyun_bai_lian_model_provider/aliyun_bai_lian_model_provider.py:42
msgid ""
"With the GTE-Rerank text sorting series model developed by Alibaba Tongyi "
"Lab, developers can integrate high-quality text retrieval and sorting "
"through the LlamaIndex framework."
msgstr ""
"阿里巴巴通義實驗室開發的GTE-Rerank文本排序系列模型，開發者可以通過LlamaIndex"
"框架進行集成高質量文本檢索、排序。"

#: models_provider/impl/aliyun_bai_lian_model_provider/aliyun_bai_lian_model_provider.py:45
msgid ""
"Chinese (including various dialects such as Cantonese), English, Japanese, "
"and Korean support free switching between multiple languages."
msgstr "中文（含粵語等各種方言）、英文、日語、韓語支持多個語種自由切換"

#: models_provider/impl/aliyun_bai_lian_model_provider/aliyun_bai_lian_model_provider.py:48
msgid ""
"CosyVoice is based on a new generation of large generative speech models, "
"which can predict emotions, intonation, rhythm, etc. based on context, and "
"has better anthropomorphic effects."
msgstr ""
"CosyVoice基於新一代生成式語音大模型，能根據上下文預測情緒、語調、韻律等，具有"
"更好的擬人效果"

#: models_provider/impl/aliyun_bai_lian_model_provider/aliyun_bai_lian_model_provider.py:51
msgid ""
"Universal text vector is Tongyi Lab's multi-language text unified vector "
"model based on the LLM base. It provides high-level vector services for "
"multiple mainstream languages around the world and helps developers quickly "
"convert text data into high-quality vector data."
msgstr ""
"通用文本向量，是通義實驗室基於LLM底座的多語言文本統一向量模型，面向全球多個主"
"流語種，提供高水準的向量服務，幫助開發者將文本數據快速轉換為高質量的向量數"
"據。"

#: models_provider/impl/aliyun_bai_lian_model_provider/aliyun_bai_lian_model_provider.py:69
msgid ""
"Tongyi Wanxiang - a large image model for text generation, supports "
"bilingual input in Chinese and English, and supports the input of reference "
"pictures for reference content or reference style migration. Key styles "
"include but are not limited to watercolor, oil painting, Chinese painting, "
"sketch, flat illustration, two-dimensional, and 3D. Cartoon."
msgstr ""
"通義萬相-文本生成圖像大模型，支持中英文雙語輸入，支持輸入參考圖片進行參考內容"
"或者參考風格遷移，重點風格包括但不限於水彩、油畫、中國畫、素描、扁平插畫、二"
"次元、3D卡通。"

#: models_provider/impl/aliyun_bai_lian_model_provider/aliyun_bai_lian_model_provider.py:95
msgid "Alibaba Cloud Bailian"
msgstr "阿里雲百鍊"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/embedding.py:53
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/image.py:50
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/llm.py:74
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/llm.py:77
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/reranker.py:61
#: models_provider/impl/aliyun_bai_lian_model_provider/model/tti.py:43
#: models_provider/impl/aliyun_bai_lian_model_provider/model/tts.py:37
#: models_provider/impl/anthropic_model_provider/credential/image.py:33
#: models_provider/impl/anthropic_model_provider/credential/llm.py:57
#: models_provider/impl/aws_bedrock_model_provider/credential/embedding.py:34
#: models_provider/impl/aws_bedrock_model_provider/credential/llm.py:53
#: models_provider/impl/azure_model_provider/credential/embedding.py:37
#: models_provider/impl/azure_model_provider/credential/image.py:40
#: models_provider/impl/azure_model_provider/credential/llm.py:69
#: models_provider/impl/deepseek_model_provider/credential/llm.py:57
#: models_provider/impl/gemini_model_provider/credential/embedding.py:36
#: models_provider/impl/gemini_model_provider/credential/image.py:32
#: models_provider/impl/gemini_model_provider/credential/llm.py:57
#: models_provider/impl/gemini_model_provider/model/stt.py:43
#: models_provider/impl/kimi_model_provider/credential/llm.py:57
#: models_provider/impl/local_model_provider/credential/embedding.py:36
#: models_provider/impl/local_model_provider/credential/reranker.py:37
#: models_provider/impl/ollama_model_provider/credential/embedding.py:37
#: models_provider/impl/ollama_model_provider/credential/reranker.py:44
#: models_provider/impl/openai_model_provider/credential/embedding.py:36
#: models_provider/impl/openai_model_provider/credential/image.py:35
#: models_provider/impl/openai_model_provider/credential/llm.py:59
#: models_provider/impl/siliconCloud_model_provider/credential/embedding.py:36
#: models_provider/impl/siliconCloud_model_provider/credential/image.py:35
#: models_provider/impl/siliconCloud_model_provider/credential/llm.py:58
#: models_provider/impl/siliconCloud_model_provider/credential/reranker.py:37
#: models_provider/impl/tencent_cloud_model_provider/credential/llm.py:58
#: models_provider/impl/tencent_model_provider/credential/embedding.py:23
#: models_provider/impl/tencent_model_provider/credential/image.py:37
#: models_provider/impl/tencent_model_provider/credential/llm.py:51
#: models_provider/impl/tencent_model_provider/model/tti.py:54
#: models_provider/impl/vllm_model_provider/credential/embedding.py:36
#: models_provider/impl/vllm_model_provider/credential/llm.py:50
#: models_provider/impl/volcanic_engine_model_provider/credential/embedding.py:36
#: models_provider/impl/volcanic_engine_model_provider/credential/image.py:32
#: models_provider/impl/volcanic_engine_model_provider/credential/llm.py:57
#: models_provider/impl/volcanic_engine_model_provider/model/tts.py:77
#: models_provider/impl/wenxin_model_provider/credential/embedding.py:31
#: models_provider/impl/wenxin_model_provider/credential/llm.py:60
#: models_provider/impl/xf_model_provider/credential/embedding.py:31
#: models_provider/impl/xf_model_provider/credential/llm.py:76
#: models_provider/impl/xf_model_provider/model/tts.py:101
#: models_provider/impl/xinference_model_provider/credential/embedding.py:31
#: models_provider/impl/xinference_model_provider/credential/image.py:32
#: models_provider/impl/xinference_model_provider/credential/llm.py:50
#: models_provider/impl/xinference_model_provider/credential/reranker.py:34
#: models_provider/impl/xinference_model_provider/model/tts.py:44
#: models_provider/impl/zhipu_model_provider/credential/image.py:31
#: models_provider/impl/zhipu_model_provider/credential/llm.py:56
#: models_provider/impl/zhipu_model_provider/model/tti.py:49
msgid "Hello"
msgstr "你好"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/image.py:36
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/llm.py:59
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/reranker.py:46
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/stt.py:44
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:96
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:89
#: models_provider/impl/anthropic_model_provider/credential/image.py:23
#: models_provider/impl/anthropic_model_provider/credential/llm.py:47
#: models_provider/impl/aws_bedrock_model_provider/credential/embedding.py:21
#: models_provider/impl/aws_bedrock_model_provider/credential/llm.py:40
#: models_provider/impl/azure_model_provider/credential/embedding.py:27
#: models_provider/impl/azure_model_provider/credential/image.py:30
#: models_provider/impl/azure_model_provider/credential/llm.py:59
#: models_provider/impl/azure_model_provider/credential/stt.py:23
#: models_provider/impl/azure_model_provider/credential/tti.py:58
#: models_provider/impl/azure_model_provider/credential/tts.py:41
#: models_provider/impl/deepseek_model_provider/credential/llm.py:47
#: models_provider/impl/gemini_model_provider/credential/embedding.py:26
#: models_provider/impl/gemini_model_provider/credential/image.py:22
#: models_provider/impl/gemini_model_provider/credential/llm.py:47
#: models_provider/impl/gemini_model_provider/credential/stt.py:21
#: models_provider/impl/kimi_model_provider/credential/llm.py:47
#: models_provider/impl/local_model_provider/credential/embedding.py:27
#: models_provider/impl/local_model_provider/credential/reranker.py:28
#: models_provider/impl/ollama_model_provider/credential/embedding.py:26
#: models_provider/impl/ollama_model_provider/credential/image.py:19
#: models_provider/impl/ollama_model_provider/credential/llm.py:44
#: models_provider/impl/ollama_model_provider/credential/reranker.py:27
#: models_provider/impl/ollama_model_provider/credential/reranker.py:31
#: models_provider/impl/openai_model_provider/credential/embedding.py:26
#: models_provider/impl/openai_model_provider/credential/image.py:25
#: models_provider/impl/openai_model_provider/credential/llm.py:48
#: models_provider/impl/openai_model_provider/credential/stt.py:22
#: models_provider/impl/openai_model_provider/credential/tti.py:61
#: models_provider/impl/openai_model_provider/credential/tts.py:40
#: models_provider/impl/siliconCloud_model_provider/credential/embedding.py:26
#: models_provider/impl/siliconCloud_model_provider/credential/image.py:25
#: models_provider/impl/siliconCloud_model_provider/credential/llm.py:47
#: models_provider/impl/siliconCloud_model_provider/credential/reranker.py:28
#: models_provider/impl/siliconCloud_model_provider/credential/stt.py:22
#: models_provider/impl/siliconCloud_model_provider/credential/tti.py:61
#: models_provider/impl/siliconCloud_model_provider/credential/tts.py:22
#: models_provider/impl/tencent_cloud_model_provider/credential/llm.py:47
#: models_provider/impl/tencent_model_provider/credential/embedding.py:19
#: models_provider/impl/tencent_model_provider/credential/image.py:28
#: models_provider/impl/tencent_model_provider/credential/llm.py:31
#: models_provider/impl/tencent_model_provider/credential/tti.py:78
#: models_provider/impl/vllm_model_provider/credential/embedding.py:26
#: models_provider/impl/vllm_model_provider/credential/image.py:22
#: models_provider/impl/vllm_model_provider/credential/llm.py:39
#: models_provider/impl/volcanic_engine_model_provider/credential/embedding.py:26
#: models_provider/impl/volcanic_engine_model_provider/credential/image.py:22
#: models_provider/impl/volcanic_engine_model_provider/credential/llm.py:47
#: models_provider/impl/volcanic_engine_model_provider/credential/stt.py:25
#: models_provider/impl/volcanic_engine_model_provider/credential/tti.py:41
#: models_provider/impl/volcanic_engine_model_provider/credential/tts.py:51
#: models_provider/impl/wenxin_model_provider/credential/embedding.py:27
#: models_provider/impl/wenxin_model_provider/credential/llm.py:46
#: models_provider/impl/xf_model_provider/credential/embedding.py:27
#: models_provider/impl/xf_model_provider/credential/image.py:29
#: models_provider/impl/xf_model_provider/credential/llm.py:66
#: models_provider/impl/xf_model_provider/credential/stt.py:24
#: models_provider/impl/xf_model_provider/credential/tts.py:47
#: models_provider/impl/xinference_model_provider/credential/embedding.py:19
#: models_provider/impl/xinference_model_provider/credential/image.py:22
#: models_provider/impl/xinference_model_provider/credential/llm.py:39
#: models_provider/impl/xinference_model_provider/credential/reranker.py:25
#: models_provider/impl/xinference_model_provider/credential/stt.py:21
#: models_provider/impl/xinference_model_provider/credential/tti.py:59
#: models_provider/impl/xinference_model_provider/credential/tts.py:39
#: models_provider/impl/zhipu_model_provider/credential/image.py:21
#: models_provider/impl/zhipu_model_provider/credential/llm.py:47
#: models_provider/impl/zhipu_model_provider/credential/tti.py:40
#, python-brace-format
msgid "{model_type} Model type is not supported"
msgstr "{model_type} 模型類型不支持"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/image.py:44
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/llm.py:67
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/reranker.py:55
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/stt.py:53
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:105
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:98
#, python-brace-format
msgid "{key} is required"
msgstr "{key} 是必填項"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/image.py:60
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/llm.py:85
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/reranker.py:69
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/stt.py:67
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:121
#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:113
#: models_provider/impl/anthropic_model_provider/credential/image.py:43
#: models_provider/impl/anthropic_model_provider/credential/llm.py:65
#: models_provider/impl/aws_bedrock_model_provider/credential/embedding.py:42
#: models_provider/impl/aws_bedrock_model_provider/credential/llm.py:61
#: models_provider/impl/azure_model_provider/credential/image.py:50
#: models_provider/impl/azure_model_provider/credential/stt.py:40
#: models_provider/impl/azure_model_provider/credential/tti.py:77
#: models_provider/impl/azure_model_provider/credential/tts.py:58
#: models_provider/impl/deepseek_model_provider/credential/llm.py:65
#: models_provider/impl/gemini_model_provider/credential/embedding.py:43
#: models_provider/impl/gemini_model_provider/credential/image.py:42
#: models_provider/impl/gemini_model_provider/credential/llm.py:66
#: models_provider/impl/gemini_model_provider/credential/stt.py:38
#: models_provider/impl/kimi_model_provider/credential/llm.py:64
#: models_provider/impl/local_model_provider/credential/embedding.py:44
#: models_provider/impl/local_model_provider/credential/reranker.py:45
#: models_provider/impl/ollama_model_provider/credential/reranker.py:51
#: models_provider/impl/openai_model_provider/credential/embedding.py:43
#: models_provider/impl/openai_model_provider/credential/image.py:45
#: models_provider/impl/openai_model_provider/credential/llm.py:67
#: models_provider/impl/openai_model_provider/credential/stt.py:39
#: models_provider/impl/openai_model_provider/credential/tti.py:80
#: models_provider/impl/openai_model_provider/credential/tts.py:58
#: models_provider/impl/siliconCloud_model_provider/credential/embedding.py:43
#: models_provider/impl/siliconCloud_model_provider/credential/image.py:45
#: models_provider/impl/siliconCloud_model_provider/credential/llm.py:66
#: models_provider/impl/siliconCloud_model_provider/credential/reranker.py:44
#: models_provider/impl/siliconCloud_model_provider/credential/stt.py:39
#: models_provider/impl/siliconCloud_model_provider/credential/tti.py:80
#: models_provider/impl/siliconCloud_model_provider/credential/tts.py:40
#: models_provider/impl/tencent_cloud_model_provider/credential/llm.py:66
#: models_provider/impl/tencent_model_provider/credential/embedding.py:30
#: models_provider/impl/tencent_model_provider/credential/image.py:47
#: models_provider/impl/tencent_model_provider/credential/llm.py:57
#: models_provider/impl/tencent_model_provider/credential/tti.py:104
#: models_provider/impl/vllm_model_provider/credential/embedding.py:43
#: models_provider/impl/vllm_model_provider/credential/image.py:42
#: models_provider/impl/vllm_model_provider/credential/llm.py:55
#: models_provider/impl/volcanic_engine_model_provider/credential/embedding.py:43
#: models_provider/impl/volcanic_engine_model_provider/credential/image.py:42
#: models_provider/impl/volcanic_engine_model_provider/credential/llm.py:66
#: models_provider/impl/volcanic_engine_model_provider/credential/stt.py:42
#: models_provider/impl/volcanic_engine_model_provider/credential/tti.py:58
#: models_provider/impl/volcanic_engine_model_provider/credential/tts.py:68
#: models_provider/impl/wenxin_model_provider/credential/embedding.py:38
#: models_provider/impl/xf_model_provider/credential/embedding.py:38
#: models_provider/impl/xf_model_provider/credential/image.py:50
#: models_provider/impl/xf_model_provider/credential/llm.py:84
#: models_provider/impl/xf_model_provider/credential/stt.py:41
#: models_provider/impl/xf_model_provider/credential/tts.py:65
#: models_provider/impl/xinference_model_provider/credential/image.py:41
#: models_provider/impl/xinference_model_provider/credential/reranker.py:40
#: models_provider/impl/xinference_model_provider/credential/stt.py:37
#: models_provider/impl/xinference_model_provider/credential/tti.py:77
#: models_provider/impl/xinference_model_provider/credential/tts.py:56
#: models_provider/impl/zhipu_model_provider/credential/image.py:41
#: models_provider/impl/zhipu_model_provider/credential/llm.py:64
#: models_provider/impl/zhipu_model_provider/credential/tti.py:59
#, python-brace-format
msgid ""
"Verification failed, please check whether the parameters are correct: {error}"
msgstr "認證失敗，請檢查參數是否正確：{error}"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/llm.py:17
#: models_provider/impl/anthropic_model_provider/credential/llm.py:22
#: models_provider/impl/aws_bedrock_model_provider/credential/llm.py:14
#: models_provider/impl/azure_model_provider/credential/llm.py:23
#: models_provider/impl/deepseek_model_provider/credential/llm.py:22
#: models_provider/impl/gemini_model_provider/credential/llm.py:22
#: models_provider/impl/kimi_model_provider/credential/llm.py:22
#: models_provider/impl/ollama_model_provider/credential/llm.py:20
#: models_provider/impl/openai_model_provider/credential/llm.py:23
#: models_provider/impl/siliconCloud_model_provider/credential/llm.py:22
#: models_provider/impl/tencent_cloud_model_provider/credential/llm.py:22
#: models_provider/impl/tencent_model_provider/credential/llm.py:14
#: models_provider/impl/vllm_model_provider/credential/llm.py:15
#: models_provider/impl/volcanic_engine_model_provider/credential/llm.py:22
#: models_provider/impl/wenxin_model_provider/credential/llm.py:22
#: models_provider/impl/xf_model_provider/credential/llm.py:22
#: models_provider/impl/xf_model_provider/credential/llm.py:41
#: models_provider/impl/xinference_model_provider/credential/llm.py:15
#: models_provider/impl/zhipu_model_provider/credential/llm.py:22
msgid "Temperature"
msgstr "溫度"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/llm.py:18
#: models_provider/impl/anthropic_model_provider/credential/llm.py:23
#: models_provider/impl/aws_bedrock_model_provider/credential/llm.py:15
#: models_provider/impl/azure_model_provider/credential/llm.py:24
#: models_provider/impl/deepseek_model_provider/credential/llm.py:23
#: models_provider/impl/gemini_model_provider/credential/llm.py:23
#: models_provider/impl/kimi_model_provider/credential/llm.py:23
#: models_provider/impl/ollama_model_provider/credential/llm.py:21
#: models_provider/impl/openai_model_provider/credential/llm.py:24
#: models_provider/impl/siliconCloud_model_provider/credential/llm.py:23
#: models_provider/impl/tencent_cloud_model_provider/credential/llm.py:23
#: models_provider/impl/tencent_model_provider/credential/llm.py:15
#: models_provider/impl/vllm_model_provider/credential/llm.py:16
#: models_provider/impl/volcanic_engine_model_provider/credential/llm.py:23
#: models_provider/impl/wenxin_model_provider/credential/llm.py:23
#: models_provider/impl/xf_model_provider/credential/llm.py:23
#: models_provider/impl/xf_model_provider/credential/llm.py:42
#: models_provider/impl/xinference_model_provider/credential/llm.py:16
#: models_provider/impl/zhipu_model_provider/credential/llm.py:23
msgid ""
"Higher values make the output more random, while lower values make it more "
"focused and deterministic"
msgstr "較高的數值會使輸出更加隨機，而較低的數值會使其更加集中和確定"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/llm.py:30
#: models_provider/impl/anthropic_model_provider/credential/llm.py:31
#: models_provider/impl/aws_bedrock_model_provider/credential/llm.py:23
#: models_provider/impl/azure_model_provider/credential/llm.py:32
#: models_provider/impl/azure_model_provider/credential/llm.py:43
#: models_provider/impl/deepseek_model_provider/credential/llm.py:31
#: models_provider/impl/gemini_model_provider/credential/llm.py:31
#: models_provider/impl/kimi_model_provider/credential/llm.py:31
#: models_provider/impl/ollama_model_provider/credential/llm.py:29
#: models_provider/impl/openai_model_provider/credential/llm.py:32
#: models_provider/impl/siliconCloud_model_provider/credential/llm.py:31
#: models_provider/impl/tencent_cloud_model_provider/credential/llm.py:31
#: models_provider/impl/vllm_model_provider/credential/llm.py:24
#: models_provider/impl/volcanic_engine_model_provider/credential/llm.py:31
#: models_provider/impl/wenxin_model_provider/credential/llm.py:31
#: models_provider/impl/xf_model_provider/credential/llm.py:31
#: models_provider/impl/xf_model_provider/credential/llm.py:50
#: models_provider/impl/xinference_model_provider/credential/llm.py:24
#: models_provider/impl/zhipu_model_provider/credential/llm.py:31
msgid "Output the maximum Tokens"
msgstr "輸出最大Token數"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/llm.py:31
msgid "Specify the maximum number of tokens that the model can generate."
msgstr "指定模型可以生成的最大 tokens 數"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/llm.py:43
#: models_provider/impl/anthropic_model_provider/credential/image.py:15
#: models_provider/impl/anthropic_model_provider/credential/llm.py:74
msgid "API URL"
msgstr ""

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/llm.py:44
#: models_provider/impl/anthropic_model_provider/credential/image.py:16
#: models_provider/impl/anthropic_model_provider/credential/llm.py:75
msgid "API Key"
msgstr ""

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:20
#: models_provider/impl/azure_model_provider/credential/tti.py:15
#: models_provider/impl/openai_model_provider/credential/tti.py:15
#: models_provider/impl/siliconCloud_model_provider/credential/tti.py:15
#: models_provider/impl/volcanic_engine_model_provider/credential/tti.py:15
#: models_provider/impl/xinference_model_provider/credential/tti.py:14
#: models_provider/impl/zhipu_model_provider/credential/tti.py:15
msgid "Image size"
msgstr "每頁大小"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:20
#: models_provider/impl/azure_model_provider/credential/tti.py:15
msgid "Specify the size of the generated image, such as: 1024x1024"
msgstr "指定生成圖片的尺寸, 如: 1024x1024"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:34
#: models_provider/impl/azure_model_provider/credential/tti.py:40
#: models_provider/impl/openai_model_provider/credential/tti.py:43
#: models_provider/impl/siliconCloud_model_provider/credential/tti.py:43
#: models_provider/impl/xinference_model_provider/credential/tti.py:41
msgid "Number of pictures"
msgstr "圖片數量"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:34
#: models_provider/impl/azure_model_provider/credential/tti.py:40
msgid "Specify the number of generated images"
msgstr "指定生成圖片的數量"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:44
msgid "Style"
msgstr "風格"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:44
msgid "Specify the style of generated images"
msgstr "指定生成圖片的風格"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:48
msgid "Default value, the image style is randomly output by the model"
msgstr "默認值，圖片風格由模型隨機輸出"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:49
msgid "photography"
msgstr "攝影"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:50
msgid "Portraits"
msgstr "人像寫真"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:51
msgid "3D cartoon"
msgstr "3D卡通"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:52
msgid "animation"
msgstr "動畫"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:53
msgid "painting"
msgstr "油畫"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:54
msgid "watercolor"
msgstr "水彩"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:55
msgid "sketch"
msgstr "素描"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:56
msgid "Chinese painting"
msgstr "中國畫"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tti.py:57
msgid "flat illustration"
msgstr "扁平插畫"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:20
msgid "Timbre"
msgstr "音色"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:20
#: models_provider/impl/volcanic_engine_model_provider/credential/tts.py:15
msgid "Chinese sounds can support mixed scenes of Chinese and English"
msgstr "中文音色支持中英文混合場景"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:26
msgid "Long Xiaochun"
msgstr "龍小淳"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:27
msgid "Long Xiaoxia"
msgstr "龍小夏"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:28
msgid "Long Xiaochen"
msgstr "龍小誠"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:29
msgid "Long Xiaobai"
msgstr "龍小白"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:30
msgid "Long Laotie"
msgstr "龍老鐵"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:31
msgid "Long Shu"
msgstr "龍書"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:32
msgid "Long Shuo"
msgstr "龍碩"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:33
msgid "Long Jing"
msgstr "龍婧"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:34
msgid "Long Miao"
msgstr "龍妙"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:35
msgid "Long Yue"
msgstr "龍悅"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:36
msgid "Long Yuan"
msgstr "龍媛"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:37
msgid "Long Fei"
msgstr "龍飛"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:38
msgid "Long Jielidou"
msgstr "龍傑力豆"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:39
msgid "Long Tong"
msgstr "龍彤"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:40
msgid "Long Xiang"
msgstr "龍祥"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:47
msgid "Speaking speed"
msgstr "語速"

#: models_provider/impl/aliyun_bai_lian_model_provider/credential/tts.py:47
msgid "[0.5, 2], the default is 1, usually one decimal place is enough"
msgstr "[0.5,2]，默認為1，通常一位小數就足夠了"

#: models_provider/impl/anthropic_model_provider/credential/image.py:28
#: models_provider/impl/anthropic_model_provider/credential/llm.py:52
#: models_provider/impl/azure_model_provider/credential/embedding.py:32
#: models_provider/impl/azure_model_provider/credential/image.py:35
#: models_provider/impl/azure_model_provider/credential/llm.py:64
#: models_provider/impl/azure_model_provider/credential/stt.py:28
#: models_provider/impl/azure_model_provider/credential/tti.py:63
#: models_provider/impl/azure_model_provider/credential/tts.py:46
#: models_provider/impl/deepseek_model_provider/credential/llm.py:52
#: models_provider/impl/gemini_model_provider/credential/embedding.py:31
#: models_provider/impl/gemini_model_provider/credential/image.py:27
#: models_provider/impl/gemini_model_provider/credential/llm.py:52
#: models_provider/impl/gemini_model_provider/credential/stt.py:26
#: models_provider/impl/kimi_model_provider/credential/llm.py:52
#: models_provider/impl/local_model_provider/credential/embedding.py:31
#: models_provider/impl/local_model_provider/credential/reranker.py:32
#: models_provider/impl/ollama_model_provider/credential/embedding.py:46
#: models_provider/impl/ollama_model_provider/credential/llm.py:62
#: models_provider/impl/ollama_model_provider/credential/reranker.py:63
#: models_provider/impl/openai_model_provider/credential/embedding.py:31
#: models_provider/impl/openai_model_provider/credential/image.py:30
#: models_provider/impl/openai_model_provider/credential/llm.py:53
#: models_provider/impl/openai_model_provider/credential/stt.py:27
#: models_provider/impl/openai_model_provider/credential/tti.py:66
#: models_provider/impl/openai_model_provider/credential/tts.py:45
#: models_provider/impl/siliconCloud_model_provider/credential/embedding.py:31
#: models_provider/impl/siliconCloud_model_provider/credential/image.py:30
#: models_provider/impl/siliconCloud_model_provider/credential/llm.py:52
#: models_provider/impl/siliconCloud_model_provider/credential/reranker.py:32
#: models_provider/impl/siliconCloud_model_provider/credential/stt.py:27
#: models_provider/impl/siliconCloud_model_provider/credential/tti.py:66
#: models_provider/impl/siliconCloud_model_provider/credential/tts.py:27
#: models_provider/impl/tencent_cloud_model_provider/credential/llm.py:52
#: models_provider/impl/tencent_model_provider/credential/image.py:32
#: models_provider/impl/vllm_model_provider/credential/embedding.py:31
#: models_provider/impl/vllm_model_provider/credential/image.py:27
#: models_provider/impl/vllm_model_provider/credential/llm.py:65
#: models_provider/impl/volcanic_engine_model_provider/credential/embedding.py:31
#: models_provider/impl/volcanic_engine_model_provider/credential/image.py:27
#: models_provider/impl/volcanic_engine_model_provider/credential/llm.py:52
#: models_provider/impl/volcanic_engine_model_provider/credential/stt.py:30
#: models_provider/impl/volcanic_engine_model_provider/credential/tti.py:46
#: models_provider/impl/volcanic_engine_model_provider/credential/tts.py:56
#: models_provider/impl/wenxin_model_provider/credential/llm.py:55
#: models_provider/impl/wenxin_model_provider/credential/llm.py:72
#: models_provider/impl/xf_model_provider/credential/image.py:34
#: models_provider/impl/xf_model_provider/credential/llm.py:71
#: models_provider/impl/xf_model_provider/credential/stt.py:29
#: models_provider/impl/xf_model_provider/credential/tts.py:52
#: models_provider/impl/xinference_model_provider/credential/embedding.py:40
#: models_provider/impl/xinference_model_provider/credential/image.py:27
#: models_provider/impl/xinference_model_provider/credential/llm.py:59
#: models_provider/impl/xinference_model_provider/credential/reranker.py:29
#: models_provider/impl/xinference_model_provider/credential/stt.py:26
#: models_provider/impl/xinference_model_provider/credential/tti.py:64
#: models_provider/impl/xinference_model_provider/credential/tts.py:44
#: models_provider/impl/zhipu_model_provider/credential/image.py:26
#: models_provider/impl/zhipu_model_provider/credential/llm.py:51
#: models_provider/impl/zhipu_model_provider/credential/tti.py:45
#, python-brace-format
msgid "{key}  is required"
msgstr "{key} 是必填項"

#: models_provider/impl/anthropic_model_provider/credential/llm.py:32
#: models_provider/impl/aws_bedrock_model_provider/credential/llm.py:24
#: models_provider/impl/azure_model_provider/credential/llm.py:33
#: models_provider/impl/azure_model_provider/credential/llm.py:44
#: models_provider/impl/deepseek_model_provider/credential/llm.py:32
#: models_provider/impl/gemini_model_provider/credential/llm.py:32
#: models_provider/impl/kimi_model_provider/credential/llm.py:32
#: models_provider/impl/ollama_model_provider/credential/llm.py:30
#: models_provider/impl/openai_model_provider/credential/llm.py:33
#: models_provider/impl/siliconCloud_model_provider/credential/llm.py:32
#: models_provider/impl/tencent_cloud_model_provider/credential/llm.py:32
#: models_provider/impl/vllm_model_provider/credential/llm.py:25
#: models_provider/impl/volcanic_engine_model_provider/credential/llm.py:32
#: models_provider/impl/wenxin_model_provider/credential/llm.py:32
#: models_provider/impl/xf_model_provider/credential/llm.py:32
#: models_provider/impl/xf_model_provider/credential/llm.py:51
#: models_provider/impl/xinference_model_provider/credential/llm.py:25
#: models_provider/impl/zhipu_model_provider/credential/llm.py:32
msgid "Specify the maximum number of tokens that the model can generate"
msgstr "指定模型可以生成的最大 tokens 數"

#: models_provider/impl/aws_bedrock_model_provider/aws_bedrock_model_provider.py:36
msgid ""
"An update to Claude 2 that doubles the context window and improves "
"reliability, hallucination rates, and evidence-based accuracy in long "
"documents and RAG contexts."
msgstr ""
"Claude 2 的更新，採用雙倍的上下文窗口，並在長文檔和 RAG 上下文中提高可靠性、"
"幻覺率和循證準確性。"

#: models_provider/impl/aws_bedrock_model_provider/aws_bedrock_model_provider.py:43
msgid ""
"Anthropic is a powerful model that can handle a variety of tasks, from "
"complex dialogue and creative content generation to detailed command "
"obedience."
msgstr ""
"Anthropic 功能強大的模型，可處理各種任務，從複雜的對話和創意內容生成到詳細的"
"指令服從。"

#: models_provider/impl/aws_bedrock_model_provider/aws_bedrock_model_provider.py:50
msgid ""
"The Claude 3 Haiku is Anthropic's fastest and most compact model, with near-"
"instant responsiveness. The model can answer simple queries and requests "
"quickly. Customers will be able to build seamless AI experiences that mimic "
"human interactions. Claude 3 Haiku can process images and return text "
"output, and provides 200K context windows."
msgstr ""
"Claude 3 Haiku 是 Anthropic 最快速、最緊湊的模型，具有近乎即時的響應能力。該"
"模型可以快速回答簡單的查詢和請求。客戶將能夠構建模仿人類交互的無縫人工智慧體"
"驗。 Claude 3 Haiku 可以處理圖像和返回文本輸出，並且提供 200K 上下文窗口。"

#: models_provider/impl/aws_bedrock_model_provider/aws_bedrock_model_provider.py:57
msgid ""
"The Claude 3 Sonnet model from Anthropic strikes the ideal balance between "
"intelligence and speed, especially when it comes to handling enterprise "
"workloads. This model offers maximum utility while being priced lower than "
"competing products, and it's been engineered to be a solid choice for "
"deploying AI at scale."
msgstr ""
"Anthropic 推出的 Claude 3 Sonnet 模型在智能和速度之間取得理想的平衡，尤其是在"
"處理企業工作負載方面。該模型提供最大的效用，同時價格低於競爭產品，並且其經過"
"精心設計，是大規模部署人工智慧的可靠選擇。"

#: models_provider/impl/aws_bedrock_model_provider/aws_bedrock_model_provider.py:64
msgid ""
"The Claude 3.5 Sonnet raises the industry standard for intelligence, "
"outperforming competing models and the Claude 3 Opus in extensive "
"evaluations, with the speed and cost-effectiveness of our mid-range models."
msgstr ""
"Claude 3.5 Sonnet提高了智能的行業標準，在廣泛的評估中超越了競爭對手的型號和"
"Claude 3 Opus，具有我們中端型號的速度和成本效益。"

#: models_provider/impl/aws_bedrock_model_provider/aws_bedrock_model_provider.py:71
msgid ""
"A faster, more affordable but still very powerful model that can handle a "
"range of tasks including casual conversation, text analysis, summarization "
"and document question answering."
msgstr ""
"一種更快速、更實惠但仍然非常強大的模型，它可以處理一系列任務，包括隨意對話、"
"文本分析、摘要和文檔問題回答。"

#: models_provider/impl/aws_bedrock_model_provider/aws_bedrock_model_provider.py:78
msgid ""
"Titan Text Premier is the most powerful and advanced model in the Titan Text "
"series, designed to deliver exceptional performance for a variety of "
"enterprise applications. With its cutting-edge features, it delivers greater "
"accuracy and outstanding results, making it an excellent choice for "
"organizations looking for a top-notch text processing solution."
msgstr ""
"Titan Text Premier 是 Titan Text 系列中功能強大且先進的型號，旨在為各種企業應"
"用程序提供卓越的性能。憑藉其尖端功能，它提供了更高的準確性和出色的結果，使其"
"成為尋求一流文本處理解決方案的組織的絕佳選擇。"

#: models_provider/impl/aws_bedrock_model_provider/aws_bedrock_model_provider.py:85
msgid ""
"Amazon Titan Text Lite is a lightweight, efficient model ideal for fine-"
"tuning English-language tasks, including summarization and copywriting, "
"where customers require smaller, more cost-effective, and highly "
"customizable models."
msgstr ""
"Amazon Titan Text Lite 是一種輕量級的高效模型，非常適合英語任務的微調，包括摘"
"要和文案寫作等，在這種場景下，客戶需要更小、更經濟高效且高度可定製的模型"

#: models_provider/impl/aws_bedrock_model_provider/aws_bedrock_model_provider.py:91
msgid ""
"Amazon Titan Text Express has context lengths of up to 8,000 tokens, making "
"it ideal for a variety of high-level general language tasks, such as open-"
"ended text generation and conversational chat, as well as support in "
"retrieval-augmented generation (RAG). At launch, the model is optimized for "
"English, but other languages are supported."
msgstr ""
"Amazon Titan Text Express 的上下文長度長達 8000 個 tokens，因而非常適合各種高"
"級常規語言任務，例如開放式文本生成和對話式聊天，以及檢索增強生成（RAG）中的支"
"持。在發布時，該模型針對英語進行了優化，但也支持其他語言。"

#: models_provider/impl/aws_bedrock_model_provider/aws_bedrock_model_provider.py:97
msgid ""
"7B dense converter for rapid deployment and easy customization. Small in "
"size yet powerful in a variety of use cases. Supports English and code, as "
"well as 32k context windows."
msgstr ""
"7B 密集型轉換器，可快速部署，易於定製。體積雖小，但功能強大，適用於各種用例。"
"支持英語和代碼，以及 32k 的上下文窗口。"

#: models_provider/impl/aws_bedrock_model_provider/aws_bedrock_model_provider.py:103
msgid ""
"Advanced Mistral AI large-scale language model capable of handling any "
"language task, including complex multilingual reasoning, text understanding, "
"transformation, and code generation."
msgstr ""
"先進的 Mistral AI 大型語言模型，能夠處理任何語言任務，包括複雜的多語言推理、"
"文本理解、轉換和代碼生成。"

#: models_provider/impl/aws_bedrock_model_provider/aws_bedrock_model_provider.py:109
msgid ""
"Ideal for content creation, conversational AI, language understanding, R&D, "
"and enterprise applications"
msgstr "非常適合內容創作、會話式人工智慧、語言理解、研發和企業應用"

#: models_provider/impl/aws_bedrock_model_provider/aws_bedrock_model_provider.py:115
msgid ""
"Ideal for limited computing power and resources, edge devices, and faster "
"training times."
msgstr "非常適合有限的計算能力和資源、邊緣設備和更快的訓練時間。"

#: models_provider/impl/aws_bedrock_model_provider/aws_bedrock_model_provider.py:123
msgid ""
"Titan Embed Text is the largest embedding model in the Amazon Titan Embed "
"series and can handle various text embedding tasks, such as text "
"classification, text similarity calculation, etc."
msgstr ""
"Titan Embed Text 是 Amazon Titan Embed 系列中最大的嵌入模型，可以處理各種文本"
"嵌入任務，如文本分類、文本相似度計算等。"

#: models_provider/impl/aws_bedrock_model_provider/credential/embedding.py:28
#: models_provider/impl/aws_bedrock_model_provider/credential/llm.py:47
#, python-brace-format
msgid "The following fields are required: {keys}"
msgstr "以下欄位是必填項: {keys}"

#: models_provider/impl/azure_model_provider/credential/embedding.py:44
#: models_provider/impl/azure_model_provider/credential/llm.py:76
msgid "Verification failed, please check whether the parameters are correct"
msgstr "認證失敗，請檢查參數是否正確"

#: models_provider/impl/azure_model_provider/credential/tti.py:28
#: models_provider/impl/openai_model_provider/credential/tti.py:29
#: models_provider/impl/siliconCloud_model_provider/credential/tti.py:29
#: models_provider/impl/xinference_model_provider/credential/tti.py:28
msgid "Picture quality"
msgstr "圖片質量"

#: models_provider/impl/azure_model_provider/credential/tts.py:17
#: models_provider/impl/openai_model_provider/credential/tts.py:17
msgid ""
"Try out the different sounds (Alloy, Echo, Fable, Onyx, Nova, and Sparkle) "
"to find one that suits your desired tone and audience. The current voiceover "
"is optimized for English."
msgstr ""
"嘗試不同的聲音（合金、回聲、寓言、縞瑪瑙、新星和閃光），找到一種適合您所需的"
"音調和聽眾的聲音。當前的語音針對英語進行了優化。"

#: models_provider/impl/deepseek_model_provider/deepseek_model_provider.py:24
msgid "Good at common conversational tasks, supports 32K contexts"
msgstr "擅長通用對話任務，支持 32K 上下文"

#: models_provider/impl/deepseek_model_provider/deepseek_model_provider.py:29
msgid "Good at handling programming tasks, supports 16K contexts"
msgstr "擅長處理編程任務，支持 16K 上下文"

#: models_provider/impl/gemini_model_provider/gemini_model_provider.py:32
msgid "Latest Gemini 1.0 Pro model, updated with Google update"
msgstr "最新的 Gemini 1.0 Pro 模型，更新了 Google 更新"

#: models_provider/impl/gemini_model_provider/gemini_model_provider.py:36
msgid "Latest Gemini 1.0 Pro Vision model, updated with Google update"
msgstr "最新的Gemini 1.0 Pro Vision模型，隨Google更新而更新"

#: models_provider/impl/gemini_model_provider/gemini_model_provider.py:43
#: models_provider/impl/gemini_model_provider/gemini_model_provider.py:47
#: models_provider/impl/gemini_model_provider/gemini_model_provider.py:54
#: models_provider/impl/gemini_model_provider/gemini_model_provider.py:58
msgid "Latest Gemini 1.5 Flash model, updated with Google updates"
msgstr "最新的Gemini 1.5 Flash模型，隨Google更新而更新"

#: models_provider/impl/gemini_model_provider/model/stt.py:53
msgid "convert audio to text"
msgstr "將音頻轉換為文本"

#: models_provider/impl/local_model_provider/credential/embedding.py:53
#: models_provider/impl/local_model_provider/credential/reranker.py:54
msgid "Model catalog"
msgstr "模型目錄"

#: models_provider/impl/local_model_provider/local_model_provider.py:39
msgid "local model"
msgstr "本地模型"

#: models_provider/impl/ollama_model_provider/credential/embedding.py:30
#: models_provider/impl/ollama_model_provider/credential/image.py:23
#: models_provider/impl/ollama_model_provider/credential/llm.py:48
#: models_provider/impl/ollama_model_provider/credential/reranker.py:35
#: models_provider/impl/vllm_model_provider/credential/llm.py:43
#: models_provider/impl/xinference_model_provider/credential/embedding.py:24
#: models_provider/impl/xinference_model_provider/credential/llm.py:44
msgid "API domain name is invalid"
msgstr "API 域名無效"

#: models_provider/impl/ollama_model_provider/credential/embedding.py:35
#: models_provider/impl/ollama_model_provider/credential/image.py:28
#: models_provider/impl/ollama_model_provider/credential/llm.py:53
#: models_provider/impl/ollama_model_provider/credential/reranker.py:40
#: models_provider/impl/vllm_model_provider/credential/llm.py:47
#: models_provider/impl/xinference_model_provider/credential/embedding.py:30
#: models_provider/impl/xinference_model_provider/credential/llm.py:48
msgid "The model does not exist, please download the model first"
msgstr "模型不存在，請先下載模型"

#: models_provider/impl/ollama_model_provider/ollama_model_provider.py:56
msgid ""
"Llama 2 is a set of pretrained and fine-tuned generative text models ranging "
"in size from 7 billion to 70 billion. This is a repository of 7B pretrained "
"models. Links to other models can be found in the index at the bottom."
msgstr ""
"Llama 2 是一組經過預訓練和微調的生成文本模型，其規模從 70 億到 700 億個不等。"
"這是 7B 預訓練模型的存儲庫。其他模型的連結可以在底部的索引中找到。"

#: models_provider/impl/ollama_model_provider/ollama_model_provider.py:60
msgid ""
"Llama 2 is a set of pretrained and fine-tuned generative text models ranging "
"in size from 7 billion to 70 billion. This is a repository of 13B pretrained "
"models. Links to other models can be found in the index at the bottom."
msgstr ""
"Llama 2 是一組經過預訓練和微調的生成文本模型，其規模從 70 億到 700 億個不等。"
"這是 13B 預訓練模型的存儲庫。其他模型的連結可以在底部的索引中找到。"

#: models_provider/impl/ollama_model_provider/ollama_model_provider.py:64
msgid ""
"Llama 2 is a set of pretrained and fine-tuned generative text models ranging "
"in size from 7 billion to 70 billion. This is a repository of 70B pretrained "
"models. Links to other models can be found in the index at the bottom."
msgstr ""
"Llama 2 是一組經過預訓練和微調的生成文本模型，其規模從 70 億到 700 億個不等。"
"這是 70B 預訓練模型的存儲庫。其他模型的連結可以在底部的索引中找到。"

#: models_provider/impl/ollama_model_provider/ollama_model_provider.py:68
msgid ""
"Since the Chinese alignment of Llama2 itself is weak, we use the Chinese "
"instruction set to fine-tune meta-llama/Llama-2-13b-chat-hf with LoRA so "
"that it has strong Chinese conversation capabilities."
msgstr ""
"由於Llama2本身的中文對齊較弱，我們採用中文指令集，對meta-llama/Llama-2-13b-"
"chat-hf進行LoRA微調，使其具備較強的中文對話能力。"

#: models_provider/impl/ollama_model_provider/ollama_model_provider.py:72
msgid ""
"Meta Llama 3: The most capable public product LLM to date. 8 billion "
"parameters."
msgstr "Meta Llama 3：迄今為止最有能力的公開產品LLM。80億參數。"

#: models_provider/impl/ollama_model_provider/ollama_model_provider.py:76
msgid ""
"Meta Llama 3: The most capable public product LLM to date. 70 billion "
"parameters."
msgstr "Meta Llama 3：迄今為止最有能力的公開產品LLM。700億參數。"

#: models_provider/impl/ollama_model_provider/ollama_model_provider.py:80
msgid ""
"Compared with previous versions, qwen 1.5 0.5b has significantly enhanced "
"the model's alignment with human preferences and its multi-language "
"processing capabilities. Models of all sizes support a context length of "
"32768 tokens. 500 million parameters."
msgstr ""
"qwen 1.5 0.5b 相較於以往版本，模型與人類偏好的對齊程度以及多語言處理能力上有"
"顯著增強。所有規模的模型都支持32768個tokens的上下文長度。5億參數。"

#: models_provider/impl/ollama_model_provider/ollama_model_provider.py:84
msgid ""
"Compared with previous versions, qwen 1.5 1.8b has significantly enhanced "
"the model's alignment with human preferences and its multi-language "
"processing capabilities. Models of all sizes support a context length of "
"32768 tokens. 1.8 billion parameters."
msgstr ""
"qwen 1.5 1.8b 相較於以往版本，模型與人類偏好的對齊程度以及多語言處理能力上有"
"顯著增強。所有規模的模型都支持32768個tokens的上下文長度。18億參數。"

#: models_provider/impl/ollama_model_provider/ollama_model_provider.py:88
msgid ""
"Compared with previous versions, qwen 1.5 4b has significantly enhanced the "
"model's alignment with human preferences and its multi-language processing "
"capabilities. Models of all sizes support a context length of 32768 tokens. "
"4 billion parameters."
msgstr ""
"qwen 1.5 4b 相較於以往版本，模型與人類偏好的對齊程度以及多語言處理能力上有顯"
"著增強。所有規模的模型都支持32768個tokens的上下文長度。40億參數。"

#: models_provider/impl/ollama_model_provider/ollama_model_provider.py:93
msgid ""
"Compared with previous versions, qwen 1.5 7b has significantly enhanced the "
"model's alignment with human preferences and its multi-language processing "
"capabilities. Models of all sizes support a context length of 32768 tokens. "
"7 billion parameters."
msgstr ""
"qwen 1.5 7b 相較於以往版本，模型與人類偏好的對齊程度以及多語言處理能力上有顯"
"著增強。所有規模的模型都支持32768個tokens的上下文長度。70億參數。"

#: models_provider/impl/ollama_model_provider/ollama_model_provider.py:97
msgid ""
"Compared with previous versions, qwen 1.5 14b has significantly enhanced the "
"model's alignment with human preferences and its multi-language processing "
"capabilities. Models of all sizes support a context length of 32768 tokens. "
"14 billion parameters."
msgstr ""
"qwen 1.5 14b 相較於以往版本，模型與人類偏好的對齊程度以及多語言處理能力上有顯"
"著增強。所有規模的模型都支持32768個tokens的上下文長度。140億參數。"

#: models_provider/impl/ollama_model_provider/ollama_model_provider.py:101
msgid ""
"Compared with previous versions, qwen 1.5 32b has significantly enhanced the "
"model's alignment with human preferences and its multi-language processing "
"capabilities. Models of all sizes support a context length of 32768 tokens. "
"32 billion parameters."
msgstr ""
"qwen 1.5 32b 相較於以往版本，模型與人類偏好的對齊程度以及多語言處理能力上有顯"
"著增強。所有規模的模型都支持32768個tokens的上下文長度。320億參數。"

#: models_provider/impl/ollama_model_provider/ollama_model_provider.py:105
msgid ""
"Compared with previous versions, qwen 1.5 72b has significantly enhanced the "
"model's alignment with human preferences and its multi-language processing "
"capabilities. Models of all sizes support a context length of 32768 tokens. "
"72 billion parameters."
msgstr ""
"qwen 1.5 72b 相較於以往版本，模型與人類偏好的對齊程度以及多語言處理能力上有顯"
"著增強。所有規模的模型都支持32768個tokens的上下文長度。720億參數。"

#: models_provider/impl/ollama_model_provider/ollama_model_provider.py:109
msgid ""
"Compared with previous versions, qwen 1.5 110b has significantly enhanced "
"the model's alignment with human preferences and its multi-language "
"processing capabilities. Models of all sizes support a context length of "
"32768 tokens. 110 billion parameters."
msgstr ""
"qwen 1.5 110b 相較於以往版本，模型與人類偏好的對齊程度以及多語言處理能力上有"
"顯著增強。所有規模的模型都支持32768個tokens的上下文長度。1100億參數。"

#: models_provider/impl/ollama_model_provider/ollama_model_provider.py:153
#: models_provider/impl/ollama_model_provider/ollama_model_provider.py:193
msgid ""
"Phi-3 Mini is Microsoft's 3.8B parameter, lightweight, state-of-the-art open "
"model."
msgstr "Phi-3 Mini是Microsoft的3.8B參數，輕量級，最先進的開放模型。"

#: models_provider/impl/ollama_model_provider/ollama_model_provider.py:162
#: models_provider/impl/ollama_model_provider/ollama_model_provider.py:197
msgid ""
"A high-performance open embedding model with a large token context window."
msgstr "一個具有大 tokens上下文窗口的高性能開放嵌入模型。"

#: models_provider/impl/openai_model_provider/credential/tti.py:16
#: models_provider/impl/siliconCloud_model_provider/credential/tti.py:16
msgid ""
"The image generation endpoint allows you to create raw images based on text "
"prompts. When using the DALL·E 3, the image size can be 1024x1024, 1024x1792 "
"or 1792x1024 pixels."
msgstr ""
"圖像生成端點允許您根據文本提示創建原始圖像。使用 DALL·E 3 時，圖像的尺寸可以"
"為 1024x1024、1024x1792 或 1792x1024 像素。"

#: models_provider/impl/openai_model_provider/credential/tti.py:29
#: models_provider/impl/siliconCloud_model_provider/credential/tti.py:29
msgid ""
"       \n"
"By default, images are produced in standard quality, but with DALL·E 3 you "
"can set quality: \"hd\" to enhance detail. Square, standard quality images "
"are generated fastest.\n"
"        "
msgstr ""
"默認情況下，圖像以標準質量生成，但使用 DALL·E 3 時，您可以設置質量：「hd」以增"
"強細節。方形、標準質量的圖像生成速度最快。"

#: models_provider/impl/openai_model_provider/credential/tti.py:44
#: models_provider/impl/siliconCloud_model_provider/credential/tti.py:44
msgid ""
"You can use DALL·E 3 to request 1 image at a time (requesting more images by "
"issuing parallel requests), or use DALL·E 2 with the n parameter to request "
"up to 10 images at a time."
msgstr ""
"您可以使用 DALL·E 3 一次請求 1 個圖像（通過發出並行請求來請求更多圖像），或者"
"使用帶有 n 參數的 DALL·E 2 一次最多請求 10 個圖像。"

#: models_provider/impl/openai_model_provider/openai_model_provider.py:35
#: models_provider/impl/openai_model_provider/openai_model_provider.py:119
#: models_provider/impl/siliconCloud_model_provider/siliconCloud_model_provider.py:118
msgid "The latest gpt-3.5-turbo, updated with OpenAI adjustments"
msgstr "最新的gpt-3.5-turbo，隨OpenAI調整而更新"

#: models_provider/impl/openai_model_provider/openai_model_provider.py:38
msgid "Latest gpt-4, updated with OpenAI adjustments"
msgstr "最新的gpt-4，隨OpenAI調整而更新"

#: models_provider/impl/openai_model_provider/openai_model_provider.py:40
#: models_provider/impl/openai_model_provider/openai_model_provider.py:99
msgid ""
"The latest GPT-4o, cheaper and faster than gpt-4-turbo, updated with OpenAI "
"adjustments"
msgstr "最新的GPT-4o，比gpt-4-turbo更便宜、更快，隨OpenAI調整而更新"

#: models_provider/impl/openai_model_provider/openai_model_provider.py:43
#: models_provider/impl/openai_model_provider/openai_model_provider.py:102
msgid ""
"The latest gpt-4o-mini, cheaper and faster than gpt-4o, updated with OpenAI "
"adjustments"
msgstr "最新的gpt-4o-mini，比gpt-4o更便宜、更快，隨OpenAI調整而更新"

#: models_provider/impl/openai_model_provider/openai_model_provider.py:46
msgid "The latest gpt-4-turbo, updated with OpenAI adjustments"
msgstr "最新的gpt-4-turbo，隨OpenAI調整而更新"

#: models_provider/impl/openai_model_provider/openai_model_provider.py:49
msgid "The latest gpt-4-turbo-preview, updated with OpenAI adjustments"
msgstr "最新的gpt-4-turbo-preview，隨OpenAI調整而更新"

#: models_provider/impl/openai_model_provider/openai_model_provider.py:53
msgid ""
"gpt-3.5-turbo snapshot on January 25, 2024, supporting context length 16,385 "
"tokens"
msgstr "2024年1月25日的gpt-3.5-turbo快照，支持上下文長度16,385 tokens"

#: models_provider/impl/openai_model_provider/openai_model_provider.py:57
msgid ""
"gpt-3.5-turbo snapshot on November 6, 2023, supporting context length 16,385 "
"tokens"
msgstr "2023年11月6日的gpt-3.5-turbo快照，支持上下文長度16,385 tokens"

#: models_provider/impl/openai_model_provider/openai_model_provider.py:61
msgid ""
"[Legacy] gpt-3.5-turbo snapshot on June 13, 2023, will be deprecated on June "
"13, 2024"
msgstr "[Legacy] 2023年6月13日的gpt-3.5-turbo快照，將於2024年6月13日棄用"

#: models_provider/impl/openai_model_provider/openai_model_provider.py:65
msgid ""
"gpt-4o snapshot on May 13, 2024, supporting context length 128,000 tokens"
msgstr "2024年5月13日的gpt-4o快照，支持上下文長度128,000 tokens"

#: models_provider/impl/openai_model_provider/openai_model_provider.py:69
msgid ""
"gpt-4-turbo snapshot on April 9, 2024, supporting context length 128,000 "
"tokens"
msgstr "2024年4月9日的gpt-4-turbo快照，支持上下文長度128,000 tokens"

#: models_provider/impl/openai_model_provider/openai_model_provider.py:72
msgid ""
"gpt-4-turbo snapshot on January 25, 2024, supporting context length 128,000 "
"tokens"
msgstr "2024年1月25日的gpt-4-turbo快照，支持上下文長度128,000 tokens"

#: models_provider/impl/openai_model_provider/openai_model_provider.py:75
msgid ""
"gpt-4-turbo snapshot on November 6, 2023, supporting context length 128,000 "
"tokens"
msgstr "2023年11月6日的gpt-4-turbo快照，支持上下文長度128,000 tokens"

#: models_provider/impl/tencent_cloud_model_provider/tencent_cloud_model_provider.py:58
msgid "Tencent Cloud"
msgstr "騰訊雲"

#: models_provider/impl/tencent_model_provider/credential/llm.py:41
#: models_provider/impl/tencent_model_provider/credential/tti.py:88
#, python-brace-format
msgid "{keys} is required"
msgstr "{keys} 是必填項"

#: models_provider/impl/tencent_model_provider/credential/tti.py:14
msgid "painting style"
msgstr "繪畫風格"

#: models_provider/impl/tencent_model_provider/credential/tti.py:14
msgid "If not passed, the default value is 201 (Japanese anime style)"
msgstr "如果未傳遞，則默認值為201（日本動漫風格）"

#: models_provider/impl/tencent_model_provider/credential/tti.py:18
msgid "Not limited to style"
msgstr "不限於風格"

#: models_provider/impl/tencent_model_provider/credential/tti.py:19
msgid "ink painting"
msgstr "水墨畫"

#: models_provider/impl/tencent_model_provider/credential/tti.py:20
msgid "concept art"
msgstr "概念藝術"

#: models_provider/impl/tencent_model_provider/credential/tti.py:21
msgid "Oil painting 1"
msgstr "油畫1"

#: models_provider/impl/tencent_model_provider/credential/tti.py:22
msgid "Oil Painting 2 (Van Gogh)"
msgstr "油畫2（梵谷）"

#: models_provider/impl/tencent_model_provider/credential/tti.py:23
msgid "watercolor painting"
msgstr "水彩畫"

#: models_provider/impl/tencent_model_provider/credential/tti.py:24
msgid "pixel art"
msgstr "像素畫"

#: models_provider/impl/tencent_model_provider/credential/tti.py:25
msgid "impasto style"
msgstr "厚塗風格"

#: models_provider/impl/tencent_model_provider/credential/tti.py:26
msgid "illustration"
msgstr "插圖"

#: models_provider/impl/tencent_model_provider/credential/tti.py:27
msgid "paper cut style"
msgstr "剪紙風格"

#: models_provider/impl/tencent_model_provider/credential/tti.py:28
msgid "Impressionism 1 (Monet)"
msgstr "印象派1（莫奈）"

#: models_provider/impl/tencent_model_provider/credential/tti.py:29
msgid "Impressionism 2"
msgstr "印象派2"

#: models_provider/impl/tencent_model_provider/credential/tti.py:31
msgid "classical portraiture"
msgstr "古典肖像畫"

#: models_provider/impl/tencent_model_provider/credential/tti.py:32
msgid "black and white sketch"
msgstr "黑白素描畫"

#: models_provider/impl/tencent_model_provider/credential/tti.py:33
msgid "cyberpunk"
msgstr "賽博朋克"

#: models_provider/impl/tencent_model_provider/credential/tti.py:34
msgid "science fiction style"
msgstr "科幻風格"

#: models_provider/impl/tencent_model_provider/credential/tti.py:35
msgid "dark style"
msgstr "暗黑風格"

#: models_provider/impl/tencent_model_provider/credential/tti.py:37
msgid "vaporwave"
msgstr "蒸汽波"

#: models_provider/impl/tencent_model_provider/credential/tti.py:38
msgid "Japanese animation"
msgstr "日系動漫"

#: models_provider/impl/tencent_model_provider/credential/tti.py:39
msgid "monster style"
msgstr "怪獸風格"

#: models_provider/impl/tencent_model_provider/credential/tti.py:40
msgid "Beautiful ancient style"
msgstr "唯美古風"

#: models_provider/impl/tencent_model_provider/credential/tti.py:41
msgid "retro anime"
msgstr "復古動漫"

#: models_provider/impl/tencent_model_provider/credential/tti.py:42
msgid "Game cartoon hand drawing"
msgstr "遊戲卡通手繪"

#: models_provider/impl/tencent_model_provider/credential/tti.py:43
msgid "Universal realistic style"
msgstr "通用寫實風格"

#: models_provider/impl/tencent_model_provider/credential/tti.py:50
msgid "Generate image resolution"
msgstr "生成圖像解析度"

#: models_provider/impl/tencent_model_provider/credential/tti.py:50
msgid "If not transmitted, the default value is 768:768."
msgstr "不傳默認使用768:768。"

#: models_provider/impl/tencent_model_provider/tencent_model_provider.py:38
msgid ""
"The most effective version of the current hybrid model, the trillion-level "
"parameter scale MOE-32K long article model. Reaching the absolute leading "
"level on various benchmarks, with complex instructions and reasoning, "
"complex mathematical capabilities, support for function call, and "
"application focus optimization in fields such as multi-language translation, "
"finance, law, and medical care"
msgstr ""
"當前混元模型中效果最優版本，萬億級參數規模 MOE-32K 長文模型。在各種 "
"benchmark 上達到絕對領先的水平，複雜指令和推理，具備複雜數學能力，支持 "
"functioncall，在多語言翻譯、金融法律醫療等領域應用重點優化"

#: models_provider/impl/tencent_model_provider/tencent_model_provider.py:45
msgid ""
"A better routing strategy is adopted to simultaneously alleviate the "
"problems of load balancing and expert convergence. For long articles, the "
"needle-in-a-haystack index reaches 99.9%"
msgstr ""
"採用更優的路由策略，同時緩解了負載均衡和專家趨同的問題。長文方面，大海撈針指"
"標達到99.9%"

#: models_provider/impl/tencent_model_provider/tencent_model_provider.py:51
msgid ""
"Upgraded to MOE structure, the context window is 256k, leading many open "
"source models in multiple evaluation sets such as NLP, code, mathematics, "
"industry, etc."
msgstr ""
"升級為 MOE 結構，上下文窗口為 256k ，在 NLP，代碼，數學，行業等多項評測集上領"
"先眾多開源模型"

#: models_provider/impl/tencent_model_provider/tencent_model_provider.py:57
msgid ""
"Hunyuan's latest version of the role-playing model, a role-playing model "
"launched by Hunyuan's official fine-tuning training, is based on the Hunyuan "
"model combined with the role-playing scene data set for additional training, "
"and has better basic effects in role-playing scenes."
msgstr ""
"混元最新版角色扮演模型，混元官方精調訓練推出的角色扮演模型，基於混元模型結合"
"角色扮演場景數據集進行增訓，在角色扮演場景具有更好的基礎效果"

#: models_provider/impl/tencent_model_provider/tencent_model_provider.py:63
msgid ""
"Hunyuan's latest MOE architecture FunctionCall model has been trained with "
"high-quality FunctionCall data and has a context window of 32K, leading in "
"multiple dimensions of evaluation indicators."
msgstr ""
"混元最新 MOE 架構 FunctionCall 模型，經過高質量的 FunctionCall 數據訓練，上下"
"文窗口達 32K，在多個維度的評測指標上處於領先。"

#: models_provider/impl/tencent_model_provider/tencent_model_provider.py:69
msgid ""
"Hunyuan's latest code generation model, after training the base model with "
"200B high-quality code data, and iterating on high-quality SFT data for half "
"a year, the context long window length has been increased to 8K, and it "
"ranks among the top in the automatic evaluation indicators of code "
"generation in the five major languages; the five major languages In the "
"manual high-quality evaluation of 10 comprehensive code tasks that consider "
"all aspects, the performance is in the first echelon."
msgstr ""
"混元最新代碼生成模型，經過 200B 高質量代碼數據增訓基座模型，迭代半年高質量 "
"SFT 數據訓練，上下文長窗口長度增大到 8K，五大語言代碼生成自動評測指標上位居前"
"列；五大語言10項考量各方面綜合代碼任務人工高質量評測上，性能處於第一梯隊"

#: models_provider/impl/tencent_model_provider/tencent_model_provider.py:77
msgid ""
"Tencent's Hunyuan Embedding interface can convert text into high-quality "
"vector data. The vector dimension is 1024 dimensions."
msgstr ""
"騰訊混元 Embedding 接口，可以將文本轉化為高質量的向量數據。向量維度為1024維。"

#: models_provider/impl/tencent_model_provider/tencent_model_provider.py:87
msgid "Mixed element visual model"
msgstr "混元視覺模型"

#: models_provider/impl/tencent_model_provider/tencent_model_provider.py:94
msgid "Hunyuan graph model"
msgstr "混元生圖模型"

#: models_provider/impl/tencent_model_provider/tencent_model_provider.py:125
msgid "Tencent Hunyuan"
msgstr "騰訊混元"

#: models_provider/impl/vllm_model_provider/vllm_model_provider.py:24
#: models_provider/impl/vllm_model_provider/vllm_model_provider.py:42
msgid "Facebook’s 125M parameter model"
msgstr "Facebook的125M參數模型"

#: models_provider/impl/vllm_model_provider/vllm_model_provider.py:25
msgid "BAAI’s 7B parameter model"
msgstr "BAAI的7B參數模型"

#: models_provider/impl/vllm_model_provider/vllm_model_provider.py:26
msgid "BAAI’s 13B parameter mode"
msgstr "BAAI的13B參數模型"

#: models_provider/impl/volcanic_engine_model_provider/credential/tti.py:16
msgid ""
"If the gap between width, height and 512 is too large, the picture rendering "
"effect will be poor and the probability of excessive delay will increase "
"significantly. Recommended ratio and corresponding width and height before "
"super score: width*height"
msgstr ""
"寬、高與512差距過大，則出圖效果不佳、延遲過長概率顯著增加。超分前建議比例及對"
"應寬高：width*height"

#: models_provider/impl/volcanic_engine_model_provider/credential/tts.py:15
#: models_provider/impl/xinference_model_provider/credential/tts.py:15
msgid "timbre"
msgstr "音色"

#: models_provider/impl/volcanic_engine_model_provider/credential/tts.py:31
#: models_provider/impl/xf_model_provider/credential/tts.py:28
msgid "speaking speed"
msgstr "語速"

#: models_provider/impl/volcanic_engine_model_provider/credential/tts.py:31
msgid "[0.2,3], the default is 1, usually one decimal place is enough"
msgstr "[0.2,3]，默認為1，通常保留一位小數即可"

#: models_provider/impl/volcanic_engine_model_provider/volcanic_engine_model_provider.py:39
#: models_provider/impl/volcanic_engine_model_provider/volcanic_engine_model_provider.py:44
#: models_provider/impl/volcanic_engine_model_provider/volcanic_engine_model_provider.py:88
msgid ""
"The user goes to the model inference page of Volcano Ark to create an "
"inference access point. Here, you need to enter ep-xxxxxxxxxx-yyyy to call "
"it."
msgstr ""
"用戶前往火山方舟的模型推理頁面創建推理接入點，這裡需要輸入ep-xxxxxxxxxx-yyyy"
"進行調用"

#: models_provider/impl/volcanic_engine_model_provider/volcanic_engine_model_provider.py:59
msgid "Universal 2.0-Vincent Diagram"
msgstr "通用2.0-文生圖"

#: models_provider/impl/volcanic_engine_model_provider/volcanic_engine_model_provider.py:64
msgid "Universal 2.0Pro-Vincent Chart"
msgstr "通用2.0Pro-文生圖"

#: models_provider/impl/volcanic_engine_model_provider/volcanic_engine_model_provider.py:69
msgid "Universal 1.4-Vincent Chart"
msgstr "通用1.4-文生圖"

#: models_provider/impl/volcanic_engine_model_provider/volcanic_engine_model_provider.py:74
msgid "Animation 1.3.0-Vincent Picture"
msgstr "動漫1.3.0-文生圖"

#: models_provider/impl/volcanic_engine_model_provider/volcanic_engine_model_provider.py:79
msgid "Animation 1.3.1-Vincent Picture"
msgstr "動漫1.3.1-文生圖"

#: models_provider/impl/volcanic_engine_model_provider/volcanic_engine_model_provider.py:113
msgid "volcano engine"
msgstr "火山引擎"

#: models_provider/impl/wenxin_model_provider/credential/llm.py:51
#, python-brace-format
msgid "{model_name} The model does not support"
msgstr "{model_name} 模型不支持"

#: models_provider/impl/wenxin_model_provider/wenxin_model_provider.py:24
#: models_provider/impl/wenxin_model_provider/wenxin_model_provider.py:53
msgid ""
"ERNIE-Bot-4 is a large language model independently developed by Baidu. It "
"covers massive Chinese data and has stronger capabilities in dialogue Q&A, "
"content creation and generation."
msgstr ""
"ERNIE-Bot-4是百度自行研發的大語言模型，覆蓋海量中文數據，具有更強的對話問答、"
"內容創作生成等能力。"

#: models_provider/impl/wenxin_model_provider/wenxin_model_provider.py:27
msgid ""
"ERNIE-Bot is a large language model independently developed by Baidu. It "
"covers massive Chinese data and has stronger capabilities in dialogue Q&A, "
"content creation and generation."
msgstr ""
"ERNIE-Bot是百度自行研發的大語言模型，覆蓋海量中文數據，具有更強的對話問答、內"
"容創作生成等能力。"

#: models_provider/impl/wenxin_model_provider/wenxin_model_provider.py:30
msgid ""
"ERNIE-Bot-turbo is a large language model independently developed by Baidu. "
"It covers massive Chinese data, has stronger capabilities in dialogue Q&A, "
"content creation and generation, and has a faster response speed."
msgstr ""
"ERNIE-Bot-turbo是百度自行研發的大語言模型，覆蓋海量中文數據，具有更強的對話問"
"答、內容創作生成等能力，響應速度更快。"

#: models_provider/impl/wenxin_model_provider/wenxin_model_provider.py:33
msgid ""
"BLOOMZ-7B is a well-known large language model in the industry. It was "
"developed and open sourced by BigScience and can output text in 46 languages "
"and 13 programming languages."
msgstr ""
"BLOOMZ-7B是業內知名的大語言模型，由BigScience研發並開源，能夠以46種語言和13種"
"程式語言輸出文本。"

#: models_provider/impl/wenxin_model_provider/wenxin_model_provider.py:39
msgid ""
"Llama-2-13b-chat was developed by Meta AI and is open source. It performs "
"well in scenarios such as coding, reasoning and knowledge application. "
"Llama-2-13b-chat is a native open source version with balanced performance "
"and effect, suitable for conversation scenarios."
msgstr ""
"Llama-2-13b-chat由Meta AI研發並開源，在編碼、推理及知識應用等場景表現優秀，"
"Llama-2-13b-chat是性能與效果均衡的原生開源版本，適用於對話場景。"

#: models_provider/impl/wenxin_model_provider/wenxin_model_provider.py:42
msgid ""
"Llama-2-70b-chat was developed by Meta AI and is open source. It performs "
"well in scenarios such as coding, reasoning, and knowledge application. "
"Llama-2-70b-chat is a native open source version with high-precision effects."
msgstr ""
"Llama-2-70b-chat由Meta AI研發並開源，在編碼、推理及知識應用等場景表現優秀，"
"Llama-2-70b-chat是高精度效果的原生開源版本。"

#: models_provider/impl/wenxin_model_provider/wenxin_model_provider.py:45
msgid ""
"The Chinese enhanced version developed by the Qianfan team based on "
"Llama-2-7b has performed well on Chinese knowledge bases such as CMMLU and C-"
"EVAL."
msgstr ""
"千帆團隊在Llama-2-7b基礎上的中文增強版本，在CMMLU、C-EVAL等中文知識庫上表現優"
"異。"

#: models_provider/impl/wenxin_model_provider/wenxin_model_provider.py:49
msgid ""
"Embedding-V1 is a text representation model based on Baidu Wenxin large "
"model technology. It can convert text into a vector form represented by "
"numerical values and can be used in text retrieval, information "
"recommendation, knowledge mining and other scenarios. Embedding-V1 provides "
"the Embeddings interface, which can generate corresponding vector "
"representations based on input content. You can call this interface to input "
"text into the model and obtain the corresponding vector representation for "
"subsequent text processing and analysis."
msgstr ""
"Embedding-V1是一個基於百度文心大模型技術的文本表示模型，可以將文本轉化為用數"
"值表示的向量形式，用於文本檢索、信息推薦、知識挖掘等場景。 Embedding-V1提供了"
"Embeddings接口，可以根據輸入內容生成對應的向量表示。您可以通過調用該接口，將"
"文本輸入到模型中，獲取到對應的向量表示，從而進行後續的文本處理和分析。"

#: models_provider/impl/wenxin_model_provider/wenxin_model_provider.py:66
msgid "Thousand sails large model"
msgstr "千帆大模型"

#: models_provider/impl/xf_model_provider/credential/image.py:42
msgid "Please outline this picture"
msgstr "請描述這張圖片"

#: models_provider/impl/xf_model_provider/credential/tts.py:15
msgid "Speaker"
msgstr "發音人"

#: models_provider/impl/xf_model_provider/credential/tts.py:16
msgid ""
"Speaker, optional value: Please go to the console to add a trial or purchase "
"speaker. After adding, the speaker parameter value will be displayed."
msgstr ""
"發音人，可選值：請到控制臺添加試用或購買發音人，添加後即顯示發音人參數值"

#: models_provider/impl/xf_model_provider/credential/tts.py:21
msgid "iFlytek Xiaoyan"
msgstr "訊飛小燕"

#: models_provider/impl/xf_model_provider/credential/tts.py:22
msgid "iFlytek Xujiu"
msgstr "訊飛許久"

#: models_provider/impl/xf_model_provider/credential/tts.py:23
msgid "iFlytek Xiaoping"
msgstr "訊飛小萍"

#: models_provider/impl/xf_model_provider/credential/tts.py:24
msgid "iFlytek Xiaojing"
msgstr "訊飛小婧"

#: models_provider/impl/xf_model_provider/credential/tts.py:25
msgid "iFlytek Xuxiaobao"
msgstr "訊飛許小寶"

#: models_provider/impl/xf_model_provider/credential/tts.py:28
msgid "Speech speed, optional value: [0-100], default is 50"
msgstr "語速，可選值：[0-100]，默認為50"

#: models_provider/impl/xf_model_provider/xf_model_provider.py:39
#: models_provider/impl/xf_model_provider/xf_model_provider.py:50
msgid "Chinese and English recognition"
msgstr "中英文識別"

#: models_provider/impl/xf_model_provider/xf_model_provider.py:66
msgid "iFlytek Spark"
msgstr "訊飛星火"

#: models_provider/impl/xinference_model_provider/credential/tti.py:15
msgid ""
"The image generation endpoint allows you to create raw images based on text "
"prompts. The dimensions of the image can be 1024x1024, 1024x1792, or "
"1792x1024 pixels."
msgstr ""
"圖像生成端點允許您根據文本提示創建原始圖像。圖像的尺寸可以為 1024x1024、"
"1024x1792 或 1792x1024 像素。"

#: models_provider/impl/xinference_model_provider/credential/tti.py:29
msgid ""
"By default, images are generated in standard quality, you can set quality: "
"\"hd\" to enhance detail. Square, standard quality images are generated "
"fastest."
msgstr ""
"默認情況下，圖像以標準質量生成，您可以設置質量：「hd」以增強細節。方形、標準質"
"量的圖像生成速度最快。"

#: models_provider/impl/xinference_model_provider/credential/tti.py:42
msgid ""
"You can request 1 image at a time (requesting more images by making parallel "
"requests), or up to 10 images at a time using the n parameter."
msgstr ""
"您可以一次請求 1 個圖像（通過發出並行請求來請求更多圖像），或者使用 n 參數一"
"次最多請求 10 個圖像。"

#: models_provider/impl/xinference_model_provider/credential/tts.py:20
msgid "Chinese female"
msgstr "中文女"

#: models_provider/impl/xinference_model_provider/credential/tts.py:21
msgid "Chinese male"
msgstr "中文男"

#: models_provider/impl/xinference_model_provider/credential/tts.py:22
msgid "Japanese male"
msgstr "日語男"

#: models_provider/impl/xinference_model_provider/credential/tts.py:23
msgid "Cantonese female"
msgstr "粵語女"

#: models_provider/impl/xinference_model_provider/credential/tts.py:24
msgid "English female"
msgstr "英文女"

#: models_provider/impl/xinference_model_provider/credential/tts.py:25
msgid "English male"
msgstr "英文男"

#: models_provider/impl/xinference_model_provider/credential/tts.py:26
msgid "Korean female"
msgstr "韓語女"

#: models_provider/impl/xinference_model_provider/xinference_model_provider.py:37
msgid ""
"Code Llama is a language model specifically designed for code generation."
msgstr "Code Llama 是一個專門用於代碼生成的語言模型。"

#: models_provider/impl/xinference_model_provider/xinference_model_provider.py:44
msgid ""
"       \n"
"Code Llama Instruct is a fine-tuned version of Code Llama's instructions, "
"designed to perform specific tasks.\n"
"        "
msgstr ""
"Code Llama Instruct 是 Code Llama 的指令微調版本，專為執行特定任務而設計。"

#: models_provider/impl/xinference_model_provider/xinference_model_provider.py:53
msgid ""
"Code Llama Python is a language model specifically designed for Python code "
"generation."
msgstr "Code Llama Python 是一個專門用於 Python 代碼生成的語言模型。"

#: models_provider/impl/xinference_model_provider/xinference_model_provider.py:60
msgid ""
"CodeQwen 1.5 is a language model for code generation with high performance."
msgstr "CodeQwen 1.5 是一個用於代碼生成的語言模型，具有較高的性能。"

#: models_provider/impl/xinference_model_provider/xinference_model_provider.py:67
msgid "CodeQwen 1.5 Chat is a chat model version of CodeQwen 1.5."
msgstr "CodeQwen 1.5 Chat 是一個聊天模型版本的 CodeQwen 1.5。"

#: models_provider/impl/xinference_model_provider/xinference_model_provider.py:74
msgid "Deepseek is a large-scale language model with 13 billion parameters."
msgstr "Deepseek Chat 是一個聊天模型版本的 Deepseek。"

#: models_provider/impl/zhipu_model_provider/credential/tti.py:16
msgid ""
"Image size, only cogview-3-plus supports this parameter. Optional range: "
"[1024x1024,768x1344,864x1152,1344x768,1152x864,1440x720,720x1440], the "
"default is 1024x1024."
msgstr ""
"圖片尺寸，僅 cogview-3-plus 支持該參數。可選範圍："
"[1024x1024,768x1344,864x1152,1344x768,1152x864,1440x720,720x1440]，默認是"
"1024x1024。"

#: models_provider/impl/zhipu_model_provider/zhipu_model_provider.py:34
msgid ""
"Have strong multi-modal understanding capabilities. Able to understand up to "
"five images simultaneously and supports video content understanding"
msgstr "具有強大的多模態理解能力。能夠同時理解多達五張圖像，並支持視頻內容理解"

#: models_provider/impl/zhipu_model_provider/zhipu_model_provider.py:37
msgid ""
"Focus on single picture understanding. Suitable for scenarios requiring "
"efficient image analysis"
msgstr "專注於單圖理解。適用於需要高效圖像解析的場景"

#: models_provider/impl/zhipu_model_provider/zhipu_model_provider.py:40
msgid ""
"Focus on single picture understanding. Suitable for scenarios requiring "
"efficient image analysis (free)"
msgstr "專注於單圖理解。適用於需要高效圖像解析的場景(免費)"

#: models_provider/impl/zhipu_model_provider/zhipu_model_provider.py:46
msgid ""
"Quickly and accurately generate images based on user text descriptions. "
"Resolution supports 1024x1024"
msgstr "根據用戶文字描述快速、精準生成圖像。解析度支持1024x1024"

#: models_provider/impl/zhipu_model_provider/zhipu_model_provider.py:49
msgid ""
"Generate high-quality images based on user text descriptions, supporting "
"multiple image sizes"
msgstr "根據用戶文字描述生成高質量圖像，支持多圖片尺寸"

#: models_provider/impl/zhipu_model_provider/zhipu_model_provider.py:52
msgid ""
"Generate high-quality images based on user text descriptions, supporting "
"multiple image sizes (free)"
msgstr "根據用戶文字描述生成高質量圖像，支持多圖片尺寸(免費)"

#: models_provider/impl/zhipu_model_provider/zhipu_model_provider.py:75
msgid "zhipu AI"
msgstr "智譜 AI"

#: models_provider/serializers/model_apply_serializers.py:32
#: models_provider/serializers/model_apply_serializers.py:37
msgid "vector text"
msgstr "向量文本"

#: models_provider/serializers/model_apply_serializers.py:33
msgid "vector text list"
msgstr "向量文本列表"

#: models_provider/serializers/model_apply_serializers.py:41
msgid "text"
msgstr "文本"

#: models_provider/serializers/model_apply_serializers.py:42
msgid "metadata"
msgstr "元數據"

#: models_provider/serializers/model_apply_serializers.py:47
msgid "query"
msgstr "查詢"

#: models_provider/serializers/model_serializer.py:43
#: models_provider/serializers/model_serializer.py:222
#: models_provider/serializers/model_serializer.py:259
#: models_provider/serializers/model_serializer.py:323
msgid "base model"
msgstr "基礎模型"

#: models_provider/serializers/model_serializer.py:44
#: models_provider/serializers/model_serializer.py:260
msgid "parameter configuration"
msgstr "參數配置"

#: models_provider/serializers/model_serializer.py:45
#: models_provider/serializers/model_serializer.py:225
#: models_provider/serializers/model_serializer.py:261
msgid "certification information"
msgstr "認證信息"

#: models_provider/serializers/model_serializer.py:233
#: models_provider/serializers/model_serializer.py:272
#, python-brace-format
msgid "base model【{model_name}】already exists"
msgstr "模型【{model_name}】已存在"

#: models_provider/serializers/model_serializer.py:312
msgid "Model saving failed"
msgstr "模型保存失敗"

#: models_provider/serializers/model_serializer.py:325
msgid "create user"
msgstr "創建用戶"

#: models_provider/views/model.py:28 models_provider/views/model.py:29
#: models_provider/views/model.py:30
msgid "Create model"
msgstr "創建模型"

#: models_provider/views/model.py:54 models_provider/views/model.py:55
#: models_provider/views/model.py:56
msgid "Query model list"
msgstr "查詢模型列表"

#: models_provider/views/model.py:71 models_provider/views/model.py:72
#: models_provider/views/model.py:73
msgid "Update model"
msgstr "更新模型"

#: models_provider/views/model.py:85 models_provider/views/model.py:86
#: models_provider/views/model.py:87
msgid "Delete model"
msgstr "刪除模型"

#: models_provider/views/model.py:97 models_provider/views/model.py:98
#: models_provider/views/model.py:99
msgid "Query model details"
msgstr "查詢模型詳情"

#: models_provider/views/model.py:112 models_provider/views/model.py:113
#: models_provider/views/model.py:114
msgid "Get model parameter form"
msgstr "獲取模型參數表單"

#: models_provider/views/model.py:124 models_provider/views/model.py:125
#: models_provider/views/model.py:126
msgid "Save model parameter form"
msgstr "保存模型參數表單"

#: models_provider/views/model.py:141 models_provider/views/model.py:143
#: models_provider/views/model.py:145
msgid ""
"Query model meta information, this interface does not carry authentication "
"information"
msgstr "查詢模型元信息，該接口不攜帶認證信息"

#: models_provider/views/model.py:158 models_provider/views/model.py:159
#: models_provider/views/model.py:160
msgid "Pause model download"
msgstr "下載模型暫停"

#: models_provider/views/model_apply.py:25
#: models_provider/views/model_apply.py:26
#: models_provider/views/model_apply.py:27
#: models_provider/views/model_apply.py:38
#: models_provider/views/model_apply.py:39
#: models_provider/views/model_apply.py:40
msgid "Vectorization documentation"
msgstr "向量化文檔"

#: models_provider/views/model_apply.py:51
#: models_provider/views/model_apply.py:52
#: models_provider/views/model_apply.py:53
msgid "Reorder documents"
msgstr "重新排序文檔"

#: models_provider/views/provide.py:21 models_provider/views/provide.py:22
#: models_provider/views/provide.py:23
msgid "Get a list of model suppliers"
msgstr "獲取模型供應商列表"

#: models_provider/views/provide.py:44 models_provider/views/provide.py:45
#: models_provider/views/provide.py:46
msgid "Get a list of model types"
msgstr "獲取模型類型列表"

#: models_provider/views/provide.py:59 models_provider/views/provide.py:60
#: models_provider/views/provide.py:61
msgid "Example of obtaining model list"
msgstr "獲取模型列表示例"

#: models_provider/views/provide.py:78 models_provider/views/provide.py:79
#: models_provider/views/provide.py:80
msgid "Get model default parameters"
msgstr "獲取模型默認參數"

#: models_provider/views/provide.py:96 models_provider/views/provide.py:97
#: models_provider/views/provide.py:98
msgid "Get the model creation form"
msgstr "獲取模型創建表單"

#: role_setting/api/role_setting.py:15 role_setting/api/role_setting.py:21
#: role_setting/api/role_setting.py:32 role_setting/api/role_setting.py:142
#: role_setting/serializers/role_setting_serializers.py:170
#: workspace/api/workspace.py:81
msgid "ID"
msgstr ""

#: role_setting/api/role_setting.py:16 role_setting/api/role_setting.py:22
#: role_setting/api/role_setting.py:33 users/serializers/user.py:204
msgid "Name"
msgstr "用戶名"

#: role_setting/api/role_setting.py:17 role_setting/api/role_setting.py:28
#: role_setting/serializers/role_setting_serializers.py:171
msgid "Enable"
msgstr "啟用"

#: role_setting/api/role_setting.py:25
#| msgid "permissions"
msgid "Permission"
msgstr "權限"

#: role_setting/api/role_setting.py:36
msgid "Children"
msgstr "子級"

#: role_setting/api/role_setting.py:54
#: role_setting/serializers/role_setting_serializers.py:105
#| msgid "tool type"
msgid "Role type"
msgstr "角色類型"

#: role_setting/api/role_setting.py:75
msgid "Internal role"
msgstr "內置角色"

#: role_setting/api/role_setting.py:79
msgid "Custom role"
msgstr "自定義角色"

#: role_setting/api/role_setting.py:107 role_setting/api/role_setting.py:127
#: role_setting/api/role_setting.py:163
#: role_setting/serializers/role_setting_serializers.py:108
#: role_setting/serializers/role_setting_serializers.py:286
#: workspace/api/workspace.py:86
#| msgid "Role"
msgid "Role ID"
msgstr "角色 ID"

#: role_setting/api/role_setting.py:134
#| msgid "User ID"
msgid "User relation ID"
msgstr "用戶關係 ID"

#: role_setting/api/role_setting.py:143 tools/serializers/tool.py:334
#: users/api/user.py:39 users/api/user.py:93 users/api/user.py:109
#: users/serializers/user.py:271 workspace/api/workspace.py:82
#: workspace/serializers/workspace_serializers.py:189
msgid "User ID"
msgstr "用戶 ID"

#: role_setting/api/role_setting.py:144 role_setting/api/role_setting.py:184
#: role_setting/serializers/role_setting_serializers.py:287
#: users/api/user.py:64 users/serializers/login.py:27
#: users/serializers/user.py:42 users/serializers/user.py:89
#: workspace/api/workspace.py:83 workspace/api/workspace.py:124
#: workspace/serializers/workspace_serializers.py:159
msgid "Username"
msgstr "用戶名"

#: role_setting/api/role_setting.py:145 workspace/api/workspace.py:84
#| msgid "Nick name"
msgid "Nickname"
msgstr "暱稱"

#: role_setting/api/role_setting.py:146 users/api/user.py:51
#: users/api/user.py:148 workspace/api/workspace.py:46
#: workspace/api/workspace.py:66 workspace/api/workspace.py:85
#: workspace/api/workspace.py:103
#: workspace/serializers/workspace_serializers.py:158
msgid "Workspace ID"
msgstr "工作空間 ID"

#: role_setting/api/role_setting.py:147
#| msgid "Workspace"
msgid "Workspace Name"
msgstr "工作空間"

#: role_setting/api/role_setting.py:170 workspace/api/workspace.py:110
#| msgid "current page"
msgid "Current page"
msgstr "當前頁"

#: role_setting/api/role_setting.py:177 workspace/api/workspace.py:117
#| msgid "page size"
msgid "Page size"
msgstr "每頁大小"

#: role_setting/serializers/role_setting_serializers.py:102
msgid "Role name"
msgstr "角色名稱"

#: role_setting/serializers/role_setting_serializers.py:120
#: role_setting/serializers/role_setting_serializers.py:177
#: role_setting/serializers/role_setting_serializers.py:282
#: role_setting/serializers/role_setting_serializers.py:294
msgid "Role does not exist"
msgstr "角色不存在"

#: role_setting/serializers/role_setting_serializers.py:122
#: role_setting/serializers/role_setting_serializers.py:179
msgid "Cannot modify built-in role"
msgstr "不能修改內置角色"

#: role_setting/serializers/role_setting_serializers.py:130
msgid "Role name already exists"
msgstr "角色名稱已存在"

#: role_setting/serializers/role_setting_serializers.py:150
msgid "Invalid role type"
msgstr "無效的角色類型"

#: role_setting/serializers/role_setting_serializers.py:181
msgid "Cannot delete built-in role"
msgstr "無法刪除內置角色"

#: role_setting/serializers/role_setting_serializers.py:233
#: workspace/serializers/workspace_serializers.py:90
msgid "User IDs"
msgstr "用戶 ID"

#: role_setting/serializers/role_setting_serializers.py:238
msgid "Workspace IDs"
msgstr "工作空間 ID"

#: role_setting/serializers/role_setting_serializers.py:243
#: workspace/serializers/workspace_serializers.py:101
msgid "Members"
msgstr "成員集合"

#: role_setting/serializers/role_setting_serializers.py:270
#: workspace/serializers/workspace_serializers.py:144
msgid "User relation does not exist"
msgstr "用戶關係不存在"

#: role_setting/serializers/role_setting_serializers.py:274
#: workspace/serializers/workspace_serializers.py:147
msgid "Cannot remove member from built-in role"
msgstr "不能從內置角色中移除成員"

#: role_setting/serializers/role_setting_serializers.py:327
msgid "Only update members to normal users"
msgstr "只能為普通用戶更新成員"

#: role_setting/views/role_setting.py:24 role_setting/views/role_setting.py:25
#: role_setting/views/role_setting.py:26
msgid "Get role permission template"
msgstr "獲取角色權限模板"

#: role_setting/views/role_setting.py:46 role_setting/views/role_setting.py:47
#: role_setting/views/role_setting.py:48
msgid "Create or update role"
msgstr "創建或更新角色"

#: role_setting/views/role_setting.py:62 role_setting/views/role_setting.py:63
#: role_setting/views/role_setting.py:64
msgid "Get role list"
msgstr "獲取角色列表"

#: role_setting/views/role_setting.py:80 role_setting/views/role_setting.py:81
#: role_setting/views/role_setting.py:82
msgid "Delete role"
msgstr "刪除角色"

#: role_setting/views/role_setting.py:100
#: role_setting/views/role_setting.py:101
#: role_setting/views/role_setting.py:102
msgid "Create or update role permission"
msgstr "創建或更新角色權限"

#: role_setting/views/role_setting.py:118
#: role_setting/views/role_setting.py:119
#: role_setting/views/role_setting.py:120
msgid "Get role permission"
msgstr "獲取角色權限"

#: role_setting/views/role_setting.py:139
#: role_setting/views/role_setting.py:140
#: role_setting/views/role_setting.py:141
msgid "Add member to system role"
msgstr "系統角色添加成員"

#: role_setting/views/role_setting.py:162
#: role_setting/views/role_setting.py:163
#: role_setting/views/role_setting.py:164
msgid "Remove member from system role"
msgstr "系統角色移除成員"

#: role_setting/views/role_setting.py:178
#: role_setting/views/role_setting.py:179
#: role_setting/views/role_setting.py:180
msgid "Get system role member list"
msgstr "獲取系統角色成員列表"

#: role_setting/views/role_setting.py:196
#: role_setting/views/role_setting.py:197
#: role_setting/views/role_setting.py:198
msgid "Get Workspace role list"
msgstr "獲取工作空間角色列表"

#: role_setting/views/role_setting.py:200
#: role_setting/views/role_setting.py:221
#: role_setting/views/role_setting.py:243
#: role_setting/views/role_setting.py:259
msgid "Workspace Role"
msgstr "工作空間角色"

#: role_setting/views/role_setting.py:215
#: role_setting/views/role_setting.py:216
#: role_setting/views/role_setting.py:217
msgid "Add member to workspace role"
msgstr "工作空間角色添加成員"

#: role_setting/views/role_setting.py:238
#: role_setting/views/role_setting.py:239
#: role_setting/views/role_setting.py:240
msgid "Remove member from workspace role"
msgstr "工作空間角色移除成員"

#: role_setting/views/role_setting.py:254
#: role_setting/views/role_setting.py:255
#: role_setting/views/role_setting.py:256
msgid "Get workspace role member list"
msgstr "獲取工作空間角色成員列表"

#: system_manage/serializers/email_setting.py:28
msgid "SMTP host"
msgstr ""

#: system_manage/serializers/email_setting.py:29
msgid "SMTP port"
msgstr ""

#: system_manage/serializers/email_setting.py:30
#: system_manage/serializers/email_setting.py:34
msgid "Sender's email"
msgstr "發送者郵箱"

#: system_manage/serializers/email_setting.py:31 users/api/user.py:80
#: users/serializers/login.py:28 users/serializers/user.py:43
#: users/serializers/user.py:101 users/serializers/user.py:237
msgid "Password"
msgstr "密碼"

#: system_manage/serializers/email_setting.py:32
msgid "Whether to enable TLS"
msgstr "是否啟用 TLS"

#: system_manage/serializers/email_setting.py:33
msgid "Whether to enable SSL"
msgstr "是否啟用 SSL"

#: system_manage/serializers/email_setting.py:49
msgid "Email verification failed"
msgstr "郵件認證失敗"

#: system_manage/serializers/user_resource_permission.py:52
msgid "target id"
msgstr "當前 ID"

#: system_manage/serializers/user_resource_permission.py:69
msgid "Non-existent application|knowledge base id["
msgstr "不存在的應用|知識庫 ID["

#: system_manage/views/email_setting.py:30
#: system_manage/views/email_setting.py:31
#: system_manage/views/email_setting.py:32
msgid "Create or update email settings"
msgstr "創建或更新郵件設置"

#: system_manage/views/email_setting.py:35
#: system_manage/views/email_setting.py:48
#: system_manage/views/email_setting.py:61
msgid "Email Settings"
msgstr "郵箱設置"

#: system_manage/views/email_setting.py:44
#: system_manage/views/email_setting.py:45
msgid "Test email settings"
msgstr "測試郵箱設置"

#: system_manage/views/email_setting.py:57
#: system_manage/views/email_setting.py:58
#: system_manage/views/email_setting.py:59
msgid "Get email settings"
msgstr "獲取郵箱設置"

#: system_manage/views/user_resource_permission.py:29
#: system_manage/views/user_resource_permission.py:30
msgid "Obtain resource authorization list"
msgstr "獲取資源授權列表"

#: system_manage/views/user_resource_permission.py:33
#: system_manage/views/user_resource_permission.py:48
msgid "Resources authorization"
msgstr "資源授權"

#: system_manage/views/user_resource_permission.py:43
#: system_manage/views/user_resource_permission.py:44
msgid "Modify the resource authorization list"
msgstr "修改資源授權列表"

#: tools/serializers/tool.py:114 tools/serializers/tool.py:176
msgid "variable name"
msgstr "變量名稱"

#: tools/serializers/tool.py:116
msgid "type"
msgstr "類型"

#: tools/serializers/tool.py:118
msgid "fields only support string|int|dict|array|float"
msgstr "欄位僅支持字符串|整數|字典|數組|浮點數"

#: tools/serializers/tool.py:122
msgid "The field only supports custom|reference"
msgstr "欄位僅支持自定義|引用"

#: tools/serializers/tool.py:127
msgid "field name"
msgstr "欄位名稱"

#: tools/serializers/tool.py:128
msgid "field label"
msgstr "標籤"

#: tools/serializers/tool.py:138 tools/serializers/tool.py:156
#: tools/serializers/tool.py:394
msgid "tool name"
msgstr "工具名稱"

#: tools/serializers/tool.py:141 tools/serializers/tool.py:159
msgid "tool description"
msgstr "工具描述"

#: tools/serializers/tool.py:143 tools/serializers/tool.py:161
#: tools/serializers/tool.py:181
msgid "tool content"
msgstr "工具內容"

#: tools/serializers/tool.py:146 tools/serializers/tool.py:164
#: tools/serializers/tool.py:183
msgid "input field list"
msgstr "輸入欄位列表"

#: tools/serializers/tool.py:148 tools/serializers/tool.py:166
#: tools/serializers/tool.py:184
msgid "init field list"
msgstr "內置欄位列表"

#: tools/serializers/tool.py:168 tools/serializers/tool.py:185
msgid "init params"
msgstr "內置參數"

#: tools/serializers/tool.py:177
msgid "variable value"
msgstr "變量名稱"

#: tools/serializers/tool.py:190
msgid "function content"
msgstr "工具內容"

#: tools/serializers/tool.py:245
msgid "field has no value set"
msgstr "欄位未設置值"

#: tools/serializers/tool.py:261 tools/serializers/tool.py:266
msgid "type error"
msgstr "類型錯誤"

#: tools/serializers/tool.py:269
#, python-brace-format
msgid "Field: {name} Type: {_type} Value: {value} Type conversion error"
msgstr "欄位：{name} 類型：{_type} 值：{value} 類型轉換錯誤"

#: tools/serializers/tool.py:274
msgid "tool id"
msgstr "工具 ID"

#: tools/serializers/tool.py:282
msgid "Tool not found"
msgstr "工具不存在"

#: tools/serializers/tool.py:396
msgid "tool type"
msgstr "工具類型"

#: tools/views/tool.py:21 tools/views/tool.py:22 tools/views/tool.py:23
msgid "Create tool"
msgstr "創建工具"

#: tools/views/tool.py:37 tools/views/tool.py:38 tools/views/tool.py:39
msgid "Get tool by folder"
msgstr "通過文件夾獲取工具"

#: tools/views/tool.py:55 tools/views/tool.py:56 tools/views/tool.py:57
msgid "Debug Tool"
msgstr "調試工具"

#: tools/views/tool.py:73 tools/views/tool.py:74 tools/views/tool.py:75
msgid "Update tool"
msgstr "更新工具"

#: tools/views/tool.py:89 tools/views/tool.py:90 tools/views/tool.py:91
msgid "Get tool"
msgstr "獲取工具"

#: tools/views/tool.py:104 tools/views/tool.py:105 tools/views/tool.py:106
msgid "Delete tool"
msgstr "刪除工具"

#: tools/views/tool.py:122 tools/views/tool.py:123 tools/views/tool.py:124
msgid "Get tool list by pagination"
msgstr "獲取工具列表"

#: tools/views/tool.py:146 tools/views/tool.py:147 tools/views/tool.py:148
msgid "Import tool"
msgstr "導入工具"

#: tools/views/tool.py:165 tools/views/tool.py:166 tools/views/tool.py:167
msgid "Export tool"
msgstr "導出工具"

#: tools/views/tool.py:183 tools/views/tool.py:184 tools/views/tool.py:185
msgid "Check code"
msgstr "檢查代碼"

#: users/api/user.py:132
msgid "Email or Username"
msgstr "郵箱或用戶名"

#: users/serializers/login.py:29 users/serializers/login.py:69
msgid "captcha"
msgstr "驗證碼"

#: users/serializers/login.py:36
msgid "token"
msgstr "令牌"

#: users/serializers/login.py:50
msgid "Captcha code error or expiration"
msgstr "驗證碼錯誤或過期"

#: users/serializers/login.py:55
msgid "The user has been disabled, please contact the administrator!"
msgstr "用戶已被禁用，請聯繫管理員！"

#: users/serializers/user.py:33
msgid "Is Edit Password"
msgstr "是否編輯密碼"

#: users/serializers/user.py:34
msgid "permissions"
msgstr "無權限訪問"

#: users/serializers/user.py:44 users/serializers/user.py:81
#: users/serializers/user.py:196
msgid "Email"
msgstr "郵箱"

#: users/serializers/user.py:45 users/serializers/user.py:115
msgid "Nick name"
msgstr "暱稱"

#: users/serializers/user.py:46 users/serializers/user.py:120
#: users/serializers/user.py:209
msgid "Phone"
msgstr "手機"

#: users/serializers/user.py:95
msgid "Username must be 6-20 characters long"
msgstr "用戶名必須為6-20個字符"

#: users/serializers/user.py:108 users/serializers/user.py:244
msgid ""
"The password must be 6-20 characters long and must be a combination of "
"letters, numbers, and special characters."
msgstr "密碼必須為6-20個字符，且必須包含字母、數字和特殊字符。"

#: users/serializers/user.py:145
msgid "Email or username"
msgstr "郵箱或用戶名"

#: users/serializers/user.py:172
msgid ""
"The community version supports up to 2 users. If you need more users, please "
"contact us (https://fit2cloud.com/)."
msgstr ""
"社區版支持最多2個用戶，如需更多用戶，請聯繫我們（https://fit2cloud.com/）。"

#: users/serializers/user.py:216
msgid "Is Active"
msgstr "是否啟用"

#: users/serializers/user.py:227
msgid "Nickname is already in use"
msgstr "Nickname已被使用"

#: users/serializers/user.py:232
msgid "Email is already in use"
msgstr "郵箱已被使用"

#: users/serializers/user.py:251
msgid "Re Password"
msgstr "確認密碼"

#: users/serializers/user.py:256
msgid ""
"The confirmation password must be 6-20 characters long and must be a "
"combination of letters, numbers, and special characters."
msgstr "確認密碼必須為6-20個字符，且必須包含字母、數字和特殊字符。"

#: users/serializers/user.py:279
msgid "User does not exist"
msgstr "用戶不存在"

#: users/serializers/user.py:294
msgid "Unable to delete administrator"
msgstr "無法刪除管理員"

#: users/serializers/user.py:312
msgid "Cannot modify administrator status"
msgstr "不能修改管理員狀態"

#: users/views/login.py:21 users/views/login.py:22 users/views/login.py:23
msgid "Log in"
msgstr "登錄"

#: users/views/login.py:33 users/views/login.py:34 users/views/login.py:35
msgid "Get captcha"
msgstr "獲取驗證碼"

#: users/views/user.py:31 users/views/user.py:32 users/views/user.py:33
#: users/views/user.py:44 users/views/user.py:45
msgid "Get current user information"
msgstr "獲取當前用戶信息"

#: users/views/user.py:73 users/views/user.py:74 users/views/user.py:75
msgid "Get user list under workspace"
msgstr "獲取工作空間下用戶列表"

#: users/views/user.py:87 users/views/user.py:88 users/views/user.py:89
msgid "Create user"
msgstr "創建者"

#: users/views/user.py:101 users/views/user.py:102 users/views/user.py:103
msgid "Get default password"
msgstr "獲取默認密碼"

#: users/views/user.py:114 users/views/user.py:115 users/views/user.py:116
msgid "Delete user"
msgstr "刪除用戶"

#: users/views/user.py:125 users/views/user.py:126 users/views/user.py:127
msgid "Get user information"
msgstr "獲取用戶信息"

#: users/views/user.py:136 users/views/user.py:137 users/views/user.py:138
msgid "Update user information"
msgstr "更新當前用戶信息"

#: users/views/user.py:152 users/views/user.py:153 users/views/user.py:154
msgid "Change password"
msgstr "修改密碼"

#: users/views/user.py:167 users/views/user.py:168 users/views/user.py:169
msgid "Get user paginated list"
msgstr "獲取用戶分頁列表"

#: workspace/api/workspace.py:73
#: workspace/serializers/workspace_serializers.py:134
msgid "User Relation ID"
msgstr "用戶關係 ID"

#: workspace/api/workspace.py:87
msgid "Role Name"
msgstr "角色名稱"

#: workspace/serializers/workspace_serializers.py:37
#: workspace/serializers/workspace_serializers.py:72
#: workspace/serializers/workspace_serializers.py:106
#: workspace/serializers/workspace_serializers.py:140
#: workspace/serializers/workspace_serializers.py:165
msgid "Workspace does not exist"
msgstr "工作空間不存在"

#: workspace/serializers/workspace_serializers.py:44
msgid "Workspace name already exists"
msgstr "工作空間名稱已存在"

#: workspace/serializers/workspace_serializers.py:74
msgid "Default workspace cannot be deleted"
msgstr "默認工作空間不能被刪除"

#: workspace/serializers/workspace_serializers.py:95
msgid "Role IDs"
msgstr "角色 IDs"

#: workspace/views/workspace.py:23 workspace/views/workspace.py:24
#: workspace/views/workspace.py:25
msgid "Create or update workspace"
msgstr "創建或更新工作空間"

#: workspace/views/workspace.py:34 workspace/views/workspace.py:35
#: workspace/views/workspace.py:36
msgid "Get system workspace list"
msgstr "獲取系統工作空間列表"

#: workspace/views/workspace.py:47 workspace/views/workspace.py:48
#: workspace/views/workspace.py:49
msgid "Delete workspace"
msgstr "刪除工作空間"

#: workspace/views/workspace.py:62 workspace/views/workspace.py:63
#: workspace/views/workspace.py:64
msgid "Add member to system workspace"
msgstr "系統工作空間添加成員"

#: workspace/views/workspace.py:79 workspace/views/workspace.py:80
#: workspace/views/workspace.py:81
msgid "Remove member from system workspace"
msgstr "系統工作空間移除成員"

#: workspace/views/workspace.py:96 workspace/views/workspace.py:97
#: workspace/views/workspace.py:98
msgid "Get system workspace member list"
msgstr "獲取系統工作空間成員列表"

#: workspace/views/workspace.py:114 workspace/views/workspace.py:115
#: workspace/views/workspace.py:116
msgid "Get workspace list"
msgstr "獲取工作空間列表"

#: workspace/views/workspace.py:127 workspace/views/workspace.py:128
#: workspace/views/workspace.py:129
msgid "Add member to workspace"
msgstr "工作空間添加成員"

#: workspace/views/workspace.py:144 workspace/views/workspace.py:145
#: workspace/views/workspace.py:146
msgid "Remove member from workspace"
msgstr "工作空間移除成員"

#: workspace/views/workspace.py:161 workspace/views/workspace.py:162
#: workspace/views/workspace.py:163
msgid "Get workspace member list"
msgstr "獲取工作空間成員列表"

#: workspace/views/workspace.py:178 workspace/views/workspace.py:179
#: workspace/views/workspace.py:180
msgid "Get workspace list by user"
msgstr "根據用戶獲取工作空間列表"