Feat/portuguese support (#2075)

2025-12-10 03:16:51 +08:00 · 2024-01-23 21:14:53 +08:00
parent 21ade71bad
commit c17baef172
78 changed files with 2849 additions and 376 deletions
--- a/api/commands.py
+++ b/api/commands.py
@@ -11,6 +11,7 @@ import uuid

 import click
 import qdrant_client
+from constants.languages import user_input_form_template
 from core.embedding.cached_embedding import CacheEmbedding
 from core.index.index import IndexBuilder
 from core.model_manager import ModelManager
@@ -583,28 +584,6 @@ def deal_dataset_vector(flask_app: Flask, dataset: Dataset, normalization_count:
@click.option("--batch-size", default=500, help="Number of records to migrate in each batch.")
 def update_app_model_configs(batch_size):
    pre_prompt_template = '{{default_input}}'
-    user_input_form_template = {
-        "en-US": [
-            {
-                "paragraph": {
-                    "label": "Query",
-                    "variable": "default_input",
-                    "required": False,
-                    "default": ""
-                }
-            }
-        ],
-        "zh-Hans": [
-            {
-                "paragraph": {
-                    "label": "查询内容",
-                    "variable": "default_input",
-                    "required": False,
-                    "default": ""
-                }
-            }
-        ]
-    }

    click.secho("Start migrate old data that the text generator can support paragraph variable.", fg='green')

--- a/api/constants/languages.py
+++ b/api/constants/languages.py
@@ -0,0 +1,326 @@
+
+import json
+from models.model import AppModelConfig
+
+languages = ['en-US', 'zh-Hans', 'pt-BR', 'es-ES', 'fr-FR', 'de-DE', 'ja-JP', 'ko-KR', 'ru-RU', 'it-IT']
+
+language_timezone_mapping = {
+    'en-US': 'America/New_York',
+    'zh-Hans': 'Asia/Shanghai',
+    'pt-BR': 'America/Sao_Paulo',
+    'es-ES': 'Europe/Madrid',
+    'fr-FR': 'Europe/Paris',
+    'de-DE': 'Europe/Berlin',
+    'ja-JP': 'Asia/Tokyo',
+    'ko-KR': 'Asia/Seoul',
+    'ru-RU': 'Europe/Moscow',
+    'it-IT': 'Europe/Rome',
+}
+
+def supported_language(lang):
+    if lang in languages:
+        return lang
+
+    error = ('{lang} is not a valid language.'
+             .format(lang=lang))
+    raise ValueError(error)
+
+user_input_form_template = {
+    "en-US": [
+        {
+            "paragraph": {
+                "label": "Query",
+                "variable": "default_input",
+                "required": False,
+                "default": ""
+            }
+        }
+    ],
+    "zh-Hans": [
+        {
+            "paragraph": {
+                "label": "查询内容",
+                "variable": "default_input",
+                "required": False,
+                "default": ""
+            }
+        }
+    ],
+    "pt-BR": [
+        {
+            "paragraph": {
+                "label": "Consulta",
+                "variable": "default_input",
+                "required": False,
+                "default": ""
+            }
+        }
+    ],
+    "es-ES": [
+        {
+            "paragraph": {
+                "label": "Consulta",
+                "variable": "default_input",
+                "required": False,
+                "default": ""
+            }
+        }
+    ],
+}
+
+demo_model_templates = {
+    'en-US': [
+        {
+            'name': 'Translation Assistant',
+            'icon': '',
+            'icon_background': '',
+            'description': 'A multilingual translator that provides translation capabilities in multiple languages, translating user input into the language they need.',
+            'mode': 'completion',
+            'model_config': AppModelConfig(
+                provider='openai',
+                model_id='gpt-3.5-turbo-instruct',
+                configs={
+                    'prompt_template': "Please translate the following text into {{target_language}}:\n",
+                    'prompt_variables': [
+                        {
+                            "key": "target_language",
+                            "name": "Target Language",
+                            "description": "The language you want to translate into.",
+                            "type": "select",
+                            "default": "Chinese",
+                            'options': [
+                                'Chinese',
+                                'English',
+                                'Japanese',
+                                'French',
+                                'Russian',
+                                'German',
+                                'Spanish',
+                                'Korean',
+                                'Italian',
+                            ]
+                        }
+                    ],
+                    'completion_params': {
+                        'max_token': 1000,
+                        'temperature': 0,
+                        'top_p': 0,
+                        'presence_penalty': 0.1,
+                        'frequency_penalty': 0.1,
+                    }
+                },
+                opening_statement='',
+                suggested_questions=None,
+                pre_prompt="Please translate the following text into {{target_language}}:\n{{query}}\ntranslate:",
+                model=json.dumps({
+                    "provider": "openai",
+                    "name": "gpt-3.5-turbo-instruct",
+                    "mode": "completion",
+                    "completion_params": {
+                        "max_tokens": 1000,
+                        "temperature": 0,
+                        "top_p": 0,
+                        "presence_penalty": 0.1,
+                        "frequency_penalty": 0.1
+                    }
+                }),
+                user_input_form=json.dumps([
+                    {
+                        "select": {
+                            "label": "Target Language",
+                            "variable": "target_language",
+                            "description": "The language you want to translate into.",
+                            "default": "Chinese",
+                            "required": True,
+                            'options': [
+                                'Chinese',
+                                'English',
+                                'Japanese',
+                                'French',
+                                'Russian',
+                                'German',
+                                'Spanish',
+                                'Korean',
+                                'Italian',
+                            ]
+                        }
+                    },{
+                        "paragraph": {
+                            "label": "Query",
+                            "variable": "query",
+                            "required": True,
+                            "default": ""
+                        }
+                    }
+                ])
+            )
+        },
+        {
+            'name': 'AI Front-end Interviewer',
+            'icon': '',
+            'icon_background': '',
+            'description': 'A simulated front-end interviewer that tests the skill level of front-end development through questioning.',
+            'mode': 'chat',
+            'model_config': AppModelConfig(
+                provider='openai',
+                model_id='gpt-3.5-turbo',
+                configs={
+                    'introduction': 'Hi, welcome to our interview. I am the interviewer for this technology company, and I will test your web front-end development skills. Next, I will ask you some technical questions. Please answer them as thoroughly as possible. ',
+                    'prompt_template': "You will play the role of an interviewer for a technology company, examining the user's web front-end development skills and posing 5-10 sharp technical questions.\n\nPlease note:\n- Only ask one question at a time.\n- After the user answers a question, ask the next question directly, without trying to correct any mistakes made by the candidate.\n- If you think the user has not answered correctly for several consecutive questions, ask fewer questions.\n- After asking the last question, you can ask this question: Why did you leave your last job? After the user answers this question, please express your understanding and support.\n",
+                    'prompt_variables': [],
+                    'completion_params': {
+                        'max_token': 300,
+                        'temperature': 0.8,
+                        'top_p': 0.9,
+                        'presence_penalty': 0.1,
+                        'frequency_penalty': 0.1,
+                    }
+                },
+                opening_statement='Hi, welcome to our interview. I am the interviewer for this technology company, and I will test your web front-end development skills. Next, I will ask you some technical questions. Please answer them as thoroughly as possible. ',
+                suggested_questions=None,
+                pre_prompt="You will play the role of an interviewer for a technology company, examining the user's web front-end development skills and posing 5-10 sharp technical questions.\n\nPlease note:\n- Only ask one question at a time.\n- After the user answers a question, ask the next question directly, without trying to correct any mistakes made by the candidate.\n- If you think the user has not answered correctly for several consecutive questions, ask fewer questions.\n- After asking the last question, you can ask this question: Why did you leave your last job? After the user answers this question, please express your understanding and support.\n",
+                model=json.dumps({
+                    "provider": "openai",
+                    "name": "gpt-3.5-turbo",
+                    "mode": "chat",
+                    "completion_params": {
+                        "max_tokens": 300,
+                        "temperature": 0.8,
+                        "top_p": 0.9,
+                        "presence_penalty": 0.1,
+                        "frequency_penalty": 0.1
+                    }
+                }),
+                user_input_form=None
+            )
+        }
+    ],
+
+    'zh-Hans': [
+        {
+            'name': '翻译助手',
+            'icon': '',
+            'icon_background': '',
+            'description': '一个多语言翻译器，提供多种语言翻译能力，将用户输入的文本翻译成他们需要的语言。',
+            'mode': 'completion',
+            'model_config': AppModelConfig(
+                provider='openai',
+                model_id='gpt-3.5-turbo-instruct',
+                configs={
+                    'prompt_template': "请将以下文本翻译为{{target_language}}:\n",
+                    'prompt_variables': [
+                        {
+                            "key": "target_language",
+                            "name": "目标语言",
+                            "description": "翻译的目标语言",
+                            "type": "select",
+                            "default": "中文",
+                            "options": [
+                                "中文",
+                                "英文",
+                                "日语",
+                                "法语",
+                                "俄语",
+                                "德语",
+                                "西班牙语",
+                                "韩语",
+                                "意大利语",
+                            ]
+                        }
+                    ],
+                    'completion_params': {
+                        'max_token': 1000,
+                        'temperature': 0,
+                        'top_p': 0,
+                        'presence_penalty': 0.1,
+                        'frequency_penalty': 0.1,
+                    }
+                },
+                opening_statement='',
+                suggested_questions=None,
+                pre_prompt="请将以下文本翻译为{{target_language}}:\n{{query}}\n翻译:",
+                model=json.dumps({
+                    "provider": "openai",
+                    "name": "gpt-3.5-turbo-instruct",
+                    "mode": "completion",
+                    "completion_params": {
+                        "max_tokens": 1000,
+                        "temperature": 0,
+                        "top_p": 0,
+                        "presence_penalty": 0.1,
+                        "frequency_penalty": 0.1
+                    }
+                }),
+                user_input_form=json.dumps([
+                    {
+                        "select": {
+                            "label": "目标语言",
+                            "variable": "target_language",
+                            "description": "翻译的目标语言",
+                            "default": "中文",
+                            "required": True,
+                            'options': [
+                                "中文",
+                                "英文",
+                                "日语",
+                                "法语",
+                                "俄语",
+                                "德语",
+                                "西班牙语",
+                                "韩语",
+                                "意大利语",
+                            ]
+                        }
+                    },{
+                        "paragraph": {
+                            "label": "文本内容",
+                            "variable": "query",
+                            "required": True,
+                            "default": ""
+                        }
+                    }
+                ])
+            )
+        },
+        {
+            'name': 'AI 前端面试官',
+            'icon': '',
+            'icon_background': '',
+            'description': '一个模拟的前端面试官，通过提问的方式对前端开发的技能水平进行检验。',
+            'mode': 'chat',
+            'model_config': AppModelConfig(
+                provider='openai',
+                model_id='gpt-3.5-turbo',
+                configs={
+                    'introduction': '你好，欢迎来参加我们的面试，我是这家科技公司的面试官，我将考察你的 Web 前端开发技能。接下来我会向您提出一些技术问题，请您尽可能详尽地回答。',
+                    'prompt_template': "你将扮演一个科技公司的面试官，考察用户作为候选人的 Web 前端开发水平，提出 5-10 个犀利的技术问题。\n\n请注意：\n- 每次只问一个问题\n- 用户回答问题后请直接问下一个问题，而不要试图纠正候选人的错误；\n- 如果你认为用户连续几次回答的都不对，就少问一点；\n- 问完最后一个问题后，你可以问这样一个问题：上一份工作为什么离职？用户回答该问题后，请表示理解与支持。\n",
+                    'prompt_variables': [],
+                    'completion_params': {
+                        'max_token': 300,
+                        'temperature': 0.8,
+                        'top_p': 0.9,
+                        'presence_penalty': 0.1,
+                        'frequency_penalty': 0.1,
+                    }
+                },
+                opening_statement='你好，欢迎来参加我们的面试，我是这家科技公司的面试官，我将考察你的 Web 前端开发技能。接下来我会向您提出一些技术问题，请您尽可能详尽地回答。',
+                suggested_questions=None,
+                pre_prompt="你将扮演一个科技公司的面试官，考察用户作为候选人的 Web 前端开发水平，提出 5-10 个犀利的技术问题。\n\n请注意：\n- 每次只问一个问题\n- 用户回答问题后请直接问下一个问题，而不要试图纠正候选人的错误；\n- 如果你认为用户连续几次回答的都不对，就少问一点；\n- 问完最后一个问题后，你可以问这样一个问题：上一份工作为什么离职？用户回答该问题后，请表示理解与支持。\n",
+                model=json.dumps({
+                    "provider": "openai",
+                    "name": "gpt-3.5-turbo",
+                    "mode": "chat",
+                    "completion_params": {
+                        "max_tokens": 300,
+                        "temperature": 0.8,
+                        "top_p": 0.9,
+                        "presence_penalty": 0.1,
+                        "frequency_penalty": 0.1
+                    }
+                }),
+                user_input_form=None
+            )
+        }
+    ],
+
+}
--- a/api/constants/model_template.py
+++ b/api/constants/model_template.py
@@ -96,258 +96,3 @@ model_templates = {
 }


-demo_model_templates = {
-    'en-US': [
-        {
-            'name': 'Translation Assistant',
-            'icon': '',
-            'icon_background': '',
-            'description': 'A multilingual translator that provides translation capabilities in multiple languages, translating user input into the language they need.',
-            'mode': 'completion',
-            'model_config': AppModelConfig(
-                provider='openai',
-                model_id='gpt-3.5-turbo-instruct',
-                configs={
-                    'prompt_template': "Please translate the following text into {{target_language}}:\n",
-                    'prompt_variables': [
-                        {
-                            "key": "target_language",
-                            "name": "Target Language",
-                            "description": "The language you want to translate into.",
-                            "type": "select",
-                            "default": "Chinese",
-                            'options': [
-                                'Chinese',
-                                'English',
-                                'Japanese',
-                                'French',
-                                'Russian',
-                                'German',
-                                'Spanish',
-                                'Korean',
-                                'Italian',
-                            ]
-                        }
-                    ],
-                    'completion_params': {
-                        'max_token': 1000,
-                        'temperature': 0,
-                        'top_p': 0,
-                        'presence_penalty': 0.1,
-                        'frequency_penalty': 0.1,
-                    }
-                },
-                opening_statement='',
-                suggested_questions=None,
-                pre_prompt="Please translate the following text into {{target_language}}:\n{{query}}\ntranslate:",
-                model=json.dumps({
-                    "provider": "openai",
-                    "name": "gpt-3.5-turbo-instruct",
-                    "mode": "completion",
-                    "completion_params": {
-                        "max_tokens": 1000,
-                        "temperature": 0,
-                        "top_p": 0,
-                        "presence_penalty": 0.1,
-                        "frequency_penalty": 0.1
-                    }
-                }),
-                user_input_form=json.dumps([
-                    {
-                        "select": {
-                            "label": "Target Language",
-                            "variable": "target_language",
-                            "description": "The language you want to translate into.",
-                            "default": "Chinese",
-                            "required": True,
-                            'options': [
-                                'Chinese',
-                                'English',
-                                'Japanese',
-                                'French',
-                                'Russian',
-                                'German',
-                                'Spanish',
-                                'Korean',
-                                'Italian',
-                            ]
-                        }
-                    },{
-                        "paragraph": {
-                            "label": "Query",
-                            "variable": "query",
-                            "required": True,
-                            "default": ""
-                        }
-                    }
-                ])
-            )
-        },
-        {
-            'name': 'AI Front-end Interviewer',
-            'icon': '',
-            'icon_background': '',
-            'description': 'A simulated front-end interviewer that tests the skill level of front-end development through questioning.',
-            'mode': 'chat',
-            'model_config': AppModelConfig(
-                provider='openai',
-                model_id='gpt-3.5-turbo',
-                configs={
-                    'introduction': 'Hi, welcome to our interview. I am the interviewer for this technology company, and I will test your web front-end development skills. Next, I will ask you some technical questions. Please answer them as thoroughly as possible. ',
-                    'prompt_template': "You will play the role of an interviewer for a technology company, examining the user's web front-end development skills and posing 5-10 sharp technical questions.\n\nPlease note:\n- Only ask one question at a time.\n- After the user answers a question, ask the next question directly, without trying to correct any mistakes made by the candidate.\n- If you think the user has not answered correctly for several consecutive questions, ask fewer questions.\n- After asking the last question, you can ask this question: Why did you leave your last job? After the user answers this question, please express your understanding and support.\n",
-                    'prompt_variables': [],
-                    'completion_params': {
-                        'max_token': 300,
-                        'temperature': 0.8,
-                        'top_p': 0.9,
-                        'presence_penalty': 0.1,
-                        'frequency_penalty': 0.1,
-                    }
-                },
-                opening_statement='Hi, welcome to our interview. I am the interviewer for this technology company, and I will test your web front-end development skills. Next, I will ask you some technical questions. Please answer them as thoroughly as possible. ',
-                suggested_questions=None,
-                pre_prompt="You will play the role of an interviewer for a technology company, examining the user's web front-end development skills and posing 5-10 sharp technical questions.\n\nPlease note:\n- Only ask one question at a time.\n- After the user answers a question, ask the next question directly, without trying to correct any mistakes made by the candidate.\n- If you think the user has not answered correctly for several consecutive questions, ask fewer questions.\n- After asking the last question, you can ask this question: Why did you leave your last job? After the user answers this question, please express your understanding and support.\n",
-                model=json.dumps({
-                    "provider": "openai",
-                    "name": "gpt-3.5-turbo",
-                    "mode": "chat",
-                    "completion_params": {
-                        "max_tokens": 300,
-                        "temperature": 0.8,
-                        "top_p": 0.9,
-                        "presence_penalty": 0.1,
-                        "frequency_penalty": 0.1
-                    }
-                }),
-                user_input_form=None
-            )
-        }
-    ],
-
-    'zh-Hans': [
-        {
-            'name': '翻译助手',
-            'icon': '',
-            'icon_background': '',
-            'description': '一个多语言翻译器，提供多种语言翻译能力，将用户输入的文本翻译成他们需要的语言。',
-            'mode': 'completion',
-            'model_config': AppModelConfig(
-                provider='openai',
-                model_id='gpt-3.5-turbo-instruct',
-                configs={
-                    'prompt_template': "请将以下文本翻译为{{target_language}}:\n",
-                    'prompt_variables': [
-                        {
-                            "key": "target_language",
-                            "name": "目标语言",
-                            "description": "翻译的目标语言",
-                            "type": "select",
-                            "default": "中文",
-                            "options": [
-                                "中文",
-                                "英文",
-                                "日语",
-                                "法语",
-                                "俄语",
-                                "德语",
-                                "西班牙语",
-                                "韩语",
-                                "意大利语",
-                            ]
-                        }
-                    ],
-                    'completion_params': {
-                        'max_token': 1000,
-                        'temperature': 0,
-                        'top_p': 0,
-                        'presence_penalty': 0.1,
-                        'frequency_penalty': 0.1,
-                    }
-                },
-                opening_statement='',
-                suggested_questions=None,
-                pre_prompt="请将以下文本翻译为{{target_language}}:\n{{query}}\n翻译:",
-                model=json.dumps({
-                    "provider": "openai",
-                    "name": "gpt-3.5-turbo-instruct",
-                    "mode": "completion",
-                    "completion_params": {
-                        "max_tokens": 1000,
-                        "temperature": 0,
-                        "top_p": 0,
-                        "presence_penalty": 0.1,
-                        "frequency_penalty": 0.1
-                    }
-                }),
-                user_input_form=json.dumps([
-                    {
-                        "select": {
-                            "label": "目标语言",
-                            "variable": "target_language",
-                            "description": "翻译的目标语言",
-                            "default": "中文",
-                            "required": True,
-                            'options': [
-                                "中文",
-                                "英文",
-                                "日语",
-                                "法语",
-                                "俄语",
-                                "德语",
-                                "西班牙语",
-                                "韩语",
-                                "意大利语",
-                            ]
-                        }
-                    },{
-                        "paragraph": {
-                            "label": "文本内容",
-                            "variable": "query",
-                            "required": True,
-                            "default": ""
-                        }
-                    }
-                ])
-            )
-        },
-        {
-            'name': 'AI 前端面试官',
-            'icon': '',
-            'icon_background': '',
-            'description': '一个模拟的前端面试官，通过提问的方式对前端开发的技能水平进行检验。',
-            'mode': 'chat',
-            'model_config': AppModelConfig(
-                provider='openai',
-                model_id='gpt-3.5-turbo',
-                configs={
-                    'introduction': '你好，欢迎来参加我们的面试，我是这家科技公司的面试官，我将考察你的 Web 前端开发技能。接下来我会向您提出一些技术问题，请您尽可能详尽地回答。',
-                    'prompt_template': "你将扮演一个科技公司的面试官，考察用户作为候选人的 Web 前端开发水平，提出 5-10 个犀利的技术问题。\n\n请注意：\n- 每次只问一个问题\n- 用户回答问题后请直接问下一个问题，而不要试图纠正候选人的错误；\n- 如果你认为用户连续几次回答的都不对，就少问一点；\n- 问完最后一个问题后，你可以问这样一个问题：上一份工作为什么离职？用户回答该问题后，请表示理解与支持。\n",
-                    'prompt_variables': [],
-                    'completion_params': {
-                        'max_token': 300,
-                        'temperature': 0.8,
-                        'top_p': 0.9,
-                        'presence_penalty': 0.1,
-                        'frequency_penalty': 0.1,
-                    }
-                },
-                opening_statement='你好，欢迎来参加我们的面试，我是这家科技公司的面试官，我将考察你的 Web 前端开发技能。接下来我会向您提出一些技术问题，请您尽可能详尽地回答。',
-                suggested_questions=None,
-                pre_prompt="你将扮演一个科技公司的面试官，考察用户作为候选人的 Web 前端开发水平，提出 5-10 个犀利的技术问题。\n\n请注意：\n- 每次只问一个问题\n- 用户回答问题后请直接问下一个问题，而不要试图纠正候选人的错误；\n- 如果你认为用户连续几次回答的都不对，就少问一点；\n- 问完最后一个问题后，你可以问这样一个问题：上一份工作为什么离职？用户回答该问题后，请表示理解与支持。\n",
-                model=json.dumps({
-                    "provider": "openai",
-                    "name": "gpt-3.5-turbo",
-                    "mode": "chat",
-                    "completion_params": {
-                        "max_tokens": 300,
-                        "temperature": 0.8,
-                        "top_p": 0.9,
-                        "presence_penalty": 0.1,
-                        "frequency_penalty": 0.1
-                    }
-                }),
-                user_input_form=None
-            )
-        }
-    ],
-}
--- a/api/controllers/console/admin.py
+++ b/api/controllers/console/admin.py
@@ -6,7 +6,7 @@ from controllers.console.wraps import only_edition_cloud
 from extensions.ext_database import db
 from flask import request
 from flask_restful import Resource, reqparse
-from libs.helper import supported_language
+from constants.languages import supported_language
 from models.model import App, InstalledApp, RecommendedApp
 from werkzeug.exceptions import NotFound, Unauthorized

--- a/api/controllers/console/app/app.py
+++ b/api/controllers/console/app/app.py
@@ -3,7 +3,8 @@ import json
 import logging
 from datetime import datetime

-from constants.model_template import demo_model_templates, model_templates
+from constants.model_template import model_templates
+from constants.languages import demo_model_templates, languages
 from controllers.console import api
 from controllers.console.app.error import AppNotFoundError, ProviderNotInitializeError
 from controllers.console.setup import setup_required
@@ -211,7 +212,7 @@ class AppTemplateApi(Resource):

        templates = demo_model_templates.get(interface_language)
        if not templates:
-            templates = demo_model_templates.get('en-US')
+            templates = demo_model_templates.get(languages[0])

        return {'data': templates}

--- a/api/controllers/console/app/site.py
+++ b/api/controllers/console/app/site.py
@@ -7,7 +7,7 @@ from extensions.ext_database import db
 from fields.app_fields import app_site_fields
 from flask_login import current_user
 from flask_restful import Resource, marshal_with, reqparse
-from libs.helper import supported_language
+from constants.languages import supported_language
 from libs.login import login_required
 from models.model import Site
 from werkzeug.exceptions import Forbidden, NotFound
--- a/api/controllers/console/auth/activate.py
+++ b/api/controllers/console/auth/activate.py
@@ -6,7 +6,8 @@ from controllers.console import api
 from controllers.console.error import AlreadyActivateError
 from extensions.ext_database import db
 from flask_restful import Resource, reqparse
-from libs.helper import email, str_len, supported_language, timezone
+from libs.helper import email, str_len, timezone
+from constants.languages import supported_language
 from libs.password import hash_password, valid_password
 from models.account import AccountStatus, Tenant
 from services.account_service import RegisterService
--- a/api/controllers/console/auth/oauth.py
+++ b/api/controllers/console/auth/oauth.py
@@ -3,6 +3,7 @@ from datetime import datetime
 from typing import Optional

 import requests
+from constants.languages import languages
 from extensions.ext_database import db
 from flask import current_app, redirect, request
 from flask_restful import Resource
@@ -106,11 +107,11 @@ def _generate_account(provider: str, user_info: OAuthUserInfo):
        )

        # Set interface language
-        preferred_lang = request.accept_languages.best_match(['zh', 'en'])
-        if preferred_lang == 'zh':
-            interface_language = 'zh-Hans'
+        preferred_lang = request.accept_languages.best_match(languages)
+        if preferred_lang and preferred_lang in languages:
+            interface_language = preferred_lang
        else:
-            interface_language = 'en-US'
+            interface_language = languages[0]
        account.interface_language = interface_language
        db.session.commit()

--- a/api/controllers/console/explore/recommended_app.py
+++ b/api/controllers/console/explore/recommended_app.py
@@ -9,6 +9,7 @@ from libs.login import login_required
 from models.model import App, InstalledApp, RecommendedApp
 from services.account_service import TenantService
 from sqlalchemy import and_
+from constants.languages import languages

 app_fields = {
    'id': fields.String,
@@ -44,7 +45,7 @@ class RecommendedAppListApi(Resource):
    @account_initialization_required
    @marshal_with(recommended_app_list_fields)
    def get(self):
-        language_prefix = current_user.interface_language if current_user.interface_language else 'en-US'
+        language_prefix = current_user.interface_language if current_user.interface_language else languages[0]

        recommended_apps = db.session.query(RecommendedApp).filter(
            RecommendedApp.is_listed == True,
--- a/api/controllers/console/workspace/account.py
+++ b/api/controllers/console/workspace/account.py
@@ -11,7 +11,8 @@ from extensions.ext_database import db
 from flask import current_app, request
 from flask_login import current_user
 from flask_restful import Resource, fields, marshal_with, reqparse
-from libs.helper import TimestampField, supported_language, timezone
+from libs.helper import TimestampField, timezone
+from constants.languages import supported_language
 from libs.login import login_required
 from models.account import AccountIntegrate, InvitationCode
 from services.account_service import AccountService
--- a/api/core/tools/provider/builtin/chart/chart.yaml
+++ b/api/core/tools/provider/builtin/chart/chart.yaml
@@ -4,8 +4,10 @@ identity:
  label:
    en_US: ChartGenerator
    zh_Hans: 图表生成
+    pt_BR: Gerador de gráficos
  description:
    en_US: Chart Generator is a tool for generating statistical charts like bar chart, line chart, pie chart, etc.
    zh_Hans: 图表生成是一个用于生成可视化图表的工具，你可以通过它来生成柱状图、折线图、饼图等各类图表
+    pt_BR: O Gerador de gráficos é uma ferramenta para gerar gráficos estatísticos como gráfico de barras, gráfico de linhas, gráfico de pizza, etc.
  icon: icon.png
 credentails_for_provider:
--- a/api/core/tools/provider/builtin/chart/tools/bar.yaml
+++ b/api/core/tools/provider/builtin/chart/tools/bar.yaml
@@ -4,11 +4,13 @@ identity:
  label:
    en_US: Bar Chart
    zh_Hans: 柱状图
+    pt_BR: Gráfico de barras
  icon: icon.svg
 description:
  human:
    en_US: Bar chart
    zh_Hans: 柱状图
+    pt_BR: Gráfico de barras
  llm: generate a bar chart with input data
 parameters:
  - name: data
@@ -17,9 +19,11 @@ parameters:
    label:
      en_US: data
      zh_Hans: 数据
+      pt_BR: dados
    human_description:
      en_US: data for generating bar chart
      zh_Hans: 用于生成柱状图的数据
+      pt_BR: dados para gerar gráfico de barras
    llm_description: data for generating bar chart, data should be a string contains a list of numbers like "1;2;3;4;5"
    form: llm
  - name: x_axis
@@ -28,8 +32,10 @@ parameters:
    label:
      en_US: X Axis
      zh_Hans: x 轴
+      pt_BR: Eixo X
    human_description:
      en_US: X axis for bar chart
      zh_Hans: 柱状图的 x 轴
+      pt_BR: Eixo X para gráfico de barras
    llm_description: x axis for bar chart, x axis should be a string contains a list of texts like "a;b;c;1;2" in order to match the data
    form: llm
--- a/api/core/tools/provider/builtin/chart/tools/line.yaml
+++ b/api/core/tools/provider/builtin/chart/tools/line.yaml
@@ -4,11 +4,13 @@ identity:
  label:
    en_US: Linear Chart
    zh_Hans: 线性图表
+    pt_BR: Gráfico linear
  icon: icon.svg
 description:
  human:
    en_US: linear chart
    zh_Hans: 线性图表
+    pt_BR: Gráfico linear
  llm: generate a linear chart with input data
 parameters:
  - name: data
@@ -17,9 +19,11 @@ parameters:
    label:
      en_US: data
      zh_Hans: 数据
+      pt_BR: dados
    human_description:
      en_US: data for generating linear chart
      zh_Hans: 用于生成线性图表的数据
+      pt_BR: dados para gerar gráfico linear
    llm_description: data for generating linear chart, data should be a string contains a list of numbers like "1;2;3;4;5"
    form: llm
  - name: x_axis
@@ -28,8 +32,10 @@ parameters:
    label:
      en_US: X Axis
      zh_Hans: x 轴
+      pt_BR: Eixo X
    human_description:
      en_US: X axis for linear chart
      zh_Hans: 线性图表的 x 轴
+      pt_BR: Eixo X para gráfico linear
    llm_description: x axis for linear chart, x axis should be a string contains a list of texts like "a;b;c;1;2" in order to match the data
    form: llm
--- a/api/core/tools/provider/builtin/chart/tools/pie.yaml
+++ b/api/core/tools/provider/builtin/chart/tools/pie.yaml
@@ -4,11 +4,13 @@ identity:
  label:
    en_US: Pie Chart
    zh_Hans: 饼图
+    pt_BR: Gráfico de pizza
  icon: icon.svg
 description:
  human:
    en_US: Pie chart
    zh_Hans: 饼图
+    pt_BR: Gráfico de pizza
  llm: generate a pie chart with input data
 parameters:
  - name: data
@@ -17,9 +19,11 @@ parameters:
    label:
      en_US: data
      zh_Hans: 数据
+      pt_BR: dados
    human_description:
      en_US: data for generating pie chart
      zh_Hans: 用于生成饼图的数据
+      pt_BR: dados para gerar gráfico de pizza
    llm_description: data for generating pie chart, data should be a string contains a list of numbers like "1;2;3;4;5"
    form: llm
  - name: categories
@@ -28,8 +32,10 @@ parameters:
    label:
      en_US: Categories
      zh_Hans: 分类
+      pt_BR: Categorias
    human_description:
      en_US: Categories for pie chart
      zh_Hans: 饼图的分类
+      pt_BR: Categorias para gráfico de pizza
    llm_description: categories for pie chart, categories should be a string contains a list of texts like "a;b;c;1;2" in order to match the data, each category should be split by ";"
    form: llm
--- a/api/core/tools/provider/builtin/dalle/dalle.yaml
+++ b/api/core/tools/provider/builtin/dalle/dalle.yaml
@@ -4,9 +4,11 @@ identity:
  label:
    en_US: DALL-E
    zh_Hans: DALL-E 绘画
+    pt_BR: DALL-E
  description:
    en_US: DALL-E art
    zh_Hans: DALL-E 绘画
+    pt_BR: DALL-E art
  icon: icon.png
 credentails_for_provider:
  openai_api_key:
@@ -15,33 +17,42 @@ credentails_for_provider:
    label:
      en_US: OpenAI API key
      zh_Hans: OpenAI API key
+      pt_BR: OpenAI API key
    help:
      en_US: Please input your OpenAI API key
      zh_Hans: 请输入你的 OpenAI API key
+      pt_BR: Please input your OpenAI API key
    placeholder:
      en_US: Please input your OpenAI API key
      zh_Hans: 请输入你的 OpenAI API key
+      pt_BR: Please input your OpenAI API key
  openai_organizaion_id:
    type: text-input
    required: false
    label:
      en_US: OpenAI organization ID
      zh_Hans: OpenAI organization ID
+      pt_BR: OpenAI organization ID
    help:
      en_US: Please input your OpenAI organization ID
      zh_Hans: 请输入你的 OpenAI organization ID
+      pt_BR: Please input your OpenAI organization ID
    placeholder:
      en_US: Please input your OpenAI organization ID
      zh_Hans: 请输入你的 OpenAI organization ID
+      pt_BR: Please input your OpenAI organization ID
  openai_base_url:
    type: text-input
    required: false
    label:
      en_US: OpenAI base URL
      zh_Hans: OpenAI base URL
+      pt_BR: OpenAI base URL
    help:
      en_US: Please input your OpenAI base URL
      zh_Hans: 请输入你的 OpenAI base URL
+      pt_BR: Please input your OpenAI base URL
    placeholder:
      en_US: Please input your OpenAI base URL
      zh_Hans: 请输入你的 OpenAI base URL
+      pt_BR: Please input your OpenAI base URL
--- a/api/core/tools/provider/builtin/dalle/tools/dalle2.yaml
+++ b/api/core/tools/provider/builtin/dalle/tools/dalle2.yaml
@@ -7,10 +7,12 @@ identity:
  description:
    en_US: DALL-E 2 is a powerful drawing tool that can draw the image you want based on your prompt
    zh_Hans: DALL-E 2 是一个强大的绘画工具，它可以根据您的提示词绘制出您想要的图像
+    pt_BR: DALL-E 2 is a powerful drawing tool that can draw the image you want based on your prompt
 description:
  human:
    en_US: DALL-E is a text to image tool
    zh_Hans: DALL-E 是一个文本到图像的工具
+    pt_BR: DALL-E is a text to image tool
  llm: DALL-E is a tool used to generate images from text
 parameters:
  - name: prompt
@@ -19,9 +21,11 @@ parameters:
    label:
      en_US: Prompt
      zh_Hans: 提示词
+      pt_BR: Prompt
    human_description:
      en_US: Image prompt, you can check the official documentation of DallE 2
      zh_Hans: 图像提示词，您可以查看DallE 2 的官方文档
+      pt_BR: Image prompt, you can check the official documentation of DallE 2
    llm_description: Image prompt of DallE 2, you should describe the image you want to generate as a list of words as possible as detailed
    form: llm
  - name: size
@@ -30,23 +34,28 @@ parameters:
    human_description:
      en_US: used for selecting the image size
      zh_Hans: 用于选择图像大小
+      pt_BR: used for selecting the image size
    label:
      en_US: Image size
      zh_Hans: 图像大小
+      pt_BR: Image size
    form: form
    options:
      - value: small
        label:
          en_US: Small(256x256)
          zh_Hans: 小(256x256)
+          pt_BR: Small(256x256)
      - value: medium
        label:
          en_US: Medium(512x512)
          zh_Hans: 中(512x512)
+          pt_BR: Medium(512x512)
      - value: large
        label:
          en_US: Large(1024x1024)
          zh_Hans: 大(1024x1024)
+          pt_BR: Large(1024x1024)
    default: large
  - name: n
    type: number
@@ -54,9 +63,11 @@ parameters:
    human_description:
      en_US: used for selecting the number of images
      zh_Hans: 用于选择图像数量
+      pt_BR: used for selecting the number of images
    label:
      en_US: Number of images
      zh_Hans: 图像数量
+      pt_BR: Number of images
    form: form
    default: 1
    min: 1
--- a/api/core/tools/provider/builtin/dalle/tools/dalle3.yaml
+++ b/api/core/tools/provider/builtin/dalle/tools/dalle3.yaml
@@ -4,13 +4,16 @@ identity:
  label:
    en_US: DALL-E 3
    zh_Hans: DALL-E 3 绘画
+    pt_BR: DALL-E 3
  description:
    en_US: DALL-E 3 is a powerful drawing tool that can draw the image you want based on your prompt, compared to DallE 2, DallE 3 has stronger drawing ability, but it will consume more resources
    zh_Hans: DALL-E 3 是一个强大的绘画工具，它可以根据您的提示词绘制出您想要的图像，相比于DallE 2， DallE 3拥有更强的绘画能力，但会消耗更多的资源
+    pt_BR: DALL-E 3 is a powerful drawing tool that can draw the image you want based on your prompt, compared to DallE 2, DallE 3 has stronger drawing ability, but it will consume more resources
 description:
  human:
    en_US: DALL-E is a text to image tool
    zh_Hans: DALL-E 是一个文本到图像的工具
+    pt_BR: DALL-E is a text to image tool
  llm: DALL-E is a tool used to generate images from text
 parameters:
  - name: prompt
@@ -19,9 +22,11 @@ parameters:
    label:
      en_US: Prompt
      zh_Hans: 提示词
+      pt_BR: Prompt
    human_description:
      en_US: Image prompt, you can check the official documentation of DallE 3
      zh_Hans: 图像提示词，您可以查看DallE 3 的官方文档
+      pt_BR: Image prompt, you can check the official documentation of DallE 3
    llm_description: Image prompt of DallE 3, you should describe the image you want to generate as a list of words as possible as detailed
    form: llm
  - name: size
@@ -30,23 +35,28 @@ parameters:
    human_description:
      en_US: selecting the image size
      zh_Hans: 选择图像大小
+      pt_BR: selecting the image size
    label:
      en_US: Image size
      zh_Hans: 图像大小
+      pt_BR: Image size
    form: form
    options:
      - value: square
        label:
          en_US: Squre(1024x1024)
          zh_Hans: 方(1024x1024)
+          pt_BR: Squre(1024x1024)
      - value: vertical
        label:
          en_US: Vertical(1024x1792)
          zh_Hans: 竖屏(1024x1792)
+          pt_BR: Vertical(1024x1792)
      - value: horizontal
        label:
          en_US: Horizontal(1792x1024)
          zh_Hans: 横屏(1792x1024)
+          pt_BR: Horizontal(1792x1024)
    default: square
  - name: n
    type: number
@@ -54,9 +64,11 @@ parameters:
    human_description:
      en_US: selecting the number of images
      zh_Hans: 选择图像数量
+      pt_BR: selecting the number of images
    label:
      en_US: Number of images
      zh_Hans: 图像数量
+      pt_BR: Number of images
    form: form
    min: 1
    max: 1
@@ -67,19 +79,23 @@ parameters:
    human_description:
      en_US: selecting the image quality
      zh_Hans: 选择图像质量
+      pt_BR: selecting the image quality
    label:
      en_US: Image quality
      zh_Hans: 图像质量
+      pt_BR: Image quality
    form: form
    options:
      - value: standard
        label:
          en_US: Standard
          zh_Hans: 标准
+          pt_BR: Standard
      - value: hd
        label:
          en_US: HD
          zh_Hans: 高清
+          pt_BR: HD
    default: standard
  - name: style
    type: select
@@ -87,17 +103,21 @@ parameters:
    human_description:
      en_US: selecting the image style
      zh_Hans: 选择图像风格
+      pt_BR: selecting the image style
    label:
      en_US: Image style
      zh_Hans: 图像风格
+      pt_BR: Image style
    form: form
    options:
      - value: vivid
        label:
          en_US: Vivid
          zh_Hans: 生动
+          pt_BR: Vivid
      - value: natural
        label:
          en_US: Natural
          zh_Hans: 自然
+          pt_BR: Natural
    default: vivid
--- a/api/core/tools/provider/builtin/google/google.yaml
+++ b/api/core/tools/provider/builtin/google/google.yaml
@@ -4,9 +4,11 @@ identity:
  label:
    en_US: Google
    zh_Hans: Google
+    pt_BR: Google
  description:
    en_US: Google
    zh_Hans: GoogleSearch
+    pt_BR: Google
  icon: icon.svg
 credentails_for_provider:
  serpapi_api_key:
@@ -15,10 +17,13 @@ credentails_for_provider:
    label:
      en_US: SerpApi API key
      zh_Hans: SerpApi API key
+      pt_BR: SerpApi API key
    placeholder:
      en_US: Please input your SerpApi API key
      zh_Hans: 请输入你的 SerpApi API key
+      pt_BR: Please input your SerpApi API key
    help:
      en_US: Get your SerpApi API key from SerpApi
      zh_Hans: 从 SerpApi 获取您的 SerpApi API key
+      pt_BR: Get your SerpApi API key from SerpApi
    url: https://serpapi.com/manage-api-key
--- a/api/core/tools/provider/builtin/google/tools/google_search.yaml
+++ b/api/core/tools/provider/builtin/google/tools/google_search.yaml
@@ -4,10 +4,12 @@ identity:
  label:
    en_US: GoogleSearch
    zh_Hans: 谷歌搜索
+    pt_BR: GoogleSearch
 description:
  human:
    en_US: A tool for performing a Google SERP search and extracting snippets and webpages.Input should be a search query.
    zh_Hans: 一个用于执行 Google SERP 搜索并提取片段和网页的工具。输入应该是一个搜索查询。
+    pt_BR: A tool for performing a Google SERP search and extracting snippets and webpages.Input should be a search query.
  llm: A tool for performing a Google SERP search and extracting snippets and webpages.Input should be a search query.
 parameters:
  - name: query
@@ -16,9 +18,11 @@ parameters:
    label:
      en_US: Query string
      zh_Hans: 查询语句
+      pt_BR: Query string
    human_description:
      en_US: used for searching
      zh_Hans: 用于搜索网页内容
+      pt_BR: used for searching
    llm_description: key words for searching
    form: llm
  - name: result_type
@@ -29,15 +33,19 @@ parameters:
        label:
          en_US: text
          zh_Hans: 文本
+          pt_BR: texto
      - value: link
        label:
          en_US: link
          zh_Hans: 链接
+          pt_BR: link
    default: link
    label:
      en_US: Result type
      zh_Hans: 结果类型
+      pt_BR: Result type
    human_description:
      en_US: used for selecting the result type, text or link
      zh_Hans: 用于选择结果类型，使用文本还是链接进行展示
+      pt_BR: used for selecting the result type, text or link
    form: form
--- a/api/core/tools/provider/builtin/stablediffusion/stablediffusion.yaml
+++ b/api/core/tools/provider/builtin/stablediffusion/stablediffusion.yaml
@@ -4,9 +4,11 @@ identity:
  label:
    en_US: Stable Diffusion
    zh_Hans: Stable Diffusion
+    pt_BR: Stable Diffusion
  description:
    en_US: Stable Diffusion is a tool for generating images which can be deployed locally.
    zh_Hans: Stable Diffusion 是一个可以在本地部署的图片生成的工具。
+    pt_BR: Stable Diffusion is a tool for generating images which can be deployed locally.
  icon: icon.png
 credentails_for_provider:
  base_url:
@@ -15,15 +17,19 @@ credentails_for_provider:
    label:
      en_US: Base URL
      zh_Hans: StableDiffusion服务器的Base URL
+      pt_BR: Base URL
    placeholder:
      en_US: Please input your StableDiffusion server's Base URL
      zh_Hans: 请输入你的 StableDiffusion 服务器的 Base URL
+      pt_BR: Please input your StableDiffusion server's Base URL
  model:
    type: text-input
    required: true
    label:
      en_US: Model
      zh_Hans: 模型
+      pt_BR: Model
    placeholder:
      en_US: Please input your model
      zh_Hans: 请输入你的模型名称
+      pt_BR: Please input your model
--- a/api/core/tools/provider/builtin/stablediffusion/tools/stable_diffusion.yaml
+++ b/api/core/tools/provider/builtin/stablediffusion/tools/stable_diffusion.yaml
@@ -4,10 +4,12 @@ identity:
  label:
    en_US: Stable Diffusion WebUI
    zh_Hans: Stable Diffusion WebUI
+    pt_BR: Stable Diffusion WebUI
 description:
  human:
    en_US: A tool for generating images which can be deployed locally, you can use stable-diffusion-webui to deploy it.
    zh_Hans: 一个可以在本地部署的图片生成的工具，您可以使用 stable-diffusion-webui 来部署它。
+    pt_BR: A tool for generating images which can be deployed locally, you can use stable-diffusion-webui to deploy it.
  llm: draw the image you want based on your prompt.
 parameters:
  - name: prompt
@@ -16,9 +18,11 @@ parameters:
    label:
      en_US: Prompt
      zh_Hans: 提示词
+      pt_BR: Prompt
    human_description:
      en_US: Image prompt, you can check the official documentation of Stable Diffusion
      zh_Hans: 图像提示词，您可以查看 Stable Diffusion 的官方文档
+      pt_BR: Image prompt, you can check the official documentation of Stable Diffusion
    llm_description: Image prompt of Stable Diffusion, you should describe the image you want to generate as a list of words as possible as detailed, the prompt must be written in English.
    form: llm
  - name: lora
@@ -27,9 +31,11 @@ parameters:
    label:
      en_US: Lora
      zh_Hans: Lora
+      pt_BR: Lora
    human_description:
      en_US: Lora
      zh_Hans: Lora
+      pt_BR: Lora
    form: form
  - name: steps
    type: number
@@ -37,9 +43,11 @@ parameters:
    label:
      en_US: Steps
      zh_Hans: Steps
+      pt_BR: Steps
    human_description:
      en_US: Steps
      zh_Hans: Steps
+      pt_BR: Steps
    form: form
    default: 10
  - name: width
@@ -48,9 +56,11 @@ parameters:
    label:
      en_US: Width
      zh_Hans: Width
+      pt_BR: Width
    human_description:
      en_US: Width
      zh_Hans: Width
+      pt_BR: Width
    form: form
    default: 1024
  - name: height
@@ -59,9 +69,11 @@ parameters:
    label:
      en_US: Height
      zh_Hans: Height
+      pt_BR: Height
    human_description:
      en_US: Height
      zh_Hans: Height
+      pt_BR: Height
    form: form
    default: 1024
  - name: negative_prompt
@@ -70,8 +82,10 @@ parameters:
    label:
      en_US: Negative prompt
      zh_Hans: Negative prompt
+      pt_BR: Negative prompt
    human_description:
      en_US: Negative prompt
      zh_Hans: Negative prompt
+      pt_BR: Negative prompt
    form: form
    default: bad art, ugly, deformed, watermark, duplicated, discontinuous lines
--- a/api/core/tools/provider/builtin/time/time.yaml
+++ b/api/core/tools/provider/builtin/time/time.yaml
@@ -4,8 +4,10 @@ identity:
  label:
    en_US: CurrentTime
    zh_Hans: 时间
+    pt_BR: CurrentTime
  description:
    en_US: A tool for getting the current time.
    zh_Hans: 一个用于获取当前时间的工具。
+    pt_BR: A tool for getting the current time.
  icon: icon.svg
 credentails_for_provider:
--- a/api/core/tools/provider/builtin/time/tools/current_time.yaml
+++ b/api/core/tools/provider/builtin/time/tools/current_time.yaml
@@ -4,9 +4,11 @@ identity:
  label:
    en_US: Current Time
    zh_Hans: 获取当前时间
+    pt_BR: Current Time
 description:
  human:
    en_US: A tool for getting the current time.
    zh_Hans: 一个用于获取当前时间的工具。
+    pt_BR: A tool for getting the current time.
  llm: A tool for getting the current time.
 parameters:
--- a/api/core/tools/provider/builtin/vectorizer/tools/vectorizer.yaml
+++ b/api/core/tools/provider/builtin/vectorizer/tools/vectorizer.yaml
@@ -4,10 +4,12 @@ identity:
  label:
    en_US: Vectorizer.AI
    zh_Hans: Vectorizer.AI
+    pt_BR: Vectorizer.AI
 description:
  human:
    en_US: Convert your PNG and JPG images to SVG vectors quickly and easily. Fully automatically. Using AI.
    zh_Hans: 一个将 PNG 和 JPG 图像快速轻松地转换为 SVG 矢量图的工具。
+    pt_BR: Convert your PNG and JPG images to SVG vectors quickly and easily. Fully automatically. Using AI.
  llm: A tool for converting images to SVG vectors. you should input the image id as the input of this tool. the image id can be got from parameters.
 parameters:
  - name: mode
@@ -18,15 +20,19 @@ parameters:
        label:
          en_US: production
          zh_Hans: 生产模式
+          pt_BR: production
      - value: test
        label:
          en_US: test
          zh_Hans: 测试模式
+          pt_BR: test
    default: test
    label:
      en_US: Mode
      zh_Hans: 模式
+      pt_BR: Mode
    human_description:
      en_US: It is free to integrate with and test out the API in test mode, no subscription required.
      zh_Hans: 在测试模式下，可以免费测试API。
+      pt_BR: It is free to integrate with and test out the API in test mode, no subscription required.
    form: form
--- a/api/core/tools/provider/builtin/vectorizer/vectorizer.yaml
+++ b/api/core/tools/provider/builtin/vectorizer/vectorizer.yaml
@@ -4,9 +4,11 @@ identity:
  label:
    en_US: Vectorizer.AI
    zh_Hans: Vectorizer.AI
+    pt_BR: Vectorizer.AI
  description:
    en_US: Convert your PNG and JPG images to SVG vectors quickly and easily. Fully automatically. Using AI.
    zh_Hans: 一个将 PNG 和 JPG 图像快速轻松地转换为 SVG 矢量图的工具。
+    pt_BR: Convert your PNG and JPG images to SVG vectors quickly and easily. Fully automatically. Using AI.
  icon: icon.png
 credentails_for_provider:
  api_key_name:
@@ -15,12 +17,15 @@ credentails_for_provider:
    label:
      en_US: Vectorizer.AI API Key name
      zh_Hans: Vectorizer.AI API Key name
+      pt_BR: Vectorizer.AI API Key name
    placeholder:
      en_US: Please input your Vectorizer.AI ApiKey name
      zh_Hans: 请输入你的 Vectorizer.AI ApiKey name
+      pt_BR: Please input your Vectorizer.AI ApiKey name
    help:
      en_US: Get your Vectorizer.AI API Key from Vectorizer.AI.
      zh_Hans: 从 Vectorizer.AI 获取您的 Vectorizer.AI API Key。
+      pt_BR: Get your Vectorizer.AI API Key from Vectorizer.AI.
    url: https://vectorizer.ai/api
  api_key_value:
    type: secret-input
@@ -28,9 +33,12 @@ credentails_for_provider:
    label:
      en_US: Vectorizer.AI API Key
      zh_Hans: Vectorizer.AI API Key
+      pt_BR: Vectorizer.AI API Key
    placeholder:
      en_US: Please input your Vectorizer.AI ApiKey
      zh_Hans: 请输入你的 Vectorizer.AI ApiKey
+      pt_BR: Please input your Vectorizer.AI ApiKey
    help:
      en_US: Get your Vectorizer.AI API Key from Vectorizer.AI.
      zh_Hans: 从 Vectorizer.AI 获取您的 Vectorizer.AI API Key。
+      pt_BR: Get your Vectorizer.AI API Key from Vectorizer.AI.
--- a/api/core/tools/provider/builtin/webscraper/tools/webscraper.yaml
+++ b/api/core/tools/provider/builtin/webscraper/tools/webscraper.yaml
@@ -4,10 +4,12 @@ identity:
  label:
    en_US: Web Scraper
    zh_Hans: 网页爬虫
+    pt_BR: Web Scraper
 description:
  human:
    en_US: A tool for scraping webpages.
    zh_Hans: 一个用于爬取网页的工具。
+    pt_BR: A tool for scraping webpages.
  llm: A tool for scraping webpages. Input should be a URL.
 parameters:
  - name: url
@@ -16,9 +18,11 @@ parameters:
    label:
      en_US: URL
      zh_Hans: 网页链接
+      pt_BR: URL
    human_description:
      en_US: used for linking to webpages
      zh_Hans: 用于链接到网页
+      pt_BR: used for linking to webpages
    llm_description: url for scraping
    form: llm
  - name: user_agent
@@ -27,8 +31,10 @@ parameters:
    label:
      en_US: User Agent
      zh_Hans: User Agent
+      pt_BR: User Agent
    human_description:
      en_US: used for identifying the browser.
      zh_Hans: 用于识别浏览器。
+      pt_BR: used for identifying the browser.
    form: form
    default: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/100.0.1000.0 Safari/537.36
--- a/api/core/tools/provider/builtin/webscraper/webscraper.yaml
+++ b/api/core/tools/provider/builtin/webscraper/webscraper.yaml
@@ -4,8 +4,10 @@ identity:
  label:
    en_US: WebScraper
    zh_Hans: 网页抓取
+    pt_BR: WebScraper
  description:
    en_US: Web Scrapper tool kit is used to scrape web
    zh_Hans: 一个用于抓取网页的工具。
+    pt_BR: Web Scrapper tool kit is used to scrape web
  icon: icon.svg
 credentails_for_provider:
--- a/api/core/tools/provider/builtin/wikipedia/tools/wikipedia_search.yaml
+++ b/api/core/tools/provider/builtin/wikipedia/tools/wikipedia_search.yaml
@@ -4,11 +4,13 @@ identity:
  label:
    en_US: WikipediaSearch
    zh_Hans: 维基百科搜索
+    pt_BR: WikipediaSearch
  icon: icon.svg
 description:
  human:
    en_US: A tool for performing a Wikipedia search and extracting snippets and webpages.
    zh_Hans: 一个用于执行维基百科搜索并提取片段和网页的工具。
+    pt_BR: A tool for performing a Wikipedia search and extracting snippets and webpages.
  llm: A tool for performing a Wikipedia search and extracting snippets and webpages. Input should be a search query.
 parameters:
  - name: query
@@ -17,8 +19,10 @@ parameters:
    label:
      en_US: Query string
      zh_Hans: 查询语句
+      pt_BR: Query string
    human_description:
      en_US: key words for searching
      zh_Hans: 查询关键词
+      pt_BR: key words for searching
    llm_description: key words for searching
    form: llm
--- a/api/core/tools/provider/builtin/wikipedia/wikipedia.yaml
+++ b/api/core/tools/provider/builtin/wikipedia/wikipedia.yaml
@@ -4,8 +4,10 @@ identity:
  label:
    en_US: Wikipedia
    zh_Hans: 维基百科
+    pt_BR: Wikipedia
  description:
    en_US: Wikipedia is a free online encyclopedia, created and edited by volunteers around the world.
    zh_Hans: 维基百科是一个由全世界的志愿者创建和编辑的免费在线百科全书。
+    pt_BR: Wikipedia is a free online encyclopedia, created and edited by volunteers around the world.
  icon: icon.svg
 credentails_for_provider:
--- a/api/core/tools/provider/builtin/wolframalpha/tools/wolframalpha.yaml
+++ b/api/core/tools/provider/builtin/wolframalpha/tools/wolframalpha.yaml
@@ -4,10 +4,12 @@ identity:
  label:
    en_US: WolframAlpha
    zh_Hans: WolframAlpha
+    pt_BR: WolframAlpha
 description:
  human:
    en_US: WolframAlpha is a powerful computational knowledge engine.
    zh_Hans: WolframAlpha 是一个强大的计算知识引擎。
+    pt_BR: WolframAlpha is a powerful computational knowledge engine.
  llm: WolframAlpha is a powerful computational knowledge engine. one single query can get the answer of a question.
 parameters:
  - name: query
@@ -16,8 +18,10 @@ parameters:
    label:
      en_US: Query string
      zh_Hans: 计算语句
+      pt_BR: Query string
    human_description:
      en_US: used for calculating
      zh_Hans: 用于计算最终结果
+      pt_BR: used for calculating
    llm_description: a single query for calculating
    form: llm
--- a/api/core/tools/provider/builtin/wolframalpha/wolframalpha.yaml
+++ b/api/core/tools/provider/builtin/wolframalpha/wolframalpha.yaml
@@ -4,9 +4,11 @@ identity:
  label:
    en_US: WolframAlpha
    zh_Hans: WolframAlpha
+    pt_BR: WolframAlpha
  description:
    en_US: WolframAlpha is a powerful computational knowledge engine.
    zh_Hans: WolframAlpha 是一个强大的计算知识引擎。
+    pt_BR: WolframAlpha is a powerful computational knowledge engine.
  icon: icon.svg
 credentails_for_provider:
  appid:
@@ -15,10 +17,13 @@ credentails_for_provider:
    label:
      en_US: WolframAlpha AppID
      zh_Hans: WolframAlpha AppID
+      pt_BR: WolframAlpha AppID
    placeholder:
      en_US: Please input your WolframAlpha AppID
      zh_Hans: 请输入你的 WolframAlpha AppID
+      pt_BR: Please input your WolframAlpha AppID
    help:
      en_US: Get your WolframAlpha AppID from WolframAlpha, please use "full results" api access.
      zh_Hans: 从 WolframAlpha 获取您的 WolframAlpha AppID，请使用 "full results" API。
+      pt_BR: Get your WolframAlpha AppID from WolframAlpha, please use "full results" api access.
    url: https://products.wolframalpha.com/api
--- a/api/core/tools/provider/builtin/yahoo/tools/analytics.yaml
+++ b/api/core/tools/provider/builtin/yahoo/tools/analytics.yaml
@@ -4,11 +4,13 @@ identity:
  label:
    en_US: Analytics
    zh_Hans: 分析
+    pt_BR: Análises
  icon: icon.svg
 description:
  human:
    en_US: A tool for get analytics about a ticker from Yahoo Finance.
    zh_Hans: 一个用于从雅虎财经获取分析数据的工具。
+    pt_BR: Uma ferramenta para obter análises sobre um ticker do Yahoo Finance.
  llm: A tool for get analytics from Yahoo Finance. Input should be the ticker symbol like AAPL.
 parameters:
  - name: symbol
@@ -17,9 +19,11 @@ parameters:
    label:
      en_US: Ticker symbol
      zh_Hans: 股票代码
+      pt_BR: Símbolo do ticker
    human_description:
      en_US: The ticker symbol of the company you want to analyze.
      zh_Hans: 你想要搜索的公司的股票代码。
+      pt_BR: O símbolo do ticker da empresa que você deseja analisar.
    llm_description: The ticker symbol of the company you want to analyze.
    form: llm
  - name: start_date
@@ -28,9 +32,11 @@ parameters:
    label:
      en_US: Start date
      zh_Hans: 开始日期
+      pt_BR: Data de início
    human_description:
      en_US: The start date of the analytics.
      zh_Hans: 分析的开始日期。
+      pt_BR: A data de início das análises.
    llm_description: The start date of the analytics, the format of the date must be YYYY-MM-DD like 2020-01-01.
    form: llm
  - name: end_date
@@ -39,8 +45,10 @@ parameters:
    label:
      en_US: End date
      zh_Hans: 结束日期
+      pt_BR: Data de término
    human_description:
      en_US: The end date of the analytics.
      zh_Hans: 分析的结束日期。
+      pt_BR: A data de término das análises.
    llm_description: The end date of the analytics, the format of the date must be YYYY-MM-DD like 2024-01-01.
    form: llm
--- a/api/core/tools/provider/builtin/yahoo/tools/news.yaml
+++ b/api/core/tools/provider/builtin/yahoo/tools/news.yaml
@@ -4,11 +4,13 @@ identity:
  label:
    en_US: News
    zh_Hans: 新闻
+    pt_BR: Notícias
  icon: icon.svg
 description:
  human:
    en_US: A tool for get news about a ticker from Yahoo Finance.
    zh_Hans: 一个用于从雅虎财经获取新闻的工具。
+    pt_BR: Uma ferramenta para obter notícias sobre um ticker da Yahoo Finance.
  llm: A tool for get news from Yahoo Finance. Input should be the ticker symbol like AAPL.
 parameters:
  - name: symbol
@@ -17,8 +19,10 @@ parameters:
    label:
      en_US: Ticker symbol
      zh_Hans: 股票代码
+      pt_BR: Símbolo do ticker
    human_description:
      en_US: The ticker symbol of the company you want to search.
      zh_Hans: 你想要搜索的公司的股票代码。
+      pt_BR: O símbolo do ticker da empresa que você deseja pesquisar.
    llm_description: The ticker symbol of the company you want to search.
    form: llm
--- a/api/core/tools/provider/builtin/yahoo/tools/ticker.yaml
+++ b/api/core/tools/provider/builtin/yahoo/tools/ticker.yaml
@@ -4,11 +4,13 @@ identity:
  label:
    en_US: Ticker
    zh_Hans: 股票信息
+    pt_BR: Ticker
  icon: icon.svg
 description:
  human:
    en_US: A tool for search ticker information from Yahoo Finance.
    zh_Hans: 一个用于从雅虎财经搜索股票信息的工具。
+    pt_BR: Uma ferramenta para buscar informações de ticker do Yahoo Finance.
  llm: A tool for search ticker information from Yahoo Finance. Input should be the ticker symbol like AAPL.
 parameters:
  - name: symbol
@@ -17,8 +19,10 @@ parameters:
    label:
      en_US: Ticker symbol
      zh_Hans: 股票代码
+      pt_BR: Símbolo do ticker
    human_description:
      en_US: The ticker symbol of the company you want to search.
      zh_Hans: 你想要搜索的公司的股票代码。
+      pt_BR: O símbolo do ticker da empresa que você deseja pesquisar.
    llm_description: The ticker symbol of the company you want to search.
    form: llm
--- a/api/core/tools/provider/builtin/yahoo/yahoo.yaml
+++ b/api/core/tools/provider/builtin/yahoo/yahoo.yaml
@@ -4,8 +4,10 @@ identity:
  label:
    en_US: YahooFinance
    zh_Hans: 雅虎财经
+    pt_BR: YahooFinance
  description:
    en_US: Finance, and Yahoo! get the latest news, stock quotes, and interactive chart with Yahoo!
    zh_Hans: 雅虎财经，获取并整理出最新的新闻、股票报价等一切你想要的财经信息。
+    pt_BR: Finance, and Yahoo! get the latest news, stock quotes, and interactive chart with Yahoo!
  icon: icon.png
 credentails_for_provider:
--- a/api/core/tools/provider/builtin/youtube/tools/videos.yaml
+++ b/api/core/tools/provider/builtin/youtube/tools/videos.yaml
@@ -4,11 +4,13 @@ identity:
  label:
    en_US: Video statistics
    zh_Hans: 视频统计
+    pt_BR: Estatísticas de vídeo
  icon: icon.svg
 description:
  human:
    en_US: A tool for get statistics about a channel's videos.
    zh_Hans: 一个用于获取油管频道视频统计数据的工具。
+    pt_BR: Uma ferramenta para obter estatísticas sobre os vídeos de um canal.
  llm: A tool for get statistics about a channel's videos. Input should be the name of the channel like PewDiePie.
 parameters:
  - name: channel
@@ -17,9 +19,11 @@ parameters:
    label:
      en_US: Channel name
      zh_Hans: 频道名
+      pt_BR: Nome do canal
    human_description:
      en_US: The name of the channel you want to search.
      zh_Hans: 你想要搜索的油管频道名。
+      pt_BR: O nome do canal que você deseja pesquisar.
    llm_description: The name of the channel you want to search.
    form: llm
  - name: start_date
@@ -28,9 +32,11 @@ parameters:
    label:
      en_US: Start date
      zh_Hans: 开始日期
+      pt_BR: Data de início
    human_description:
      en_US: The start date of the analytics.
      zh_Hans: 分析的开始日期。
+      pt_BR: A data de início da análise.
    llm_description: The start date of the analytics, the format of the date must be YYYY-MM-DD like 2020-01-01.
    form: llm
  - name: end_date
@@ -39,8 +45,10 @@ parameters:
    label:
      en_US: End date
      zh_Hans: 结束日期
+      pt_BR: Data de término
    human_description:
      en_US: The end date of the analytics.
      zh_Hans: 分析的结束日期。
+      pt_BR: A data de término da análise.
    llm_description: The end date of the analytics, the format of the date must be YYYY-MM-DD like 2024-01-01.
    form: llm
--- a/api/core/tools/provider/builtin/youtube/youtube.yaml
+++ b/api/core/tools/provider/builtin/youtube/youtube.yaml
@@ -4,9 +4,11 @@ identity:
  label:
    en_US: Youtube
    zh_Hans: Youtube
+    pt_BR: Youtube
  description:
    en_US: Youtube
    zh_Hans: Youtube（油管）是全球最大的视频分享网站，用户可以在上面上传、观看和分享视频。
+    pt_BR: Youtube é o maior site de compartilhamento de vídeos do mundo, onde os usuários podem fazer upload, assistir e compartilhar vídeos.
  icon: icon.png
 credentails_for_provider:
  google_api_key:
@@ -15,10 +17,13 @@ credentails_for_provider:
    label:
      en_US: Google API key
      zh_Hans: Google API key
+      pt_BR: Chave da API do Google
    placeholder:
      en_US: Please input your Google API key
      zh_Hans: 请输入你的 Google API key
+      pt_BR: Insira sua chave da API do Google
    help:
      en_US: Get your Google API key from Google
      zh_Hans: 从 Google 获取您的 Google API key
+      pt_BR: Obtenha sua chave da API do Google no Google
    url: https://console.developers.google.com/apis/credentials
--- a/api/libs/helper.py
+++ b/api/libs/helper.py
@@ -113,16 +113,6 @@ def _get_float(value):
    except (TypeError, ValueError):
        raise ValueError('{0} is not a valid float'.format(value))

-
-def supported_language(lang):
-    if lang in ['en-US', 'zh-Hans']:
-        return lang
-
-    error = ('{lang} is not a valid language.'
-             .format(lang=lang))
-    raise ValueError(error)
-
-
 def timezone(timezone_string):
    if timezone_string and timezone_string in available_timezones():
        return timezone_string
--- a/api/services/account_service.py
+++ b/api/services/account_service.py
@@ -8,6 +8,7 @@ from datetime import datetime, timedelta
 from hashlib import sha256
 from typing import Any, Dict, Optional

+from constants.languages import languages, language_timezone_mapping
 from events.tenant_event import tenant_was_created
 from extensions.ext_redis import redis_client
 from flask import current_app, session
@@ -138,7 +139,7 @@ class AccountService:

    @staticmethod
    def create_account(email: str, name: str, password: str = None,
-                       interface_language: str = 'en-US', interface_theme: str = 'light',
+                       interface_language: str = languages[0], interface_theme: str = 'light',
                       timezone: str = 'America/New_York', ) -> Account:
        """create account"""
        account = Account()
@@ -159,11 +160,9 @@ class AccountService:

        account.interface_language = interface_language
        account.interface_theme = interface_theme
-
-        if interface_language == 'zh-Hans':
-            account.timezone = 'Asia/Shanghai'
-        else:
-            account.timezone = timezone
+        
+        # Set timezone based on language
+        account.timezone = language_timezone_mapping.get(interface_language, 'UTC') 

        db.session.add(account)
        db.session.commit()
--- a/api/tasks/mail_invite_member_task.py
+++ b/api/tasks/mail_invite_member_task.py
@@ -5,7 +5,7 @@ import click
 from celery import shared_task
 from extensions.ext_mail import mail
 from flask import current_app, render_template
-
+from constants.languages import languages

@shared_task(queue='mail')
 def send_invite_member_mail_task(language: str, to: str, token: str, inviter_name: str, workspace_name: str):
@@ -26,6 +26,7 @@ def send_invite_member_mail_task(language: str, to: str, token: str, inviter_nam
                             fg='green'))
    start_at = time.perf_counter()

+    # TODO send invite member mail using different languages
    try:
        url = f'{current_app.config.get("CONSOLE_WEB_URL")}/activate?token={token}'
        if language == 'zh-Hans':