Sync ling-space changes from GitHub commit 08fb219

i18n/core.py

@@ -1,8 +1,8 @@
 # ling-space/i18n/core.py
 from typing import Dict
-from . import common, tab_chat, tab_code, tab_smart_writer, tab_welcome
+from . import common, tab_chat, tab_code, tab_smart_writer, tab_welcome, recommended_inputs
 
-MODULES = [common, tab_chat, tab_code, tab_smart_writer, tab_welcome]
+MODULES = [common, tab_chat, tab_code, tab_smart_writer, tab_welcome, recommended_inputs]
 
 class I18nManager:
     def __init__(self):

i18n/recommended_inputs.py

@@ -0,0 +1,87 @@
+# ling-space/i18n/recommended_inputs.py
+
+ui_translations = {
+    # Creative Writing
+    "rec_creative_writing_task": {
+        "en": "Creative Writing",
+        "zh": "创意写作"
+    },
+    "rec_creative_writing_system_prompt": {
+        "en": "You are a talented writer, skilled in crafting imaginative stories.",
+        "zh": "你是一位才华横溢的作家，擅长创作富有想象力的故事。"
+    },
+    "rec_creative_writing_user_message": {
+        "en": "Write a short story about a talking cat and its robot friend.",
+        "zh": "写一个关于一只会说话的猫和它的机器人朋友的短篇故事。"
+    },
+
+    # Code Generation
+    "rec_code_generation_task": {
+        "en": "Code Generation",
+        "zh": "代码生成"
+    },
+    "rec_code_generation_system_prompt": {
+        "en": "You are an AI programming assistant proficient in multiple programming languages.",
+        "zh": "你是一个精通多种编程语言的 AI 编程助手。"
+    },
+    "rec_code_generation_user_message": {
+        "en": "Write a Python function to calculate the Fibonacci sequence in a list.",
+        "zh": "用 Python 写一个函数，计算一个列表中的斐波那契数列。"
+    },
+
+    # Email Drafting
+    "rec_email_drafting_task": {
+        "en": "Email Drafting",
+        "zh": "邮件撰写"
+    },
+    "rec_email_drafting_system_prompt": {
+        "en": "You are a professional business assistant, skilled in drafting clear, concise business emails.",
+        "zh": "你是一位专业的商务助理，擅长撰写清晰、简洁的商务邮件。"
+    },
+    "rec_email_drafting_user_message": {
+        "en": "Help me write an email to my team members announcing a project kick-off meeting next Friday afternoon.",
+        "zh": "帮我写一封邮件，向我的团队成员宣布我们下周五下午将举行一个项目启动会议。"
+    },
+
+    # Study Plan
+    "rec_study_plan_task": {
+        "en": "Study Plan",
+        "zh": "学习计划"
+    },
+    "rec_study_plan_system_prompt": {
+        "en": "You are an experienced learning mentor who can tailor study plans for users.",
+        "zh": "你是一位经验丰富的学习导师，能够为用户量身定制学习计划。"
+    },
+    "rec_study_plan_user_message": {
+        "en": "I want to learn to play the guitar. Please create a one-month beginner's introductory plan for me.",
+        "zh": "我想学习弹吉他，请为我制定一个为期一个月的初学者入门计划。"
+    },
+
+    # Role Play
+    "rec_role_play_task": {
+        "en": "Role Play",
+        "zh": "角色扮演"
+    },
+    "rec_role_play_system_prompt": {
+        "en": "You are Shakespeare. Please answer questions in his style and language.",
+        "zh": "你现在是莎士比亚，请用他的风格和语言来回答问题。"
+    },
+    "rec_role_play_user_message": {
+        "en": "To be or not to be, that is the question.",
+        "zh": "生存还是毁灭，这是一个值得考虑的问题。"
+    },
+
+    # Tech Q&A
+    "rec_tech_qa_task": {
+        "en": "Tech Q&A",
+        "zh": "技术问答"
+    },
+    "rec_tech_qa_system_prompt": {
+        "en": "You are a senior software engineer, proficient in various tech stacks.",
+        "zh": "你是一位资深的软件工程师，精通各种技术栈。"
+    },
+    "rec_tech_qa_user_message": {
+        "en": "Please explain 'containerization' and how it differs from 'virtualization'?",
+        "zh": "请解释一下什么是“容器化”，以及它与“虚拟化”有什么区别？"
+    }
+}

recommand_config.py

@@ -1,53 +1,53 @@
-# -*- coding: utf-8 -*-
-
 from config import LING_1T, LING_FLASH_2_0, RING_1T, RING_FLASH_2_0, LING_MINI_2_0, RING_MINI_2_0, get_model_display_name
+from i18n import get_text
 
-"""
-This file contains the recommended initial inputs for the chat tab.
-Each item in the `RECOMMENDED_INPUTS` list is a dictionary that represents a preset scenario.
-"""
+def get_recommended_inputs(lang: str):
+    """
+    Generates the list of recommended inputs based on the selected language.
+    """
 
-RECOMMENDED_INPUTS = [
-    {
-        "task": "创意写作",
-        "model": get_model_display_name(LING_1T),
-        "system_prompt": "你是一位才华横溢的作家，擅长创作富有想象力的故事。",
-        "user_message": "写一个关于一只会说话的猫和它的机器人朋友的短篇故事。",
-        "temperature": 0.8,
-    },
-    {
-        "task": "代码生成",
-        "model": get_model_display_name(RING_1T),
-        "system_prompt": "你是一个精通多种编程语言的 AI 编程助手。",
-        "user_message": "用 Python 写一个函数，计算一个列表中的斐波那契数列。",
-        "temperature": 0.2,
-    },
-    {
-        "task": "邮件撰写",
-        "model": get_model_display_name(LING_FLASH_2_0),
-        "system_prompt": "你是一位专业的商务助理，擅长撰写清晰、简洁的商务邮件。",
-        "user_message": "帮我写一封邮件，向我的团队成员宣布我们下周五下午将举行一个项目启动会议。",
-        "temperature": 0.7,
-    },
-    {
-        "task": "学习计划",
-        "model": get_model_display_name(LING_MINI_2_0),
-        "system_prompt": "你是一位经验丰富的学习导师，能够为用户量身定制学习计划。",
-        "user_message": "我想学习弹吉他，请为我制定一个为期一个月的初学者入门计划。",
-        "temperature": 0.6,
-    },
-    {
-        "task": "角色扮演",
-        "model": get_model_display_name(RING_FLASH_2_0),
-        "system_prompt": "你现在是莎士比亚，请用他的风格和语言来回答问题。",
-        "user_message": "生存还是毁灭，这是一个值得考虑的问题。",
-        "temperature": 0.9,
-    },
-    {
-        "task": "技术问答",
-        "model": get_model_display_name(RING_MINI_2_0),
-        "system_prompt": "你是一位资深的软件工程师，精通各种技术栈。",
-        "user_message": "请解释一下什么是“容器化”，以及它与“虚拟化”有什么区别？",
-        "temperature": 0.4,
-    }
-]
+    result = [
+        {
+            "task": get_text("rec_creative_writing_task", lang),
+            "model": get_model_display_name(LING_1T),
+            "system_prompt": get_text("rec_creative_writing_system_prompt", lang),
+            "user_message": get_text("rec_creative_writing_user_message", lang),
+            "temperature": 0.8,
+        },
+        {
+            "task": get_text("rec_code_generation_task", lang),
+            "model": get_model_display_name(RING_1T),
+            "system_prompt": get_text("rec_code_generation_system_prompt", lang),
+            "user_message": get_text("rec_code_generation_user_message", lang),
+            "temperature": 0.2,
+        },
+        {
+            "task": get_text("rec_email_drafting_task", lang),
+            "model": get_model_display_name(LING_FLASH_2_0),
+            "system_prompt": get_text("rec_email_drafting_system_prompt", lang),
+            "user_message": get_text("rec_email_drafting_user_message", lang),
+            "temperature": 0.7,
+        },
+        {
+            "task": get_text("rec_study_plan_task", lang),
+            "model": get_model_display_name(LING_MINI_2_0),
+            "system_prompt": get_text("rec_study_plan_system_prompt", lang),
+            "user_message": get_text("rec_study_plan_user_message", lang),
+            "temperature": 0.6,
+        },
+        {
+            "task": get_text("rec_role_play_task", lang),
+            "model": get_model_display_name(RING_FLASH_2_0),
+            "system_prompt": get_text("rec_role_play_system_prompt", lang),
+            "user_message": get_text("rec_role_play_user_message", lang),
+            "temperature": 0.9,
+        },
+        {
+            "task": get_text("rec_tech_qa_task", lang),
+            "model": get_model_display_name(RING_MINI_2_0),
+            "system_prompt": get_text("rec_tech_qa_system_prompt", lang),
+            "user_message": get_text("rec_tech_qa_user_message", lang),
+            "temperature": 0.4,
+        }
+    ]
+    return result;

tab_chat.py

@@ -1,3 +1,4 @@
+from mimetypes import init
 import gradio as gr
 import uuid
 from datetime import datetime
@@ -5,7 +6,7 @@ import pandas as pd
 import re
 from model_handler import ModelHandler
 from config import CHAT_MODEL_SPECS, LING_1T
-from recommand_config import RECOMMENDED_INPUTS
+from recommand_config import get_recommended_inputs
 from ui_components.model_selector import create_model_selector
 from i18n import get_text
 
@@ -200,7 +201,7 @@ def create_chat_tab(initial_lang: str, current_lang_state: gr.State):
             recommended_title = gr.Markdown(get_text('chat_recommended_dialogues_title', initial_lang))
             recommended_dataset = gr.Dataset(
                 components=[gr.Textbox(visible=False)],
-                samples=[[item["task"]] for item in RECOMMENDED_INPUTS],
+                samples=[[item["task"]] for item in get_recommended_inputs(initial_lang)],
                 label=get_text('chat_recommended_dataset_label', initial_lang),
                 headers=[get_text('chat_recommended_dataset_header', initial_lang)],
             )
@@ -219,8 +220,9 @@ def create_chat_tab(initial_lang: str, current_lang_state: gr.State):
         # --- Event Handlers --- #
         def on_select_recommendation(evt: gr.SelectData, history, current_conv_id, lang):
             selected_task = evt.value[0]
-            item = next((i for i in RECOMMENDED_INPUTS if i["task"] == selected_task), None)
-            if not item: return gr.update(), gr.update(), gr.update(), gr.update(), gr.update(), gr.update(), gr.update(), gr.update()
+            item = next((i for i in get_recommended_inputs(lang) if i["task"] == selected_task), None)
+            if not item:
+                return gr.update(), gr.update(), gr.update(), gr.update(), gr.update(), gr.update(), gr.update(), gr.update()
 
             new_id, new_history, new_messages, history_df_update = handle_new_chat(history, current_conv_id, lang)
 
@@ -322,7 +324,11 @@ def update_language(lang: str, components: dict):
         components["textbox"]: gr.update(placeholder=get_text('chat_textbox_placeholder', lang)),
         components["submit_btn"]: gr.update(value=get_text('chat_submit_button', lang)),
         components["recommended_title"]: gr.update(value=get_text('chat_recommended_dialogues_title', lang)),
-        components["recommended_dataset"]: gr.update(label=get_text('chat_recommended_dataset_label', lang), headers=[get_text('chat_recommended_dataset_header', lang)]),
+        components["recommended_dataset"]: gr.update(
+            samples=[[item["task"]] for item in get_recommended_inputs(lang)],
+            label=get_text('chat_recommended_dataset_label', lang),
+            headers=[get_text('chat_recommended_dataset_header', lang)],
+        ),
         components["system_prompt_textbox"]: gr.update(label=get_text('chat_system_prompt_label', lang), placeholder=get_text('chat_system_prompt_placeholder', lang)),
         components["temperature_slider"]: gr.update(label=get_text('chat_temperature_slider_label', lang)),
     }