Sync ling-space changes from GitHub commit 9c95fd3

app.py

@@ -203,7 +203,7 @@ if __name__ == "__main__":
             with gr.TabItem(
                 get_text("writer_tab_title", current_lang_state.value)
             ) as writer_tab:
-                writer_components = create_smart_writer_tab(current_lang_state.value)
+                writer_components = create_smart_writer_tab(current_lang_state)
 
             writer_outputs = [
                 writer_tab,

tab_smart_writer.py

@@ -47,45 +47,46 @@ def get_stats(text, lang):
 
 # --- UI Construction ---
 
-def create_smart_writer_tab(initial_lang: str):
-    debounce_manager = DebounceManager(debounce_time=2.0, tick_time=0.3, loading_text=get_text("writer_debounce_loading_text", initial_lang))
+def create_smart_writer_tab(lang_state: gr.State):
+    lang = lang_state.value
+    debounce_manager = DebounceManager(debounce_time=2.0, tick_time=0.3, loading_text=get_text("writer_debounce_loading_text", lang))
 
     with gr.Row(equal_height=False, elem_id="indicator-writing-tab"):
         # --- Left Column: Entity Console ---
         with gr.Column(scale=1) as left_panel:
             
             style_input = gr.Textbox(
-                label=get_text("writer_style_input_label", initial_lang),
+                label=get_text("writer_style_input_label", lang),
                 lines=8, 
                 value=MOCK_STYLE,
                 interactive=True
             )
             
             with gr.Accordion(
-                get_text("writer_kb_accordion_label", initial_lang), open=True
+                get_text("writer_kb_accordion_label", lang), open=True
             ) as kb_accordion:
                 kb_input = gr.Dataframe(
-                    headers=[get_text("writer_kb_dataframe_headers", initial_lang), '?'],
+                    headers=[get_text("writer_kb_dataframe_headers", lang), '?'],
                     datatype=["str", "str"],
                     value=MOCK_KNOWLEDGE_BASE,
                     interactive=True,
                     wrap=True
                 )
                 with gr.Row():
-                    btn_suggest_kb = gr.Button(get_text("writer_suggest_kb_button", initial_lang), size="sm")
+                    btn_suggest_kb = gr.Button(get_text("writer_suggest_kb_button", lang), size="sm")
                 
                 suggested_kb_dataframe = gr.Dataframe(
                     headers=["Term", "Description"],
                     datatype=["str", "str"],
                     visible=False, 
                     interactive=False,
-                    label=get_text("writer_suggested_kb_label", initial_lang),
+                    label=get_text("writer_suggested_kb_label", lang),
                 )
 
-            with gr.Accordion(get_text("writer_short_outline_accordion_label", initial_lang), open=True) as short_outline_accordion:
+            with gr.Accordion(get_text("writer_short_outline_accordion_label", lang), open=True) as short_outline_accordion:
                 
                 short_outline_input = gr.Dataframe(
-                    headers=[get_text("writer_short_outline_dataframe_headers", initial_lang), '?'],
+                    headers=[get_text("writer_short_outline_dataframe_headers", lang), '?'],
                     datatype=["bool", "str"],
                     value=MOCK_SHORT_TERM_OUTLINE,
                     interactive=True,
@@ -93,11 +94,11 @@ def create_smart_writer_tab(initial_lang: str):
                     col_count=(2, "fixed"),
                 )
                 with gr.Row():
-                    btn_sync_outline = gr.Button(get_text("writer_sync_outline_button", initial_lang), size="sm")
+                    btn_sync_outline = gr.Button(get_text("writer_sync_outline_button", lang), size="sm")
 
-            with gr.Accordion(get_text("writer_long_outline_accordion_label", initial_lang), open=False) as long_outline_accordion:
+            with gr.Accordion(get_text("writer_long_outline_accordion_label", lang), open=False) as long_outline_accordion:
                 long_outline_input = gr.Dataframe(
-                    headers=[get_text("writer_short_outline_dataframe_headers", initial_lang), '?'],
+                    headers=[get_text("writer_short_outline_dataframe_headers", lang), '?'],
                     datatype=["bool", "str"],
                     value=MOCK_LONG_TERM_OUTLINE,
                     interactive=True,
@@ -116,15 +117,15 @@ def create_smart_writer_tab(initial_lang: str):
 
                     flow_suggestion_display = gr.Textbox(
                         show_label=True,
-                        label=get_text("writer_flow_suggestion_label", initial_lang),
-                        placeholder=get_text("writer_flow_suggestion_placeholder", initial_lang),
+                        label=get_text("writer_flow_suggestion_label", lang),
+                        placeholder=get_text("writer_flow_suggestion_placeholder", lang),
                         lines=3,
                         interactive=False,
                         elem_classes=["flow-suggestion-box"],
                     )
 
-                    btn_accept_flow = gr.Button(get_text("writer_accept_flow_button", initial_lang),size="sm",variant="primary",elem_id="btn-action-accept-flow")
-                    btn_change_flow = gr.Button(get_text("writer_change_flow_button", initial_lang),size="sm",elem_id="btn-action-change-flow")
+                    btn_accept_flow = gr.Button(get_text("writer_accept_flow_button", lang),size="sm",variant="primary",elem_id="btn-action-accept-flow")
+                    btn_change_flow = gr.Button(get_text("writer_change_flow_button", lang),size="sm",elem_id="btn-action-change-flow")
 
                     # Debounce Progress Indicator (Using Manager)
                     debounce_state, debounce_timer, debounce_progress = debounce_manager.create_ui()
@@ -133,46 +134,46 @@ def create_smart_writer_tab(initial_lang: str):
                 # Area 2: Paragraph Continuation (Inspiration)
                 with gr.Column(scale=1, min_width=200):
                     inspiration_prompt_input = gr.Textbox(
-                        label=get_text("writer_inspiration_prompt_label", initial_lang),
-                        placeholder=get_text("writer_inspiration_prompt_placeholder", initial_lang),
+                        label=get_text("writer_inspiration_prompt_label", lang),
+                        placeholder=get_text("writer_inspiration_prompt_placeholder", lang),
                         lines=2
                     )
                     prompt_suggestions_dataset = gr.Dataset(
-                        label=get_text("writer_prompt_suggestions_label", initial_lang),
+                        label=get_text("writer_prompt_suggestions_label", lang),
                         components=[gr.Textbox(visible=False)],
                         samples=[["生成建议..."], ["生成建议..."], ["生成建议..."]],
                         type="values"
                     )
                     refresh_suggestions_btn = gr.Button(
-                        get_text("writer_refresh_suggestions_button", initial_lang),
+                        get_text("writer_refresh_suggestions_button", lang),
                         size="sm",
                         variant="secondary",
                     )
                     with gr.Row():
-                        btn_generate_para = gr.Button(get_text("writer_generate_para_button", initial_lang),size="sm",variant="primary",elem_id="btn-action-create-paragraph")
-                        btn_change_para = gr.Button(get_text("writer_change_para_button", initial_lang),size="sm")
-                        btn_accept_para = gr.Button(get_text("writer_accept_para_button", initial_lang),size="sm")
+                        btn_generate_para = gr.Button(get_text("writer_generate_para_button", lang),size="sm",variant="primary",elem_id="btn-action-create-paragraph")
+                        btn_change_para = gr.Button(get_text("writer_change_para_button", lang),size="sm")
+                        btn_accept_para = gr.Button(get_text("writer_accept_para_button", lang),size="sm")
 
                     para_suggestion_display = gr.Textbox(
                         show_label=False,
-                        placeholder=get_text("writer_para_suggestion_placeholder", initial_lang),
+                        placeholder=get_text("writer_para_suggestion_placeholder", lang),
                         lines=3,
                         interactive=False
                     )
                 
                 # Area 3: Adjust/Polish (Placeholder)
                 with gr.Column(scale=1, min_width=200):
-                    polish_title = gr.Markdown(get_text("writer_polish_title", initial_lang))
-                    polish_soon = gr.Markdown(get_text("writer_coming_soon", initial_lang))
+                    polish_title = gr.Markdown(get_text("writer_polish_title", lang))
+                    polish_soon = gr.Markdown(get_text("writer_coming_soon", lang))
 
             # --- TOOLBAR ---
             with gr.Row(elem_classes=["toolbar"]):
                 # --- EDITOR ---
-                stats_display = gr.Markdown(get_text("writer_stats_default", initial_lang))
+                stats_display = gr.Markdown(get_text("writer_stats_default", lang))
 
             editor = gr.Textbox(
-                label=get_text("writer_editor_label", initial_lang),
-                placeholder=get_text("writer_editor_placeholder", initial_lang),
+                label=get_text("writer_editor_label", lang),
+                placeholder=get_text("writer_editor_placeholder", lang),
                 lines=25, # Reduced lines slightly to accommodate ribbon
                 elem_classes=["writing-editor"],
                 elem_id="writing-editor",
@@ -183,7 +184,7 @@ def create_smart_writer_tab(initial_lang: str):
     # --- Interactions ---
 
     # 1. Stats
-    editor.change(fn=get_stats, inputs=editor, outputs=stats_display)
+    editor.change(fn=get_stats, inputs=[editor, lang_state], outputs=stats_display)
 
     # 2. Flow Suggestion Logic (Using DebounceManager)