Update the About tab to show Japanese translation

app.py

@@ -14,6 +14,7 @@ from src.about import (
     INTRODUCTION_TEXT,
     INTRODUCTION_TEXT_JP,
     LLM_BENCHMARKS_TEXT,
+    LLM_BENCHMARKS_TEXT_JP,
     TITLE,
     TaskType,
 )
@@ -521,11 +522,19 @@ def set_default_language(request: gr.Request) -> gr.Dropdown:
         return gr.Dropdown(value="🇺🇸 EN")
 
 
-def update_language(language: str) -> tuple[gr.Markdown, gr.Markdown]:
+def update_language(language: str) -> tuple[gr.Markdown, gr.Markdown, gr.Markdown]:
     if language == "🇯🇵 JP":
-        return gr.Markdown(value=INTRODUCTION_TEXT_JP), gr.Markdown(value=EVALUATION_QUEUE_TEXT_JP)
+        return (
+            gr.Markdown(value=INTRODUCTION_TEXT_JP),
+            gr.Markdown(value=LLM_BENCHMARKS_TEXT_JP),
+            gr.Markdown(value=EVALUATION_QUEUE_TEXT_JP),
+        )
     else:
-        return gr.Markdown(value=INTRODUCTION_TEXT), gr.Markdown(value=EVALUATION_QUEUE_TEXT)
+        return (
+            gr.Markdown(value=INTRODUCTION_TEXT),
+            gr.Markdown(value=LLM_BENCHMARKS_TEXT),
+            gr.Markdown(value=EVALUATION_QUEUE_TEXT),
+        )
 
 
 with gr.Blocks(css=custom_css, css_paths="style.css", theme=gr.themes.Glass()) as demo:
@@ -537,7 +546,7 @@ with gr.Blocks(css=custom_css, css_paths="style.css", theme=gr.themes.Glass()) a
             demo_leaderboard.render()
 
         with gr.TabItem("📝 About", elem_id="llm-benchmark-tab-table", id=2):
-            gr.Markdown(LLM_BENCHMARKS_TEXT, elem_classes="markdown-text")
+            llm_benchmarks_text = gr.Markdown(LLM_BENCHMARKS_TEXT_JP, elem_classes="markdown-text")
 
         with gr.TabItem("🚀 Submit here! ", elem_id="llm-benchmark-tab-table", id=3):
             demo_submission.render()
@@ -565,7 +574,7 @@ with gr.Blocks(css=custom_css, css_paths="style.css", theme=gr.themes.Glass()) a
     language.change(
         fn=update_language,
         inputs=language,
-        outputs=[introduction_text, evaluation_queue_text],
+        outputs=[introduction_text, llm_benchmarks_text, evaluation_queue_text],
         api_name=False,
     )