Update some contant, and gradio version

README.md

@@ -4,9 +4,9 @@ emoji: 🏆
 colorFrom: blue
 colorTo: purple
 sdk: gradio
-sdk_version: 4.15.0
+sdk_version: 5.6.0
 app_file: app.py
-pinned: false
+pinned: true
 license: apache-2.0
 ---
 

app.py

@@ -23,11 +23,11 @@ with gr.Blocks(title=f'{benchname} Leaderboard', head=head_style) as demo:
     gr.Markdown(intro_md)
 
     with gr.Tabs(elem_classes='tab-buttons') as tabs:
-        with gr.TabItem('Main Leaderboard', elem_id='main', id=0):
+        with gr.TabItem('🏅 Main Leaderboard', elem_id='main', id=0):
             table, type_map = build_df()
             headers = [coln for coln in table.columns if not coln.startswith('_')]
             datatypes = [type_map[x] for x in headers]
-            colwidths = [50, 400, 120, 130] + [150 for _ in headers[4:]]
+            colwidths = [80, 400, 120, 130] + [155 for _ in headers[4:]]
 
             with gr.Row():
                 model_name = gr.Textbox(
@@ -84,15 +84,16 @@ with gr.Blocks(title=f'{benchname} Leaderboard', head=head_style) as demo:
             model_size.change(filter_df, [model_name, model_size, model_type], data_component)
             model_type.change(filter_df, [model_name, model_size, model_type], data_component)
 
-        with gr.TabItem('About', elem_id='about', id=1):
+        with gr.TabItem('📝 About', elem_id='about', id=1):
             gr.Markdown(about_md)
 
-        with gr.TabItem('Submit your model', elem_id='submit', id=2):
+        with gr.TabItem('🚀 Submit your model', elem_id='submit', id=2):
             gr.Markdown(submit_md)
 
     # with gr.Row():
     #     with gr.Accordion('Citation', open=False):
     #         gr.Markdown(citation_md)
+    gr.Markdown(Bottom_logo)
 
 
 if __name__=="__main__":

content.py

@@ -1,12 +1,23 @@
+import os
+import base64
+
+current_dir = os.path.dirname(os.path.realpath(__file__))
+
+with open(os.path.join(current_dir, "bottom_logo.png"), "rb") as image_file:
+    bottom_logo = base64.b64encode(image_file.read()).decode("utf-8")
+
 benchname = 'KOFFVQA'
 
+Bottom_logo = f'''<img src="data:image/jpeg;base64,{bottom_logo}" style="width:20%;display:block;margin-left:auto;margin-right:auto">'''
+
 intro_md = f'''
+# KOFFVQA Leaderboard
 
-# {benchname} 리더보드
+The {benchname}🔍 is a Free-Form VQA benchmark dataset designed to evaluate Vision-Language Models (VLMs) in Korean language environments. Unlike traditional multiple-choice or predefined answer formats, KOFFVQA challenges models to generate open-ended, natural-language answers to visually grounded questions. This allows for a more comprehensive assessment of a model's ability to understand and generate nuanced Korean responses.
 
-이 페이지에서는 {benchname} 벤치마크로 측정한 VLM들의 한국어 성능을 보실 수 있습니다.
+The dataset encompasses diverse real-world scenarios, including object attributes, recognition, relationship, etc.
 
-이 페이지는 지속적으로 업데이트할 계획이며, 리더보드에 추가할 모델 요청을 받고 있습니다. 자세한 정보는 "Submit" 탭을 확인해 주세요.
+The page will be continuously updated and will accept requests to add models to the leaderboard. For more details, please refer to the "Submit" tab.
 
 '''.strip()
 
@@ -14,13 +25,15 @@ about_md = f'''
 
 # About
 
-{benchname} 벤치마크는 한국어 사용 환경에서 VLM의 다방면 성능을 측정하고 비교하기 위한 벤치마크입니다.
+The {benchname} benchmark is designed to evaluate and compare the performance of Vision-Language Models (VLMs) in Korean language environments.
+
+This benchmark includes a total of 275 Korean questions across 10 tasks. The questions are open-ended, free-form VQA (Visual Question Answering) with objective answers, allowing responses without strict format constraints.
 
-이 벤치마크는 10개 task에서의 총 275개의 한국어 질문이 있으며, 객관적 정답이 있지만 형식의 제한은 없는 서술형 문항(Free-form VQA)으로 구성되어 있습니다.
+We will add more information about this benchmark soon.
 
 ## News
 
-* **2024-12-06**: 릴리즈
+* **2024-12-06**: Leaderboard Release!
 
 '''.strip()
 
@@ -28,6 +41,6 @@ submit_md = f'''
 
 # Submit (coming soon)
 
-아직은 모델 추가 요청을 받고 있지 않습니다. 요청 시스템이 마련되면 요청을 받기 시작할 예정입니다.
+We are not accepting model addition requests at the moment. Once the request system is established, we will start accepting requests.
 
 '''.strip()