update

app.py

@@ -49,8 +49,31 @@ with block:
             refresh_button.click(fn=refresh_data, outputs=data_component)
 
         # # Table 2
-        # with gr.TabItem("📝 About", elem_id="qa-tab-table2", id=2):
-        #     gr.Markdown(LEADERBORAD_INFO, elem_classes="markdown-text")
+        with gr.TabItem("📊 EvalCrafter LeaderBoard (Best-of-K-Sampling with VideoScore)", elem_id="qa-tab-table2", id=2):
+            with gr.Row():
+                with gr.Accordion("Citation", open=False):
+                    citation_button = gr.Textbox(
+                        value=CITATION_BUTTON_TEXT,
+                        label=CITATION_BUTTON_LABEL,
+                        elem_id="citation-button",
+                        lines=20,
+                    )
+            gr.Markdown(
+                TABLE_INTRODUCTION
+            )
+            data_component=gr.components.Dataframe(
+                value=get_df_t2(), 
+                headers=COLUMN_NAMES_T2,
+                type="pandas", 
+                datatype=DATA_TITILE_TYPE_T2,
+                interactive=False,
+                visible=True,
+                elem_classes="table-class" 
+                )
+            
+            refresh_button = gr.Button("Refresh")
+            refresh_button.click(fn=refresh_data_t2, outputs=data_component)
+        
         
 
 block.launch(share=True)

utils.py

@@ -8,24 +8,6 @@ from huggingface_hub import Repository
 
 HF_TOKEN = os.environ.get("HUGGINGFACE_TOKEN")
 
-MODEL_INFO = [
-    "Model",
-    "Avg",
-    "Visual Quality",
-    "Temporal Consistency",
-    "Dynamic Degree",
-    "Text-to-Video Alignment",
-    "Factual Consistency"
-    ]
-
-DATA_TITILE_TYPE = ['markdown', 'number', 'number', 'number', 'number', 'number',]
-
-SUBMISSION_NAME = "VideoScore-Leaderboard"
-SUBMISSION_URL = os.path.join("https://huggingface.co/datasets/hexuan21/", SUBMISSION_NAME)
-CSV_DIR = "./VideoScore-Leaderboard/leaderboard_res.csv"
-
-COLUMN_NAMES = MODEL_INFO
-
 LEADERBORAD_INTRODUCTION = """# VideoScore Leaderboard
 
     🏆 Welcome to the **VideoScore Leaderboard**! <br>
@@ -49,11 +31,78 @@ LEADERBORAD_INTRODUCTION = """# VideoScore Leaderboard
     <a href='https://hits.seeyoufarm.com'><img src='https://hits.seeyoufarm.com/api/count/incr/badge.svg?url=https%3A%2F%2Fhuggingface.co%2Fspaces%2FTIGER-Lab%2FVideoScore-Leaderboard&count_bg=%23C7C83D&title_bg=%23555555&icon=&icon_color=%23E7E7E7&title=hits&edge_flat=false'></a>
     """
 
-TABLE_INTRODUCTION = """
-    """
+SUBMISSION_NAME = "VideoScore-Leaderboard"
+SUBMISSION_URL = os.path.join("https://huggingface.co/datasets/hexuan21/", SUBMISSION_NAME)
+    
+    
+
+CSV_DIR = "./VideoScore-Leaderboard/leaderboard_res.csv"
+COLUMN_NAMES = [
+    "Model",
+    "Avg",
+    "Visual Quality",
+    "Temporal Consistency",
+    "Dynamic Degree",
+    "Text-to-Video Alignment",
+    "Factual Consistency"
+    ]
+DATA_TITILE_TYPE = ['markdown', 'number', 'number', 'number', 'number', 'number',]
+
+
+CSV_DIR_T2="./VideoScore-Leaderboard/ec_res.csv"
+COLUMN_NAMES_T2 = [
+    "Model",
+    "Avg",
+    "Visual Quality",
+    "Temporal Consistency",
+    "Motion Quality",
+    "Text-to-Video Alignment",
+    ]
+DATA_TITILE_TYPE_T2 = ['markdown', 'number', 'number', 'number', 'number',]
+
+
+TABLE_INTRODUCTION = """"""
+LEADERBORAD_INFO = """"""
+
+
+def get_df():
+    repo = Repository(local_dir=SUBMISSION_NAME, clone_from=SUBMISSION_URL, use_auth_token=HF_TOKEN)
+    repo.git_pull()
+    df = pd.read_csv(CSV_DIR)
+    df['Model'] = df['Model'].apply(lambda x: f"[{x.split(']')[0][1:]}]({x.split('(')[1][:-1]})")
+    df['Avg'] = df[["Visual Quality",
+    "Temporal Consistency",
+    "Dynamic Degree",
+    "Text-to-Video Alignment",
+    "Factual Consistency"]].mean(axis=1).round(2)
+    df = df.sort_values(by=['Avg'], ascending=False)
+    return df[COLUMN_NAMES]
+
+
+def refresh_data():
+    return get_df()
+  
+
+def get_df_t2():
+    repo = Repository(local_dir=SUBMISSION_NAME, clone_from=SUBMISSION_URL, use_auth_token=HF_TOKEN)
+    repo.git_pull()
+    df = pd.read_csv(CSV_DIR_T2)
+    df['Model'] = df['Model'].apply(lambda x: f"[{x.split(']')[0][1:]}]({x.split('(')[1][:-1]})")
+    df['Avg'] = df[["Visual Quality",
+    "Temporal Consistency",
+    "Motion Quality",
+    "Text-to-Video Alignment",
+    ]].mean(axis=1).round(2)
+    df = df.sort_values(by=['Avg'], ascending=False)
+    return df[COLUMN_NAMES]
+  
+  
+def refresh_data_t2():
+    return get_df_t2()
+  
+  
+
 
-LEADERBORAD_INFO = """
-"""
 
 CITATION_BUTTON_LABEL = "Copy the following snippet to cite the t2v models and related papers"
 CITATION_BUTTON_TEXT = r"""
@@ -234,20 +283,3 @@ CITATION_BUTTON_TEXT = r"""
 }
 
 """
-
-def get_df():
-    repo = Repository(local_dir=SUBMISSION_NAME, clone_from=SUBMISSION_URL, use_auth_token=HF_TOKEN)
-    repo.git_pull()
-    df = pd.read_csv(CSV_DIR)
-    df['Model'] = df['Model'].apply(lambda x: f"[{x.split(']')[0][1:]}]({x.split('(')[1][:-1]})")
-    df['Avg'] = df[["Visual Quality",
-    "Temporal Consistency",
-    "Dynamic Degree",
-    "Text-to-Video Alignment",
-    "Factual Consistency"]].mean(axis=1).round(2)
-    df = df.sort_values(by=['Avg'], ascending=False)
-    return df[COLUMN_NAMES]
-
-
-def refresh_data():
-    return get_df()