Update app.py

app.py

@@ -25,119 +25,48 @@ dff3_2 = pd.read_csv(file_path3_2)
 dff3_3 = pd.read_csv(file_path3_3)
 
 
-# 返回处理后的 DataFrame
-def show_leaderboard1_1():
-    return dff1_1
+# 定义一个函数，根据用户选择的表格返回相应的表格
+def display_table(table_choice):
+    if table_choice == "Image Generation Test Ranking":
+        return dff1_1
+    elif table_choice == "Image Revision Test Ranking":
+        return dff1_2
+    elif table_choice == "Safety and Responsibility Ranking":
+        return dff1_3
+    elif table_choice == "Rankings of Image Generation Task by Dimensio-Alignment with Instruction":
+        return dff2_1
+    elif table_choice == "Rankings of Image Generation Task by Dimension-Image Integrity":
+        return dff2_2
+    elif table_choice == "Rankings of Image Generation Task by Dimension-Image Aesthetics":
+        return dff2_3
+    elif table_choice == "Rankings of Image Revision Task by Dimension-Alignment with Reference":
+        return dff3_1
+    elif table_choice == "Rankings of Image Revision Task by Dimension-Image Integrity":
+        return dff3_2
+    elif table_choice == "Rankings of Image Revision Task by Dimension-Image Aesthetics":
+        return dff3_3
 
-def show_leaderboard1_2():
-    return dff1_2
-
-def show_leaderboard1_3():
-    return dff1_3
-
-def show_leaderboard2_1():
-    return dff2_1
-
-def show_leaderboard2_2():
-    return dff2_2
-
-def show_leaderboard2_3():
-    return dff2_3
-
-def show_leaderboard3_1():
-    return dff3_1
-
-def show_leaderboard3_2():
-    return dff3_2
-
-def show_leaderboard3_3():
-    return dff3_3
-
-
-
-# Gradio 界面
 with gr.Blocks() as demo:
     gr.Markdown(
         """
-        # Evaluation of 图像生成能力综合排名 of Artificial Intelligence Models / 人工智能模型图像生成能力综合评测
+        # Evaluation of Image Generation Capabilities of Artificial Intelligence Models / 人工智能模型图像生成能力综合评测
         by Zhenhui (Jack) Jiang<sup>1</sup>, Zhengyu Wu<sup>1</sup>, Jiaxin Li<sup>1</sup>, Haozhe Xu<sup>2</sup>, Yifan Wu<sup>1</sup>,Yi Lu<sup>1</sup>/ 蒋镇辉<sup>1</sup>，武正昱<sup>1</sup>，李佳欣<sup>1</sup>，徐昊哲<sup>2</sup>，吴轶凡<sup>1</sup>，鲁艺<sup>1</sup><br>
         <sup>1</sup>HKU Business School, <sup>2</sup>Shool of Management, Xi'an Jiaotong University<br>
          For access to the full research report, please contact Prof. Jiang at jiangz@hku.hk.
         """
     )
 
-    with gr.Tab("Image Generation Test Ranking"):
-        with gr.Column():
-                gr.DataFrame(
-                    value=show_leaderboard1_1(),
-                    interactive=False,
-                    wrap=True
-                    )
-
-    with gr.Tab("Image Revision Test Ranking"):
-        with gr.Column():
-                gr.DataFrame(
-                    value=show_leaderboard1_2(),
-                    interactive=False,
-                    wrap=True
-                    )
-            
 
-    with gr.Tab("Safety and Responsibility Ranking"):
-        with gr.Column():
-                gr.DataFrame(
-                    value=show_leaderboard1_3(),
-                    interactive=False,
-                    wrap=True
-                    )
-                
-    with gr.Tab("Rankings of Image Generation Task by Dimension"):
-        with gr.Row():
-            with gr.Column():
-                gr.Markdown("### **Alignment with Instruction**") 
-                gr.DataFrame(
-                    value=show_leaderboard2_1(),
-                    interactive=False,
-                    wrap=True
-                    )
-            with gr.Column():
-                gr.Markdown("### **Image Integrity**") 
-                gr.DataFrame(
-                    value=show_leaderboard2_2(),
-                    interactive=False,
-                    wrap=True
-                    )
-            with gr.Column():
-                gr.Markdown("### **Image Aesthetics**") 
-                gr.DataFrame(
-                    value=show_leaderboard2_3(),
-                    interactive=False,
-                    wrap=True
-                    )
-                
-    with gr.Tab("Rankings of Image Revision Task by Dimension"):
-        with gr.Row():
-            with gr.Column():
-                gr.Markdown("### **Alignment with Reference**") 
-                gr.DataFrame(
-                    value=show_leaderboard3_1(),
-                    interactive=False,
-                    wrap=True
-                    )
-            with gr.Column():
-                gr.Markdown("### **Image Integrity**") 
-                gr.DataFrame(
-                    value=show_leaderboard3_2(),
-                    interactive=False,
-                    wrap=True
-                    )
-            with gr.Column():
-                gr.Markdown("### **Image Aesthetics**") 
-                gr.DataFrame(
-                    value=show_leaderboard3_3(),
-                    interactive=False,
-                    wrap=True
-                    )                
+    with gr.Row():
+        dropdown = gr.Dropdown(choices=["Option 1: Image Generation Test Ranking", "Option 2: Image Revision Test Ranking", "Option 3: Safety and Responsibility Ranking","Option 4: Rankings of Image Generation Task by Dimensio-Alignment with Instruction","Option 5: Rankings of Image Generation Task by Dimension-Image Integrity","Option 6: Rankings of Image Generation Task by Dimension-Image Aesthetics","Option 7: Rankings of Image Revision Task by Dimension-Alignment with Reference","Option 8: Rankings of Image Revision Task by Dimension-Image Integrity","Option 9: Rankings of Image Revision Task by Dimension-Image Aesthetics"], 
+                                label="### **Select a Leaderboard**",
+                                value="Image Generation Test Ranking")  # 设置默认值为"Table 1"
+        
+    with gr.Row():
+        output = gr.DataFrame(value=dff1_1)  # 设置初始值为table_1
 
+        # 通过更新函数实现交互
+    dropdown.change(fn=display_table, inputs=dropdown, outputs=output)
 
-demo.launch(share=True)
+# 启动Gradio界面
+demo.launch()