add tabitem id

app.py

@@ -56,55 +56,55 @@ with demo:
             gr.HTML(f'<img src="data:image/jpeg;base64,{main_logo}" style="width:16em;vertical-align: middle"/>')
 
     with gr.Tabs(elem_classes="tab-buttons") as tabs:
-        with gr.TabItem("🏆 Inverse Folding Leaderboard"):
+        with gr.TabItem("🏆 Inverse Folding Leaderboard", elem_id='inverse-folding-table', id=0,):
             with gr.Row():
                 inverse_folding_table = gr.DataFrame(
                     pd.read_csv('data/inverse_folding.csv'),
                     height=1000,
                 )
-        with gr.TabItem("🏆 Structure Design Leaderboard"):
+        with gr.TabItem("🏆 Structure Design Leaderboard", elem_id='structure-design-table', id=1,):
             with gr.Row():
                 inverse_folding_table = gr.DataFrame(
                     pd.read_csv('data/structure_design.csv'),
                     height=1000,
                 )
-        with gr.TabItem("🏆 Sequence Design Leaderboard"):
+        with gr.TabItem("🏆 Sequence Design Leaderboard", elem_id='sequence-design-table', id=2,):
             with gr.Row():
                 inverse_folding_table = gr.DataFrame(
                     pd.read_csv('data/sequence_design.csv'),
                     height=1000,
                 )
-        with gr.TabItem("🏆 Sequence-Structure Co-Design Leaderboard"):
+        with gr.TabItem("🏆 Sequence-Structure Co-Design Leaderboard", elem_id='co-design-table', id=3,):
             with gr.Row():
                 inverse_folding_table = gr.DataFrame(
                     pd.read_csv('data/co_design.csv'),
                     height=1000,
                 )
-        with gr.TabItem("🏆 Motif Scaffolding Leaderboard"):
+        with gr.TabItem("🏆 Motif Scaffolding Leaderboard", elem_id='motif-scaffolding-table', id=4,):
             with gr.Row():
                 inverse_folding_table = gr.DataFrame(
                     pd.read_csv('data/motif_scaffolding.csv'),
                     height=1000,
                 )
-        with gr.TabItem("🏆 Antibody Design Leaderboard"):
+        with gr.TabItem("🏆 Antibody Design Leaderboard", elem_id='antibody-design-table', id=5,):
             with gr.Row():
                 inverse_folding_table = gr.DataFrame(
                     pd.read_csv('data/antibody_design.csv'),
                     height=1000,
                 )
-        with gr.TabItem("🏅 Protein Folding Leaderboard"):
+        with gr.TabItem("🏅 Protein Folding Leaderboard", elem_id='protein-folding-table', id=6,):
             with gr.Row():
                 inverse_folding_table = gr.DataFrame(
                     pd.read_csv('data/protein_folding.csv'),
                     height=1000,
                 )
-        with gr.TabItem("🏅 Multi-State Prediction Leaderboard"):
+        with gr.TabItem("🏅 Multi-State Prediction Leaderboard", elem_id='multi-state-prediction-table', id=7,):
             with gr.Row():
                 inverse_folding_table = gr.DataFrame(
                     pd.read_csv('data/multi_state_prediction.csv'),
                     height=1000,
                 )
-        with gr.TabItem("🏅 Conformation Prediction Leaderboard"):
+        with gr.TabItem("🏅 Conformation Prediction Leaderboard", elem_id='conformation-prediction-table', id=8,):
             with gr.Row():
                 inverse_folding_table = gr.DataFrame(
                     pd.read_csv('data/conformation_prediction.csv'),