zhouxiangxin1998 commited on
Commit
bd81d17
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1 Parent(s): 46bec0c

gr.components.DataFrame

Browse files
Files changed (1) hide show
  1. app.py +9 -9
app.py CHANGED
@@ -58,55 +58,55 @@ with demo:
58
  with gr.Tabs(elem_classes="tab-buttons") as tabs:
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  with gr.TabItem("πŸ† Inverse Folding Leaderboard", elem_id='inverse-folding-table', id=0,):
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  with gr.Row():
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- inverse_folding_table = gr.DataFrame(
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  pd.read_csv('data/inverse_folding.csv'),
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  height=1000,
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  )
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  with gr.TabItem("πŸ† Structure Design Leaderboard", elem_id='structure-design-table', id=1,):
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  with gr.Row():
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- inverse_folding_table = gr.DataFrame(
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  pd.read_csv('data/structure_design.csv'),
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  height=1000,
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  )
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  with gr.TabItem("πŸ† Sequence Design Leaderboard", elem_id='sequence-design-table', id=2,):
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  with gr.Row():
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- inverse_folding_table = gr.DataFrame(
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  pd.read_csv('data/sequence_design.csv'),
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  height=1000,
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  )
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  with gr.TabItem("πŸ† Sequence-Structure Co-Design Leaderboard", elem_id='co-design-table', id=3,):
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  with gr.Row():
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- inverse_folding_table = gr.DataFrame(
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  pd.read_csv('data/co_design.csv'),
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  height=1000,
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  )
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  with gr.TabItem("πŸ† Motif Scaffolding Leaderboard", elem_id='motif-scaffolding-table', id=4,):
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  with gr.Row():
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- inverse_folding_table = gr.DataFrame(
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  pd.read_csv('data/motif_scaffolding.csv'),
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  height=1000,
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  )
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  with gr.TabItem("πŸ† Antibody Design Leaderboard", elem_id='antibody-design-table', id=5,):
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  with gr.Row():
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- inverse_folding_table = gr.DataFrame(
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  pd.read_csv('data/antibody_design.csv'),
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  height=1000,
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  )
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  with gr.TabItem("πŸ… Protein Folding Leaderboard", elem_id='protein-folding-table', id=6,):
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  with gr.Row():
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- inverse_folding_table = gr.DataFrame(
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  pd.read_csv('data/protein_folding.csv'),
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  height=1000,
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  )
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  with gr.TabItem("πŸ… Multi-State Prediction Leaderboard", elem_id='multi-state-prediction-table', id=7,):
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  with gr.Row():
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- inverse_folding_table = gr.DataFrame(
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  pd.read_csv('data/multi_state_prediction.csv'),
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  height=1000,
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  )
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  with gr.TabItem("πŸ… Conformation Prediction Leaderboard", elem_id='conformation-prediction-table', id=8,):
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  with gr.Row():
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- inverse_folding_table = gr.DataFrame(
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  pd.read_csv('data/conformation_prediction.csv'),
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  height=1000,
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  )
 
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  with gr.Tabs(elem_classes="tab-buttons") as tabs:
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  with gr.TabItem("πŸ† Inverse Folding Leaderboard", elem_id='inverse-folding-table', id=0,):
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  with gr.Row():
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+ inverse_folding_table = gr.components.DataFrame(
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  pd.read_csv('data/inverse_folding.csv'),
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  height=1000,
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  )
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  with gr.TabItem("πŸ† Structure Design Leaderboard", elem_id='structure-design-table', id=1,):
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  with gr.Row():
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+ inverse_folding_table = gr.components.DataFrame(
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  pd.read_csv('data/structure_design.csv'),
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  height=1000,
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  )
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  with gr.TabItem("πŸ† Sequence Design Leaderboard", elem_id='sequence-design-table', id=2,):
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  with gr.Row():
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+ inverse_folding_table = gr.components.DataFrame(
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  pd.read_csv('data/sequence_design.csv'),
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  height=1000,
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  )
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  with gr.TabItem("πŸ† Sequence-Structure Co-Design Leaderboard", elem_id='co-design-table', id=3,):
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  with gr.Row():
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+ inverse_folding_table = gr.components.DataFrame(
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  pd.read_csv('data/co_design.csv'),
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  height=1000,
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  )
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  with gr.TabItem("πŸ† Motif Scaffolding Leaderboard", elem_id='motif-scaffolding-table', id=4,):
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  with gr.Row():
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+ inverse_folding_table = gr.components.DataFrame(
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  pd.read_csv('data/motif_scaffolding.csv'),
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  height=1000,
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  )
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  with gr.TabItem("πŸ† Antibody Design Leaderboard", elem_id='antibody-design-table', id=5,):
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  with gr.Row():
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+ inverse_folding_table = gr.components.DataFrame(
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  pd.read_csv('data/antibody_design.csv'),
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  height=1000,
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  )
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  with gr.TabItem("πŸ… Protein Folding Leaderboard", elem_id='protein-folding-table', id=6,):
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  with gr.Row():
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+ inverse_folding_table = gr.components.DataFrame(
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  pd.read_csv('data/protein_folding.csv'),
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  height=1000,
100
  )
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  with gr.TabItem("πŸ… Multi-State Prediction Leaderboard", elem_id='multi-state-prediction-table', id=7,):
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  with gr.Row():
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+ inverse_folding_table = gr.components.DataFrame(
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  pd.read_csv('data/multi_state_prediction.csv'),
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  height=1000,
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  )
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  with gr.TabItem("πŸ… Conformation Prediction Leaderboard", elem_id='conformation-prediction-table', id=8,):
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  with gr.Row():
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+ inverse_folding_table = gr.components.DataFrame(
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  pd.read_csv('data/conformation_prediction.csv'),
111
  height=1000,
112
  )