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Running
Running
zhouxiangxin1998
commited on
Commit
•
bd81d17
1
Parent(s):
46bec0c
gr.components.DataFrame
Browse files
app.py
CHANGED
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@@ -58,55 +58,55 @@ with demo:
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with gr.Tabs(elem_classes="tab-buttons") as tabs:
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with gr.TabItem("🏆 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("🏆 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("🏆 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("🏆 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("🏆 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("🏆 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("🏅 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("🏅 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("🏅 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("🏆 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("🏆 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("🏆 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("🏆 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("🏆 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("🏆 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("🏅 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,
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)
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with gr.TabItem("🏅 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("🏅 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'),
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height=1000,
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)
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