zhouxiangxin1998 commited on
Commit
1926ca7
β€’
1 Parent(s): 59f8d7c

more height

Browse files
Files changed (1) hide show
  1. app.py +8 -8
app.py CHANGED
@@ -60,49 +60,49 @@ with demo:
60
  with gr.Row():
61
  inverse_folding_table = gr.components.DataFrame(
62
  pd.read_csv('data/inverse_folding.csv'),
63
- height=1000,
64
  interactive=False,
65
  )
66
  with gr.TabItem("πŸ† Structure Design Leaderboard", elem_id='structure-design-table', id=1,):
67
  with gr.Row():
68
  inverse_folding_table = gr.components.DataFrame(
69
  pd.read_csv('data/structure_design.csv'),
70
- height=1000,
71
  interactive=False,
72
  )
73
  with gr.TabItem("πŸ† Sequence Design Leaderboard", elem_id='sequence-design-table', id=2,):
74
  with gr.Row():
75
  inverse_folding_table = gr.components.DataFrame(
76
  pd.read_csv('data/sequence_design.csv'),
77
- height=1000,
78
  interactive=False,
79
  )
80
  with gr.TabItem("πŸ† Sequence-Structure Co-Design Leaderboard", elem_id='co-design-table', id=3,):
81
  with gr.Row():
82
  inverse_folding_table = gr.components.DataFrame(
83
  pd.read_csv('data/co_design.csv'),
84
- height=1000,
85
  interactive=False,
86
  )
87
  with gr.TabItem("πŸ† Motif Scaffolding Leaderboard", elem_id='motif-scaffolding-table', id=4,):
88
  with gr.Row():
89
  inverse_folding_table = gr.components.DataFrame(
90
  pd.read_csv('data/motif_scaffolding.csv'),
91
- height=1000,
92
  interactive=False,
93
  )
94
  with gr.TabItem("πŸ† Antibody Design Leaderboard", elem_id='antibody-design-table', id=5,):
95
  with gr.Row():
96
  inverse_folding_table = gr.components.DataFrame(
97
  pd.read_csv('data/antibody_design.csv'),
98
- height=1000,
99
  interactive=False,
100
  )
101
  with gr.TabItem("πŸ… Protein Folding Leaderboard", elem_id='protein-folding-table', id=6,):
102
  with gr.Row():
103
  inverse_folding_table = gr.components.DataFrame(
104
  pd.read_csv('data/protein_folding.csv'),
105
- height=1000,
106
  interactive=False,
107
  )
108
  with gr.TabItem("πŸ… Multi-State Prediction Leaderboard", elem_id='multi-state-prediction-table', id=7,):
@@ -116,7 +116,7 @@ with demo:
116
  with gr.Row():
117
  inverse_folding_table = gr.components.DataFrame(
118
  pd.read_csv('data/conformation_prediction.csv'),
119
- height=1000,
120
  interactive=False,
121
  )
122
 
 
60
  with gr.Row():
61
  inverse_folding_table = gr.components.DataFrame(
62
  pd.read_csv('data/inverse_folding.csv'),
63
+ height=99999,
64
  interactive=False,
65
  )
66
  with gr.TabItem("πŸ† Structure Design Leaderboard", elem_id='structure-design-table', id=1,):
67
  with gr.Row():
68
  inverse_folding_table = gr.components.DataFrame(
69
  pd.read_csv('data/structure_design.csv'),
70
+ height=99999,
71
  interactive=False,
72
  )
73
  with gr.TabItem("πŸ† Sequence Design Leaderboard", elem_id='sequence-design-table', id=2,):
74
  with gr.Row():
75
  inverse_folding_table = gr.components.DataFrame(
76
  pd.read_csv('data/sequence_design.csv'),
77
+ height=99999,
78
  interactive=False,
79
  )
80
  with gr.TabItem("πŸ† Sequence-Structure Co-Design Leaderboard", elem_id='co-design-table', id=3,):
81
  with gr.Row():
82
  inverse_folding_table = gr.components.DataFrame(
83
  pd.read_csv('data/co_design.csv'),
84
+ height=99999,
85
  interactive=False,
86
  )
87
  with gr.TabItem("πŸ† Motif Scaffolding Leaderboard", elem_id='motif-scaffolding-table', id=4,):
88
  with gr.Row():
89
  inverse_folding_table = gr.components.DataFrame(
90
  pd.read_csv('data/motif_scaffolding.csv'),
91
+ height=99999,
92
  interactive=False,
93
  )
94
  with gr.TabItem("πŸ† Antibody Design Leaderboard", elem_id='antibody-design-table', id=5,):
95
  with gr.Row():
96
  inverse_folding_table = gr.components.DataFrame(
97
  pd.read_csv('data/antibody_design.csv'),
98
+ height=99999,
99
  interactive=False,
100
  )
101
  with gr.TabItem("πŸ… Protein Folding Leaderboard", elem_id='protein-folding-table', id=6,):
102
  with gr.Row():
103
  inverse_folding_table = gr.components.DataFrame(
104
  pd.read_csv('data/protein_folding.csv'),
105
+ height=99999,
106
  interactive=False,
107
  )
108
  with gr.TabItem("πŸ… Multi-State Prediction Leaderboard", elem_id='multi-state-prediction-table', id=7,):
 
116
  with gr.Row():
117
  inverse_folding_table = gr.components.DataFrame(
118
  pd.read_csv('data/conformation_prediction.csv'),
119
+ height=99999,
120
  interactive=False,
121
  )
122