zhouxiangxin1998 commited on
Commit
06fad3c
β€’
1 Parent(s): 64d3477

fix interactive

Browse files
Files changed (1) hide show
  1. app.py +9 -1
app.py CHANGED
@@ -61,55 +61,63 @@ with demo:
61
  inverse_folding_table = gr.components.DataFrame(
62
  pd.read_csv('data/inverse_folding.csv'),
63
  height=1000,
 
64
  )
65
  with gr.TabItem("πŸ† Structure Design Leaderboard", elem_id='structure-design-table', id=1,):
66
  with gr.Row():
67
  inverse_folding_table = gr.components.DataFrame(
68
  pd.read_csv('data/structure_design.csv'),
69
  height=1000,
 
70
  )
71
  with gr.TabItem("πŸ† Sequence Design Leaderboard", elem_id='sequence-design-table', id=2,):
72
  with gr.Row():
73
  inverse_folding_table = gr.components.DataFrame(
74
  pd.read_csv('data/sequence_design.csv'),
75
  height=1000,
 
76
  )
77
  with gr.TabItem("πŸ† Sequence-Structure Co-Design Leaderboard", elem_id='co-design-table', id=3,):
78
  with gr.Row():
79
  inverse_folding_table = gr.components.DataFrame(
80
  pd.read_csv('data/co_design.csv'),
81
  height=1000,
 
82
  )
83
  with gr.TabItem("πŸ† Motif Scaffolding Leaderboard", elem_id='motif-scaffolding-table', id=4,):
84
  with gr.Row():
85
  inverse_folding_table = gr.components.DataFrame(
86
  pd.read_csv('data/motif_scaffolding.csv'),
87
  height=1000,
 
88
  )
89
  with gr.TabItem("πŸ† Antibody Design Leaderboard", elem_id='antibody-design-table', id=5,):
90
  with gr.Row():
91
  inverse_folding_table = gr.components.DataFrame(
92
  pd.read_csv('data/antibody_design.csv'),
93
  height=1000,
 
94
  )
95
  with gr.TabItem("πŸ… Protein Folding Leaderboard", elem_id='protein-folding-table', id=6,):
96
  with gr.Row():
97
  inverse_folding_table = gr.components.DataFrame(
98
  pd.read_csv('data/protein_folding.csv'),
99
  height=1000,
 
100
  )
101
  with gr.TabItem("πŸ… Multi-State Prediction Leaderboard", elem_id='multi-state-prediction-table', id=7,):
102
  with gr.Row():
103
  inverse_folding_table = gr.components.DataFrame(
104
  pd.read_csv('data/multi_state_prediction.csv'),
105
  height=10000,
106
- interactive=False
107
  )
108
  with gr.TabItem("πŸ… Conformation Prediction Leaderboard", elem_id='conformation-prediction-table', id=8,):
109
  with gr.Row():
110
  inverse_folding_table = gr.components.DataFrame(
111
  pd.read_csv('data/conformation_prediction.csv'),
112
  height=1000,
 
113
  )
114
 
115
 
 
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,):
109
  with gr.Row():
110
  inverse_folding_table = gr.components.DataFrame(
111
  pd.read_csv('data/multi_state_prediction.csv'),
112
  height=10000,
113
+ interactive=False,
114
  )
115
  with gr.TabItem("πŸ… Conformation Prediction Leaderboard", elem_id='conformation-prediction-table', id=8,):
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
 
123