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Update gradio_app.py
Browse files- gradio_app.py +10 -23
gradio_app.py
CHANGED
@@ -11,6 +11,13 @@ import shutil
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class DrugGENConfig:
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submodel='DrugGEN'
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act='relu'
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max_atom=45
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dim=32
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@@ -18,35 +25,15 @@ class DrugGENConfig:
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heads=8
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mlp_ratio=3
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dropout=0.
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features=False
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sample_num=1000
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inf_batch_size=1
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protein_data_dir='data/akt'
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drug_index='data/drug_smiles.index'
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drug_data_dir='data/akt'
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mol_data_dir='data/'
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log_dir='experiments/logs'
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model_save_dir='experiments/models'
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inference_model="experiments/models/DrugGEN/"
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sample_dir='experiments/samples'
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result_dir="experiments/tboard_output"
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dataset_file="chembl45_train.pt"
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drug_dataset_file="akt_train.pt"
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raw_file='data/chembl_train.smi'
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drug_raw_file="data/akt_train.smi"
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inf_dataset_file="chembl45_test.pt"
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inf_drug_dataset_file='akt_test.pt'
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inf_raw_file='data/chembl_test.smi'
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inf_drug_raw_file="data/akt_test.smi"
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log_sample_step=1000
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set_seed=
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seed=
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class NoTargetConfig(DrugGENConfig):
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submodel="NoTarget"
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dim=128
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inference_model="experiments/models/NoTarget"
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model_configs = {
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class DrugGENConfig:
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submodel='DrugGEN'
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inference_model="experiments/models/DrugGEN/"
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sample_num=1000
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inf_dataset_file="chembl45_test.pt"
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inf_raw_file='data/chembl_test.smi'
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inf_batch_size=1
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mol_data_dir='data'
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features=False
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act='relu'
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max_atom=45
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dim=32
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heads=8
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mlp_ratio=3
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dropout=0.
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log_sample_step=1000
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set_seed=True
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seed=10
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class NoTargetConfig(DrugGENConfig):
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submodel="NoTarget"
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dim=128
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inference_model="experiments/models/NoTarget/"
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model_configs = {
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