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Update app.py
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app.py
CHANGED
@@ -11,9 +11,8 @@ print('Modules installed')
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os.system('pip install --force gradio==3.36.1')
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os.system('pip install gradio_client==0.2.7')
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#os.system('pip install numpy --upgrade')
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os.system('pip install --force numpy==1.24.1')
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os.environ["DGLBACKEND"] = "pytorch"
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if not os.path.exists('./SEQDIFF_230205_dssp_hotspots_25mask_EQtasks_mod30.pt'):
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print('Downloading model weights 1')
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@@ -216,6 +215,7 @@ def protein_diffusion_model(sequence, seq_len, helix_bias, strand_bias, loop_bia
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# sampling loop
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plddt_data = []
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for j in range(S.max_t):
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output_seq, output_pdb, plddt = S.take_step_get_outputs(j)
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plddt_data.append(plddt)
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yield output_seq, output_pdb, display_pdb(output_pdb), get_plddt_plot(plddt_data, S.max_t)
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os.system('pip install --force gradio==3.36.1')
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os.system('pip install gradio_client==0.2.7')
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#os.system('pip install numpy --upgrade')
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#os.system('pip install --force numpy==1.24.1')
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if not os.path.exists('./SEQDIFF_230205_dssp_hotspots_25mask_EQtasks_mod30.pt'):
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print('Downloading model weights 1')
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# sampling loop
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plddt_data = []
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for j in range(S.max_t):
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print(f'on step {j}')
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output_seq, output_pdb, plddt = S.take_step_get_outputs(j)
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plddt_data.append(plddt)
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yield output_seq, output_pdb, display_pdb(output_pdb), get_plddt_plot(plddt_data, S.max_t)
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