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from tempfile import NamedTemporaryFile | |
from gradio import Blocks, Button, Checkbox, Dropdown, Examples, File, HTML, Markdown, Textbox | |
from model import get_models | |
from data import Data | |
# Define scoring strategies | |
SCORING = ["wt-marginals", "masked-marginals"] | |
# Get available models | |
MODELS = get_models() | |
def app(*argv): | |
""" | |
Main application function | |
""" | |
# Unpack the arguments | |
seq, trg, model_name, *_ = argv | |
scoring = SCORING[scoring_strategy.value] | |
try: | |
# Calculate the data based on the input parameters | |
data = Data(seq, trg, model_name, scoring, out_file).calculate() | |
except Exception as e: | |
# If an error occurs, return an HTML error message | |
return f'<!DOCTYPE html><html><body><h1 style="background-color:#F70D1A;text-align:center;">Error: {str(e)}</h1></body></html>', None | |
# If no error occurs, return the calculated data | |
return repr(data), File(value=out_file.name, visible=True) | |
# Create the Gradio interface | |
with open("instructions.md", "r", encoding="utf-8") as md,\ | |
NamedTemporaryFile(mode='w+') as out_file,\ | |
Blocks() as esm_scan: | |
# Define the interface components | |
Markdown(md.read()) | |
seq = Textbox( | |
lines=2, | |
label="Sequence", | |
placeholder="FASTA sequence here...", | |
value='' | |
) | |
trg = Textbox( | |
lines=1, | |
label="Substitutions", | |
placeholder="Substitutions here...", | |
value="" | |
) | |
model_name = Dropdown(MODELS, label="Model", value="facebook/esm2_t30_150M_UR50D") | |
scoring_strategy = Checkbox(value=True, label="Use masked-marginals scoring") | |
btn = Button(value="Run") | |
out = HTML() | |
bto = File( | |
value=out_file.name, | |
visible=False, | |
label="Download", | |
file_count='single', | |
interactive=False | |
) | |
btn.click( | |
fn=app, | |
inputs=[seq, trg, model_name], | |
outputs=[out, bto] | |
) | |
ex = Examples( | |
examples=[ | |
[ | |
"MVEQYLLEAIVRDARDGITISDCSRPDNPLVFVNDAFTRMTGYDAEEVIGKNCRFLQRGDINLSAVHTIKIAMLTHEPCLVTLKNYRKDGTIFWNELSLTPIINKNGLITHYLGIQKDVSAQVILNQTLHEENHLLKSNKEMLEYLVNIDALTGLHNRRFLEDQLVIQWKLASRHINTITIFMIDIDYFKAFNDTYGHTAGDEALRTIAKTLNNCFMRGSDFVARYGGEEFTILAIGMTELQAHEYSTKLVQKIENLNIHHKGSPLGHLTISLGYSQANPQYHNDQNLVIEQADRALYSAKVEGKNRAVAYREQ", | |
"deep mutational scanning", | |
"facebook/esm2_t6_8M_UR50D" | |
], | |
[ | |
"MVEQYLLEAIVRDARDGITISDCSRPDNPLVFVNDAFTRMTGYDAEEVIGKNCRFLQRGDINLSAVHTIKIAMLTHEPCLVTLKNYRKDGTIFWNELSLTPIINKNGLITHYLGIQKDVSAQVILNQTLHEENHLLKSNKEMLEYLVNIDALTGLHNRRFLEDQLVIQWKLASRHINTITIFMIDIDYFKAFNDTYGHTAGDEALRTIAKTLNNCFMRGSDFVARYGGEEFTILAIGMTELQAHEYSTKLVQKIENLNIHHKGSPLGHLTISLGYSQANPQYHNDQNLVIEQADRALYSAKVEGKNRAVAYREQ", | |
"217 218 219", | |
"facebook/esm2_t12_35M_UR50D" | |
], | |
[ | |
"MVEQYLLEAIVRDARDGITISDCSRPDNPLVFVNDAFTRMTGYDAEEVIGKNCRFLQRGDINLSAVHTIKIAMLTHEPCLVTLKNYRKDGTIFWNELSLTPIINKNGLITHYLGIQKDVSAQVILNQTLHEENHLLKSNKEMLEYLVNIDALTGLHNRRFLEDQLVIQWKLASRHINTITIFMIDIDYFKAFNDTYGHTAGDEALRTIAKTLNNCFMRGSDFVARYGGEEFTILAIGMTELQAHEYSTKLVQKIENLNIHHKGSPLGHLTISLGYSQANPQYHNDQNLVIEQADRALYSAKVEGKNRAVAYREQ", | |
"R218K R218S R218N R218A R218V R218D", | |
"facebook/esm2_t30_150M_UR50D", | |
], | |
[ | |
"MVEQYLLEAIVRDARDGITISDCSRPDNPLVFVNDAFTRMTGYDAEEVIGKNCRFLQRGDINLSAVHTIKIAMLTHEPCLVTLKNYRKDGTIFWNELSLTPIINKNGLITHYLGIQKDVSAQVILNQTLHEENHLLKSNKEMLEYLVNIDALTGLHNRRFLEDQLVIQWKLASRHINTITIFMIDIDYFKAFNDTYGHTAGDEALRTIAKTLNNCFMRGSDFVARYGGEEFTILAIGMTELQAHEYSTKLVQKIENLNIHHKGSPLGHLTISLGYSQANPQYHNDQNLVIEQADRALYSAKVEGKNRAVAYREQ", | |
"MVEQYLLEAIVRDARDGITISDCSRPDNPLVFVNDAFTRMTGYDAEEVIGKNCRFLQRGDINLSAVHTIKIAMLTHEPCLVTLKNYRKDGTIFWNELSLTPIINKNGLITHYLGIQKDVSAQVILNQTLHEENHLLKSNKEMLEYLVNIDALTGLHNRRFLEDQLVIQWKLASRHINTITIFMIDIDYFKAFNDTYGHTAGDEALRTIAKTLNNCFMWGSDFVARYGGEEFTILAIGMTELQAHEYSTKLVQKIENLNIHHKGSPLGHLTISLGYSQANPQYHNDQNLVIEQADRALYSAKVEGKNRAVAYREQ", | |
"facebook/esm2_t33_650M_UR50D", | |
], | |
], | |
inputs=[seq, | |
trg, | |
model_name], | |
outputs=[out, | |
bto], | |
fn=app | |
) | |
# Launch the Gradio interface | |
if __name__ == "__main__": | |
esm_scan.launch() | |