Predicting a single point of data from a Stata non-linear model

Question

I have a hazard model on a Weibull distribution, using the Stata command streg with the options nohr and time appended to that line of code. At least, that's the code from the do file I downloaded from a replication file.

If I have a new sliver of data, how do I compute the value of the model for that specific sliver of data? I would solve by hand in Excel (my wheelhouse is R or Python) but the closed form of the regression eludes me. I'm not sure from the documentation on the command exactly how they're adding in the other regressors and the Weibull regression has a lot of parameters that I'd rather not manually chug at. I'm hoping someone can help with what I believe is a simple out-of-sample forecast in a language I simply do not use.

infile warnum frstyear lastyear ccode1 ccode2 length logleng censor oadm oada oadp omdm omda omdp opdm opda opdp durscale rterrain rterrstr summperb sumpopbg popratbg bofadjbg qualratb salscale reprsumb demosumb surpdiff nactors adis3010 using 1perwarf.raw

stset length, id(warnum) fail(censor)

streg oadm oada oadp opda rterrain  rterrstr  bofadjbg summperb sumpopbg popratbg qualratb surpdiff salscale  reprsumb demosumb adis3010  nactors, dist(weibull) nohr time