Chase
Chase
which python version are you running?
yes, I'd really appreciate this feature. Some way of "introspection" is really the feature I particularly wanted, but this should be more general and allow even cooler usecases.
It should work fine, as seen [here](https://regex101.com/r/G3N2Ep/1). Note that the regex you pasted in the issue is rendered incorrectly, here's the actual regex just for context- ```regex r'\[.+\] (?!' +...
As long as they are in the format of a response - as in, another person's message followed by your message - it should be parsed correctly. Ensure you set...
Unfortunately, the training is only capable of working with atomic response sets - that is, one reply to one statement. But as long as there are multiple response sets in...
I'd also like to add, all the modifications and tests should either be performed on the `python3-upgrade` branch or some another branch that is directly derived from `python3-upgrade` **not** master....
@adeshpande3 Hello again, I rolled out a bunch of changes and ported the tensorflow 1.0 functions to tensorflow 2.0 over in the [`python3-upgrade`](https://github.com/adeshpande3/Facebook-Messenger-Bot/tree/python3-upgrade) branch. Right now, the functions do work,...
Noted, will add as soon as we resolve #55 :) Many more impovements/speed ups to come on `createDataset.py` right after too!
@adeshpande3 let me know what you think of these changes, and also if you'd like me to know anything while porting.
@adeshpande3 Everything except `tf.contrib.legacy_seq2seq` has an alternative in tensorflow 2.1.0. This blocks me from upgrading `Seq2Seq.py` to python 3. I'm not really experienced enough to come up with an alternative...