Closed sekamaneka closed 7 years ago
So do you think for the second one that Wolfram should only be activated when you say something like search for the roots of x squared plus three equals zero on Wolfram
?
That sound a bit clunky. What about saying: what can you tell me about blabla
for wolfram vs. search about blabla
for google?
@swilso793 That might do provided we get a Google skill working. My only concern is that the difference is so subtle and arbitrary that it might confuse new users. Although we already do that with the Wikipedia skill (with the phrase tell me about
).
I tried putting a return
call right at the first line of the handle_fallback
function in the __init__.py
of the WoframAlpha skill and it's awesome. If you have the screens open you don't really need the feedback and it speeds up development by a lot.
I have to agree on this one. I find two annoying things happening with the WolframAlpha fallback:
This brings up a good point slightly unrelated: Perphaps Mycroft should ignore any STT with a confidence lower than a certain value. If I remember correctly, Google gives some level of confidence attached to each proposed transcription. Provided they aren't normalized so that they all add up to 1.0
, that can be used to filter out such occurances. As for the first one, if anything I think it might make more sense to disable the fallback mode in Wolfram and instead make it a skill that uses the regex in EnglishQuestionParser as the vocab.
This issue was resolved a while back.
Any suggestions/ideas?