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README.md
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README.md
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# A Siri like AI Assistant
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---
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* Uses ChatGPT for general queries
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* Uses Wolfram Alpha for anything math related
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## Skills
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---
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[ ] Alarms
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[ ] Calendar
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[ ] Gmail
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[ ] ChatGPT
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[ ] Reminders
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[ ] Timers
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[ ] Todos
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[ ] Weather
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[ ] Wolfram
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- [ ] Alarms
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- [ ] Calendar
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- [ ] Gmail
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- [ ] ChatGPT
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- [ ] Reminders
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- [ ] Timers
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- [ ] Todos
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- [ ] Weather
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- [ ] Wolfram
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[x] NLP
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[x] Speech to Text (frontend for sure)
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[ ] API
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[ ] Authentication
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[ ] General API
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[ ] TTS
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- [ ] API
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- [ ] Authentication
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- [ ] General API
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- [ ] TTS
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- generate audio on backend or frontend?
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- Perks of backend is fast generation
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- Cons of backend is large file transfers between devices, lots of internet usage
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- Perks of frontend is less data transfer between devices requiring less internet usage
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- Cons of frontend is slower generation
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## Ideas
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* Dashboard with api call counts
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from ctparse import ctparse
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from ctparse import ctparse #Used for parsing time, https://ctparse.readthedocs.io/en/latest/
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from datetime import datetime
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def parsetime(phrase):
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@ -7,4 +7,4 @@ def parsetime(phrase):
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if __name__ == "__main__":
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print(parsetime('May 5th 2:30 in the afternoon').ref_time)
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print(parsetime('May 5th 2:30 in the afternoon').ref_time6)
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