timer skill
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@ -13,7 +13,7 @@
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- [ ] Gmail
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- [ ] ChatGPT
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- [ ] Reminders
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- [ ] Timers
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- [x] Timers - TODO: Adding in sound notifications.
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- [ ] Todos
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- [ ] Weather
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- [ ] Wolfram
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@ -28,8 +28,15 @@
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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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- Current Solution: https://github.com/synesthesiam/opentts
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## API Specs
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Using websockets for communication allows for two way communication where the server can send the client info at any point
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Link for example: https://stackoverflow.com/questions/53331127/python-websockets-send-to-client-and-keep-connection-alive
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More examples (includes jwt authentication, though this is in node.js, still useful for figuring out how to do this stuff): https://www.linode.com/docs/guides/authenticating-over-websockets-with-jwt/
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## Ideas
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* Dashboard with api call counts
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@ -32,6 +32,9 @@
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from transformers import pipeline
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import spacy
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from datetime import datetime
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import time
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# text = "When Sebastian Thrun started working on self-driving cars at Google in 2007, few people outside of the company took him seriously."
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# doc = nlp(text)
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@ -64,18 +67,50 @@ class NLP:
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if __name__ == "__main__":
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nlp = NLP(['travel', 'cooking', 'dancing', 'weather'])
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starttime = time.time()
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nlp = NLP(['weather', 'timer', 'physics', 'mathematics'])
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print(f"Init: {time.time()-starttime}")
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starttime = time.time()
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print('==')
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print(nlp.get_skill("one day I will see the world"))
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print(f"Took: {time.time()-starttime}")
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starttime = time.time()
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print("yay!")
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print(nlp.get_skill("What is the weather today?"))
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print(f"Took: {time.time()-starttime}")
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starttime = time.time()
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print('==')
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print(nlp.get_skill("What is air resistance of a spaceship with a mass of 1000kg"))
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print(f"Took: {time.time()-starttime}")
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starttime = time.time()
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print(nlp.get_skill("What is five plus five"))
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print(f"Took: {time.time()-starttime}")
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starttime = time.time()
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print('====')
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print(nlp.get_named_entities("one day I will see the world"))
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print(f"Took: {time.time()-starttime}")
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starttime = time.time()
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print("yay!")
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print(nlp.get_named_entities("What is the weather today in london?"))
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print(f"Took: {time.time()-starttime}")
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starttime = time.time()
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print('====')
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print('======')
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print(nlp.get_named_entities("set a timer for 1 minute and 15 seconds"))
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print(f"Took: {time.time()-starttime}")
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starttime = time.time()
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print(nlp.get_named_entities("remind me at May 5th at 2:30 in the afternoon to wash the dog"))
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print(f"Took: {time.time()-starttime}")
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starttime = time.time()
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print(nlp.get_skill("remind me at May 5th at 2:30 in the afternoon to wash the dog"))
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print(f"Took: {time.time()-starttime}")
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starttime = time.time()
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print('======')
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# sequence_to_classify = "one day I will see the world"
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# candidate_labels = ['travel', 'cooking', 'dancing']
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# print(classifier(sequence_to_classify, candidate_labels))
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@ -84,7 +84,8 @@ class Timers:
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self._remove_timer(name)
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# #TODO: play timer done sound
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# TODO: play timer done sound, send response on api saying to listen to ntfy.sh for signal to trigger sound.
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# Better option for two way communication: WEBSOCKETS!
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return schedule.CancelJob
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def get_remaining_time(self, name=""): #TODO: test this function
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@ -110,6 +111,6 @@ class Timers:
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if __name__ == "__main__":
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dur = Timers()
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dur.run("add", "2 minutes", "test timer")
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dur.run("add", "15 seconds", "test timer")
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# dur._add_timer(123, "123")
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# dur._trigger_timer("123")
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@ -25,3 +25,6 @@ while True:
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# TODO: Make api request to backend with resulting text in callback function.
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# Use to connect to backend with bi-directional communication, allows for alarms/timers/etc to work:
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# https://pypi.org/project/websocket-client/
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