reorganize codebase. Add in more of the framework for adding skills.
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backend/NLP.py
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backend/NLP.py
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# Natural Language Processing using something like https://spacy.io
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# this will allow us to figure out what the query means
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# i.e we might not have to add the word "wolfram" into a query to send it to wolfram...
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backend/main.py
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backend/main.py
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from skills.alarms import Alarms
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from skills.cal import Cal
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from skills.gmail import Gmail
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from skills.gpt import GPT
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from skills.reminders import Reminders
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from skills.timers import Timers
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from skills.todos import Todos
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from skills.weather import Weather
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from skills.wolfram import Wolfram
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skills = [GPT(), Alarms(), Cal(), Gmail(), Reminders(), Timers(), Todos(), Weather(), Wolfram()]
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if __name__ == "__main__":
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print("Skill Trigger Phrases: ")
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for skill in skills:
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print(skill.trigger_phrase)
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backend/skills/alarms.py
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backend/skills/alarms.py
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class Alarms:
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def __init__(self):
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self.trigger_phrase = "alarms"
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backend/skills/cal.py
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backend/skills/cal.py
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class Cal:
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def __init__(self):
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self.trigger_phrase = "calendar"
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backend/skills/gmail.py
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backend/skills/gmail.py
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class Gmail:
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def __init__(self):
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self.trigger_phrase = "gmail"
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backend/skills/gpt.py
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backend/skills/gpt.py
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class GPT:
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def __init__(self):
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self.trigger_phrase = "gpt"
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backend/skills/reminders.py
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backend/skills/reminders.py
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class Reminders: # ntfy.sh notification?
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def __init__(self):
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self.trigger_phrase = "reminders"
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from config import ntfy_url
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from skills.config import ntfy_url
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import requests
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class Timers:
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backend/skills/todos.py
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backend/skills/todos.py
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class Todos: # Notion api?
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def __init__(self):
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self.trigger_phrase = "todos"
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backend/skills/weather.py
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backend/skills/weather.py
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class Weather: #open weather map api
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def __init__(self):
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self.trigger_phrase = "weather"
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backend/skills/wolfram.py
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backend/skills/wolfram.py
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class Wolfram: #wolfram alpha api
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def __init__(self):
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self.trigger_phrase = "wolfram"
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@ -22,3 +22,6 @@ stop_listening = r.listen_in_background(m, callback)
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print("Listening...")
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while True:
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time.sleep(0.1)
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# TODO: Make api request to backend with resulting text in callback function.
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frontend/tts.py
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frontend/tts.py
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# make requests to https://github.com/synesthesiam/opentts and play resulting wav file
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