Add fuzzy and text-classification light model #1
2 changed files with 10 additions and 2 deletions
10
main.py
10
main.py
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@ -24,6 +24,7 @@ parser = argparse.ArgumentParser(
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parser.add_argument('mode')
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parser.add_argument('-i', '--ip', required=False)
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parser.add_argument('-p', '--port', required=False, type=int)
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parser.add_argument('-m', '--mpd', required=False)
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args = parser.parse_args()
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@ -47,7 +48,14 @@ logging.info("Loading ratatouilles modules")
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walle = Hass(config.hass_url, config.hass_token)
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yoda = None # Rhasspy(config.rhasspy_url)
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mopidy = Mpd('10.10.10.8')
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mopidy = None
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if args.mpd is not None:
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mopidy = Mpd(args.mpd)
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else:
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logging.warning('Starting without MPD connection')
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ratatouille = Ratatouille(yoda, walle, mopidy, None)
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# alexa = AlexaIntent() # we are not doing any request to the evil amazon but we are using one of its dataset
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bert = BertIntent()
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@ -23,7 +23,7 @@ class Ratatouille():
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# schedule.every().day.at(config.hibernate_time).do(self.hibernate)
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# schedule.every().day.at(config.wakeup_time).do(self.clear_hibernate)
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# yoda.say('Ratatouille a bien démmaré')
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logging.info('loaded')
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# logging.info('loaded')
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def parse_rhasspy_command(self, payload):
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command = payload['intent']['intentName']
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