158 lines
7.3 KiB
Python
158 lines
7.3 KiB
Python
from modules.NLU import NLU
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from modules.DST import DST
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from modules.DP import DP
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from modules.NLG import NLG
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import re
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def format_prediction(prediction, intent):
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out_list = []
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for idx, tup in enumerate(prediction):
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if tup[1][0] == 'B':
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slot_list = [intent, 'Cinema', tup[1][2:], tup[0]]
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for tup in prediction[idx + 1:]:
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if tup[1][0] != 'I':
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break
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else:
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slot_list[3] += ' ' + tup[0]
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out_list.append(slot_list)
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for slot in out_list:
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slot[3] = re.sub("^[!\"#$%&\'()*+,.;:<=>?\[\]^_`{|}~]+", '', slot[3])
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slot[3] = re.sub("[!\"#$%&\'()*+,.;:<=>?\[\]^_`{|}~]+$", '', slot[3])
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return out_list
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def main():
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nlu = NLU()
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dst = DST()
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dp = DP()
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nlg = NLG()
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nlu.train_slot_model('data/train+test-pl.conllu', 'data/train+test-pl.conllu')
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nlu.train_intent_model('data/NLU_data_intent')
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# nlu.load_slot_model('slot-model-pl')
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# nlu.load_intent_model('intent-model-pl')
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print('===========================================')
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print('### By otrzymać pomoc, wpisz /pomoc ###')
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print('### By zakończyć rozmowę, wpisz /koniec ###')
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print('Witaj, jestem Usher - system do rezerwacji biletów kinowych. W czym mogę Ci pomóc?')
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# WIP
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while True:
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user_input = input('> ')
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user_input_lr = user_input.lower()
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flag = False
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slots = nlu.predict_slots(user_input)
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intent = nlu.predict_intent(user_input)
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formatted_prediction = format_prediction(slots, intent)
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for slot in formatted_prediction:
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if slot[2]=='seat':
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if ',' in slot[3]:
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seat,row = slot[3].split(',')
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formatted_prediction.remove(['inform', 'Cinema', 'seat', slot[3]])
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formatted_prediction.append(['inform', 'Cinema', 'seat', seat])
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formatted_prediction.append(['inform', 'Cinema', 'row', f' {row}'])
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if format_prediction == []:
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print('Czy mogę w czymś jeszcze pomóc? ')
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if user_input_lr == '/pomoc':
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print('TEKST_POMOCY_WIP')
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elif user_input_lr == '/koniec':
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print('Dziękuję za skorzystanie z moich usług. Miłego dnia!')
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break
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elif 'rezerw' in user_input_lr:
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if 'anulo' in user_input_lr:
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for slot in slots:
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if slot == 'B-e-mail' or '@' in slot[0]:
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print(nlg.update([['cinema','inform','cancel_book',slot[0]]]))
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dst.update([['inform', 'Cinema', 'task', 'cancel_book'],['inform', 'Cinema', 'cancel_book_status',True]])
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flag = True
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if not flag:
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dst.update([['inform', 'Cinema', 'task', 'cancel_book'],['inform', 'Cinema', 'cancel_book_status',False]])
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print(nlg.update([['cinema','inform','cancel_book','']]))
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else:
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dst.update([['inform', 'Cinema', 'task', 'book']])
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dst.update(formatted_prediction)
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for slot,value in dst.state['belief_state']['cinema']['book'].items():
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if value == '':
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print(nlg.update([['cinema','request',slot,'']]))
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break
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elif slot=="row" and value != '':
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for slot,value in dst.state['belief_state']['cinema']['semi'].items():
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if value == '':
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print(nlg.update([['cinema','request',slot,'']]))
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break
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elif slot in ["cancel_book_status","cancel_buy_status"] and value =='':
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continue
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elif 'kup' in user_input_lr or ('zwr' and 'bilet') in user_input_lr:
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if 'anulo' in user_input_lr or 'zwr' in user_input_lr:
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for slot in slots:
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if slot == 'B-e-mail' or '@' in slot[0]:
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print(nlg.update([['cinema','inform','cancel_buy',slot[0]]]))
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dst.update([['inform', 'Cinema', 'task', 'cancel_buy'],['inform', 'Cinema', 'cancel_buy_status',True]])
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flag = True
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if not flag:
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dst.update([['inform', 'Cinema', 'task', 'cancel_buy'],['inform', 'Cinema', 'cancel_buy_status',False]])
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print(nlg.update([['cinema','inform','cancel_buy','']]))
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else:
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dst.update([['inform', 'Cinema', 'task', 'buy']])
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dst.update(formatted_prediction)
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print(dst.state)
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for slot,value in dst.state['belief_state']['cinema']['book'].items():
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if value == '':
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print(nlg.update([['cinema','request',slot,'']]))
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break
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elif slot=="row" and value != '':
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for slot,value in dst.state['belief_state']['cinema']['semi'].items():
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if value == '':
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print(nlg.update([['cinema','request',slot,'']]))
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break
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elif slot in ["cancel_book_status","cancel_buy_status"] and value =='':
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continue
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elif (('jak' or 'któr') and 'film') in user_input_lr or 'repertuar' in user_input_lr:
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dst.update([['inform', 'Cinema', 'task', 'show_movies']])
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print(nlg.update([['cinema','offer','task','closestscreening']]))
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elif (('czy' or 'jakie' or 'które') and ('dostęp' or 'woln' or 'zajęt') and 'miejsc') in user_input_lr:
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dst.update([['inform', 'Cinema', 'task', 'show_seats']])
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print(nlg.update([['cinema','inform','task','seat']]))
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else:
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print(formatted_prediction) # NLU output
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dst.update(formatted_prediction)
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print(dst.state) # DST output
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#DP
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for slot,value in dst.state['belief_state']['cinema']['book'].items():
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if value == '':
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print(nlg.update([['cinema','request',slot,'']]))
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break
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elif slot=="row" and value != '':
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for slot,value in dst.state['belief_state']['cinema']['semi'].items():
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if slot == 'payments' and value == '':
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print('Czy chciałbyś dokonać płatności online?')
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input_user = input()
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if input_user.lower() == 'tak':
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print(nlg.update([['cinema','request',slot,'online']]))
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dst.update([['inform', 'Cinema', 'payments', 'online']])
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else:
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print(nlg.update([['cinema','request',slot,'']]))
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dst.update([['inform', 'Cinema', 'payments', 'in_cinema']])
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elif value == '':
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print(nlg.update([['cinema','request',slot,'']]))
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break
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elif slot in ["cancel_book_status","cancel_buy_status"] and value =='':
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continue
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if __name__ == '__main__':
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main()
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