s434788/System_Dialogowy_Janet
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still wip

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This commit is contained in:
Anna Nowak 2021-06-07 08:20:21 +02:00
parent c9f0dfeb3a
commit f201155d1a
3 changed files with 17 additions and 13 deletions
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6
Code/Janet.py
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@ -1,9 +1,9 @@
import jsgf #import jsgf
from Modules.NLG_module import NLG from Modules.NLG_module import NLG
from Modules.DP_module import DP from Modules.DP_module import DP
from Modules.DST_module import Rules_DST from Modules.DST_module import Rules_DST
from Modules.Book_NLU_module import Book_NLU # from Modules.Book_NLU_module import Book_NLU
from Modules.ML_NLU_module import ML_NLU from Modules.ML_NLU_module import ML_NLU
import random import random
@ -23,7 +23,7 @@ class Janet:
self.nlg = NLG() self.nlg = NLG()
self.dp = DP() self.dp = DP()
self.dst = Rules_DST() self.dst = Rules_DST()
self.nlu = Book_NLU(jsgf.parse_grammar_file('book.jsgf')) #self.nlu = Book_NLU(jsgf.parse_grammar_file('book.jsgf'))
self.nlu_v2 = ML_NLU() self.nlu_v2 = ML_NLU()
def process(self, command): def process(self, command):

2
Code/Modules/ML_NLU_module.py
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@ -1,5 +1,3 @@
import jsgf
from tabulate import tabulate
from flair.data import Sentence, Token from flair.data import Sentence, Token
from flair.datasets import SentenceDataset from flair.datasets import SentenceDataset
from flair.models import SequenceTagger from flair.models import SequenceTagger

22
Code/Modules/NLG_module.py
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@ -22,13 +22,19 @@ class NLG:
if(len(act) == 0): if(len(act) == 0):
return "Nie mam już nic do powiedzenia :(" return "Nie mam już nic do powiedzenia :("
for variable in act: domain, intent = act[0]
domain, intent = variable
if (domain == "inform"): if (domain == "inform"):
return "test" return "test"
if(domain == "greeting"):
return random.choice(["Cześć, mam na imię Janet", "Hej, jestem Janet. W czym mogę pomóc?", "Dzień dobry, nazywam się Janet"]) if(domain == "greeting"):
return random.choice(["Cześć, mam na imię Janet", "Hej, jestem Janet. W czym mogę pomóc?", "Dzień dobry, nazywam się Janet"])
if(domain == "end_conversation"):
return random.choice(["Dziękujemy za skorzystanie z naszych usług!", "Do widzenia!", "Do zobaczenia!"])
if(domain == "appointment"):
if(intent == "book_appointent"):
answer = "Zarezerwowano wizytę"
print(variable)
elif(domain == "end_conversation"):
return random.choice(["Dziękujemy za skorzystanie z naszych usług!", "Do widzenia!", "Do zobaczenia!"])