53 lines
1.2 KiB
Python
53 lines
1.2 KiB
Python
import jsgf
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from pathlib import Path
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import os
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__location__ = Path().resolve()
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book_grammar = jsgf.parse_grammar_file(os.path.join(__location__, "grammar3.jsgf"))
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book_grammar
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def get_dialog_act(rule):
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slots = []
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get_slots(rule.expansion, slots)
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return {'act': rule.grammar.name, 'slots': slots}
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def get_slots(expansion, slots):
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if expansion.tag != '':
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slots.append((expansion.tag, expansion.current_match))
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return
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for child in expansion.children:
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get_slots(child, slots)
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if not expansion.children and isinstance(expansion, jsgf.NamedRuleRef):
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get_slots(expansion.referenced_rule.expansion, slots)
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def nlu(utterance):
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matched = book_grammar.find_matching_rules(utterance)
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if matched:
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return get_dialog_act(matched[0])
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else:
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return {'act': 'null', 'slots': []}
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def predict(utterance):
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utterance = utterance.lower()
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punctuation = '''!;:/?,.'''
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for i in utterance:
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if i in punctuation:
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utterance = utterance.replace(i, "")
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matched = book_grammar.find_matching_rules(utterance)
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nlu(utterance)
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try:
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print(get_dialog_act(matched[0]))
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except:
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pass
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return matched |