1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
|
# SPDX-License-Identifier: Apache-2.0
#
# Copyright (c) 2023 Malik Talha
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import re
from typing import Text
from snips_inference_agl import SnipsNLUEngine
class SnipsInterface:
def __init__(self, model_path: Text):
self.engine = SnipsNLUEngine.from_path(model_path)
def preprocess_text(self, text):
# text to lower case and remove trailing and leading spaces
preprocessed_text = text.lower().strip()
# remove special characters, punctuation, and extra whitespaces
preprocessed_text = re.sub(r'[^\w\s]', '', preprocessed_text).strip()
return preprocessed_text
def extract_intent(self, text: Text):
preprocessed_text = self.preprocess_text(text)
result = self.engine.parse(preprocessed_text)
return result
def process_intent(self, intent_output):
intent_actions = {}
intent = intent_output['intent']['intentName']
slots = intent_output.get('slots', [])
for slot in slots:
action = slot['entity']
value = slot['value']['value']
intent_actions[action] = value
return intent, intent_actions
|