Repository navigation
Expand file tree
/
Copy pathai.py
More file actions
74 lines (56 loc) · 1.94 KB
/
Copy pathai.py
File metadata and controls
74 lines (56 loc) · 1.94 KB
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
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
import pyttsx3
from vosk import Model, KaldiRecognizer
from pyaudio import PyAudio, paInt16
import json
from eventhook import Event_hook
"""
pip install vosk
download the models from https://alphacephei.com/vosk/models
"""
class AI():
__name = ""
__skill = []
def __init__(self, name=None):
self.engine = pyttsx3.init()
voices = self.engine.getProperty('voices')
self.engine.setProperty('voice' ,voices[5].id)
name = voices[5].name
print(name)
model = Model('./model') # path to model
self.r = KaldiRecognizer(model, 16000)
self.m = PyAudio()
if name is not None:
self.__name = name
self.audio = self.m.open(format=paInt16, channels=1, rate=16000, input=True, frames_per_buffer=8192)
self.audio.start_stream()
# Setup event hooks
self.before_speaking = Event_hook()
self.after_speaking = Event_hook()
self.before_listening = Event_hook()
self.after_listening = Event_hook()
@property
def name(self):
return self.__name
@name.setter
def name(self, value):
sentence = "Hello, my name is" + self.__name
self.__name = value
self.engine.say(sentence)
self.engine.runAndWait()
def say(self, sentence):
print(sentence)
self.before_speaking.trigger(sentence)
self.engine.say(sentence)
self.engine.runAndWait()
self.after_speaking.trigger(sentence)
def listen(self):
phrase = ""
if self.r.AcceptWaveform(self.audio.read(4096,exception_on_overflow = False)):
self.before_listening.trigger()
phrase = self.r.Result()
phrase = phrase.removeprefix('the')
phrase = str(json.loads(phrase)["text"])
if phrase:
self.after_listening.trigger(phrase)
return phrase
return None