Search results

class DiSTTSync(Skill): CHUNK = 1024 FORMAT = pyaudio.paInt16 CHANNELS = 1 RATE = 16000 MIN_ACTIVE_SECONDS = 0.5 exit_event = Event() model = whisper.load_model("base") p = pyaudio.PyAudio() stream = p.open( format=FORMAT, channels=CHANNELS...

the sync version seems more reliable: class DiSTTSync(Skill): CHUNK = 1024 FORMAT = pyaudio.paInt16 CHANNELS = 1 RATE = 16000 MIN_ACTIVE_SECONDS = 0.5 exit_event = Event() model = whisper.load_model("base") p = pyaudio.PyAudio() stream = p.open(...

1 piece version import whisper import pyaudio import numpy as np import re import atexit from threading import Event from LivinGrimoire23 import Brain from async_skills import ShorniSplash """ cmd winget install ffmpeg check if it installed ok: ffmpeg -version in python terminal: pip install...

import whisper import pyaudio import numpy as np import re import atexit from threading import Event from LivinGrimoire23 import Brain from async_skills import ShorniSplash # befor runing the code: ''' cmd winget install ffmpeg check if it installed ok: ffmpeg -version in python terminal: pip...

import whisper import pyaudio import numpy as np import re import atexit from threading import Event from LivinGrimoire23 import Brain from async_skills import ShorniSplash # befor runing the code: ''' cmd winget install ffmpeg check if it installed ok: ffmpeg -version in python terminal: pip...

import whisper import pyaudio import numpy as np import re import atexit from threading import Event from LivinGrimoire23 import Brain from async_skills import ShorniSplash # Audio Settings CHUNK = 1024 FORMAT = pyaudio.paInt16 CHANNELS = 1 RATE = 16000 MIN_ACTIVE_SECONDS = 0.5 # Minimum...

import whisper import pyaudio import numpy as np import re import atexit from threading import Event from LivinGrimoire23 import Brain from async_skills import ShorniSplash # Audio Settings CHUNK = 1024 FORMAT = pyaudio.paInt16 CHANNELS = 1 RATE = 16000 MIN_ACTIVE_SECONDS = 0.5 # Minimum...

import whisper import pyaudio import numpy as np import re import atexit from threading import Event # Audio Settings CHUNK = 1024 FORMAT = pyaudio.paInt16 CHANNELS = 1 RATE = 16000 MIN_ACTIVE_SECONDS = 0.5 # Minimum speech duration to process exit_event = Event() # Global variables model =...

import whisper import pyaudio import numpy as np import re import atexit from threading import Event # Audio Settings CHUNK = 1024 FORMAT = pyaudio.paInt16 CHANNELS = 1 RATE = 16000 MIN_ACTIVE_SECONDS = 0.5 # Minimum speech duration to process exit_event = Event() # Global variables model =...

cmd winget install ffmpeg check if it installed ok: ffmpeg -version in python terminal: pip install openai-whisper pyaudio numpy wave you may also need: pip install openai-whisper pyaudio numpy pip install pipwin pipwin install pyaudio import whisper import pyaudio import numpy as np import...

like to engage the time skill I need to say something like "what is the time" but her burp skill for example works on its own, she suddenly might burp

oh yeah, fully automatic. once a skill is added, it just works based on input. many skills are automatic, some are triggered. she can talk on her own volition for example.

automate?

no deepseek only replies to my input. my STT is shit, I don't know why ngl. my AI works like the matrix learn scene. 1 line of code to add a skill. deepseek is just 1 possible skill. for example: brain.add_logical_skill(DiVoices()) is a skill that lets me change the output voice or...

@dollbuilderx3 this is a deepseek skill it should return replies from deepseek.

hi

def _async_func(this_cls): input_text = this_cls.input_text data = { "model": "deepseek-chat", "messages": [{"role": "user", "content": input_text}], "max_tokens": 50 # Limit response length } try: response = this_cls.call_deepseek_api(data)...