8 Commits

Author SHA1 Message Date
Dmitrium12 8504126d4a Merge pull request 'add_noisereduce' (#2) from add_noisereduce into master
Reviewed-on: #2
2024-05-01 10:38:58 +07:00
Dmitrium12 4dc4ffa58c micro fix 2024-04-30 08:46:16 +07:00
Dmitrium12 26b38811cc micro fix 2024-04-30 08:46:06 +07:00
Dmitrium12 1d63461e35 add testing noisereduce 2024-04-30 08:31:33 +07:00
Dmitrium12 5f1e2e67a4 add command and add its in ollama functions 2024-04-29 17:58:53 +07:00
Dmitrium12 c23b1d42bf add linter and test ollama in python 2024-04-29 15:31:01 +07:00
Dmitrium12 b2866d073c .gitignore 2024-01-09 22:10:57 +07:00
Dmitrium12 a889c68e40 starting 2024-01-09 22:10:13 +07:00
24 changed files with 46 additions and 133 deletions
+2 -2
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@@ -6,8 +6,8 @@ __pycache__/
*$py.class
# Custom
data/model_small/
data/model_large/
model_small/
model_large/
# C extensions
*.so
+5 -9
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@@ -10,24 +10,21 @@ import yaml
from fuzzywuzzy import fuzz
from pvrecorder import PvRecorder
from data import config
from modules import HomeAssistant
from utils import download_models, execute_cmd, play
import config
from utils import execute_cmd, play
class Jarvis:
def __init__(self):
download_models.install_vosk_model()
self.recorder = None
self.CDIR = os.getcwd()
self.VA_CMD_LIST = yaml.safe_load(open('data/commands.yaml', encoding='utf8'))
self.home_assistant = HomeAssistant.HomeAssistant()
self.VA_CMD_LIST = yaml.safe_load(open('commands.yaml', encoding='utf8'))
self.porcupine = pvporcupine.create(
access_key=config.PICOVOICE_TOKEN,
keywords=['jarvis'],
sensitivities=[1]
)
self.kaldi_rec = vosk.KaldiRecognizer(vosk.Model("data/model_small"), 16000)
self.kaldi_rec = vosk.KaldiRecognizer(vosk.Model("model_large"), 16000)
def main(self):
self.recorder = PvRecorder(
@@ -73,7 +70,6 @@ class Jarvis:
if vrt > rc['percent']:
rc['cmd'] = c
rc['percent'] = vrt
rc['recognized_phrase'] = x
if len(rc['cmd'].strip()) <= 0:
return False
elif rc['percent'] < 70 or rc['cmd'] not in self.VA_CMD_LIST.keys():
@@ -81,7 +77,7 @@ class Jarvis:
time.sleep(1)
return False
else:
execute_cmd.execute_cmd(self, rc['cmd'], rc['recognized_phrase'], voice)
execute_cmd.execute_cmd(self, rc['cmd'])
return True
def play(self, phrase, wait_done=True):
-6
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@@ -72,9 +72,3 @@ weather:
- возможен дождь сегодня?
- прогноз погоды на сегодня
- погода
home_assistant_execute:
- включи телевизор
- выключи телевизор
- начни уборку
home_assistant_get:
- тест
Executable
+5
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@@ -0,0 +1,5 @@
VA_ALIAS = ('джарвис',)
VA_TBR = ('скажи', 'покажи', 'ответь', 'произнеси', 'расскажи', 'сколько', 'слушай')
MICROPHONE_INDEX = -1
PICOVOICE_TOKEN = "4xbwaZwZmSHeTiowFl5Rgqsc8CR4FKGV8YueJUlR4Zt2e1kB64IDcA=="
OPENAI_TOKEN = "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"
-10
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@@ -1,10 +0,0 @@
VA_ALIAS = ("джарвис",)
VA_TBR = ("скажи", "покажи", "ответь", "произнеси", "расскажи", "сколько", "слушай")
MODEL_NAME = "vosk-model-small-ru-0.22" # vosk-model-ru-0.42
MICROPHONE_INDEX = -1
PICOVOICE_TOKEN = "4xbwaZwZmSHeTiowFl5Rgqsc8CR4FKGV8YueJUlR4Zt2e1kB64IDcA=="
# home assistant
HOME_ASSISTANT_URL = "http://192.168.0.112:9999/api"
HOME_ASSISTANT_TOKEN = "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiI5NjczNDZjYjc2YzI0YWQzODdhMmUwMmM2MjViZGVjZCIsImlhdCI6MTcxNDQ3MzkzNywiZXhwIjoyMDI5ODMzOTM3fQ.TATpIMXivJOioCtUI8PKg6gyTQYMG6bur6enm6NxjtY"
-4
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@@ -1,4 +0,0 @@
пылесос:
- entity_id:vacuum.roborock_vacuum_m1s
- state:находится в
- attributes.battery_level:а его уровень зарядки
+1 -1
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@@ -1,4 +1,4 @@
from modules.Jarvis import Jarvis
from Jarvis import Jarvis
def main():
-67
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@@ -1,67 +0,0 @@
import requests
import yaml
from fuzzywuzzy import process
from data import config
class HomeAssistant:
def __init__(self):
self.url = "http://192.168.0.112:9999/api"
self.token = config.HOME_ASSISTANT_TOKEN
self.HA_CMD_LIST = yaml.safe_load(open('data/home_assistant_entities.yaml', encoding='utf8'))
def get_info(self, state):
response = requests.get(
url=f"{self.url}/states",
headers={
"Authorization": "Bearer " + self.token
}
)
for entity in response.json():
if entity["entity_id"] == state:
return entity
return response
def send_process(self, command="выключи телевизор"):
response = requests.post(
url=f"{self.url}/services/conversation/process",
json={"text": command},
headers={
"Authorization": "Bearer " + self.token,
"content-type": "application/json"
},
)
if response.status_code == 200:
return True
return False
def voice_to_name(self, voice: str) -> str:
words = voice.lower().split()
best_match = None
highest_score = 0
for word in words:
result, score = process.extractOne(word, self.HA_CMD_LIST.keys())
if score > highest_score:
highest_score = score
best_match = result
return best_match
def validate_info(self, name: str):
answer = name
entity_config = self.HA_CMD_LIST.get(name)
if entity_config:
# Создание словаря, разделяя каждый элемент конфигурации на ключ и значение
entity_details = {item.split(':')[0]: item.split(':')[1] for item in entity_config}
entity_id = entity_details.pop("entity_id", None)
if entity_id:
responses = self.get_info(entity_id)
for attribute_path, label in entity_details.items():
response = responses
try:
for attribute in attribute_path.split("."):
response = response[attribute]
answer += f" {label} {response}"
except KeyError:
continue
return answer
-26
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@@ -1,26 +0,0 @@
import os
import sys
from data import config
def install_vosk_model():
try:
open('data/model_small/README')
except Exception as e:
print(e)
if sys.platform == "linux" or sys.platform == "linux2":
os.system(f"wget https://alphacephei.com/vosk/models/{config.MODEL_NAME}.zip")
os.system(f"unzip {config.MODEL_NAME}.zip")
os.system(f"mv {config.MODEL_NAME} data/model_small")
os.system(f"rm -rf {config.MODEL_NAME}.zip")
elif sys.platform == "darwin":
os.system(f"curl https://alphacephei.com/vosk/models/{config.MODEL_NAME}.zip")
os.system(f"unzip {config.MODEL_NAME}.zip")
os.system(f"mv {config.MODEL_NAME} data/model_small")
os.system(f"rm -rf {config.MODEL_NAME}.zip")
elif sys.platform == "win32":
os.system(f"curl https://alphacephei.com/vosk/models/{config.MODEL_NAME}.zip --output 1.zip")
os.system('powershell -command "Expand-Archive 1.zip ./"')
os.system(f"rename {config.MODEL_NAME} data/model_small")
os.system("del /s /q 1.zip")
+1 -7
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@@ -1,4 +1,4 @@
def execute_cmd(self, cmd: str, recognized_phrase: str, voice: str):
def execute_cmd(self, cmd: str):
if cmd == 'thanks':
self.play("thanks")
elif cmd == 'stupid':
@@ -7,9 +7,3 @@ def execute_cmd(self, cmd: str, recognized_phrase: str, voice: str):
self.play("off", True)
self.porcupine.delete()
exit(0)
elif cmd == 'home_assistant_execute':
self.home_assistant.send_process(recognized_phrase)
elif cmd == 'home_assistant_get':
entity_name = self.home_assistant.voice_to_name(voice)
entity_info = self.home_assistant.validate_info(entity_name)
print(entity_info)
+1 -1
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@@ -15,7 +15,7 @@ def play(self, phrase, wait_done=True):
if wait_done:
self.recorder.stop()
if filename:
wave_obj = sa.WaveObject.from_wave_file(f"{self.CDIR}/data/sound/{filename}")
wave_obj = sa.WaveObject.from_wave_file(f"{self.CDIR}/sound/{filename}")
play_obj = wave_obj.play()
if wait_done:
play_obj.wait_done()
Executable
+31
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@@ -0,0 +1,31 @@
import time
import sounddevice as sd
import torch
language = 'ru'
model_id = 'ru_v3'
sample_rate = 48000 # 48000
speaker = 'aidar' # aidar, baya, kseniya, xenia, random
put_accent = True
put_yo = True
device = torch.device('cpu') # cpu или gpu
text = "Хауди Хо, друзья!!!"
model, _ = torch.hub.load(repo_or_dir='snakers4/silero-models',
model='silero_tts',
language=language,
speaker=model_id)
model.to(device)
def va_speak(what: str):
audio = model.apply_tts(text=what + "..",
speaker=speaker,
sample_rate=sample_rate,
put_accent=put_accent,
put_yo=put_yo)
sd.play(audio, sample_rate * 1.05)
time.sleep((len(audio) / sample_rate) + 0.5)
sd.stop()