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feature_x.py
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feature_x.py
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import os
import random
from urllib import parse
import json
import aiohttp
import assemblyai as aai
from dotenv import load_dotenv
from config import CommandNotRecognized
from config import commands
aai.settings.api_key = os.getenv("AI_API_KEY")
load_dotenv('.env')
import spacy.cli
try:
nlp = spacy.load('ru_core_news_md')
except Exception as E:
spacy.cli.download("ru_core_news_md")
nlp = spacy.load('ru_core_news_md')
config = aai.TranscriptionConfig(language_code="ru")
transcriber = aai.Transcriber(config=config)
async def return_one_gif(query=os.getenv("GIPHY_QUERY", "funny sandwich"), limit=100, randomize=True):
url = "https://api.giphy.com/v1/gifs/search"
params = parse.urlencode({
"q": query,
"api_key": os.getenv("GIPHY_API_KEY"),
"limit": limit
})
url = "".join((url, "?", params))
async with aiohttp.ClientSession() as session:
async with session.get(url) as response:
data = await response.json()
items = data['data']
if randomize:
return random.choice(items)
else:
return items[0]
async def get_yandex_token_with_auth() -> dict:
url = "https://iam.api.cloud.yandex.net/iam/v1/tokens"
data = {
"yandexPassportOauthToken": os.getenv('YIATH')
}
async with aiohttp.ClientSession() as session:
async with session.post(url, data=json.dumps(data)) as response:
response_data = await response.json()
return response_data
async def get_answer_from_gpt_model(user_text: str = "funny sandwich", retry=False) -> str | None:
headers = {
"Authorization": f"Bearer {os.getenv('YIAM')}",
"x-folder-id": "b1gmsqg2bg9ovf4uqsf4"
}
context = """
переведи поисковый запрос в веселом стиле
""".strip()
text = f"""
{user_text}
""".strip()
params = \
{
"model": "general",
"generationOptions": {
"partialResults": False,
"temperature": 0.9,
"maxTokens": 50
},
"instructionText": context,
"requestText": text
}
url = 'https://llm.api.cloud.yandex.net/llm/v1alpha/instruct'
async with aiohttp.ClientSession() as session:
async with session.post(url, headers=headers, json=params) as response:
response = await response.json()
try:
return response['result']['alternatives'][0]['text']
except KeyError as E:
get_yiam_token_response_json = await get_yandex_token_with_auth()
if 'iamToken' in get_yiam_token_response_json:
os.environ['YIAM'] = get_yiam_token_response_json.get('iamToken' or None)
if not retry:
return await get_answer_from_gpt_model(user_text=user_text, retry=True)
else:
return None
except Exception as E:
return None
async def get_text_from_user_voice(voice_file) -> str:
global transcriber
transcript = transcriber.transcribe_async(voice_file)
return transcript.result().text
def send_commands_vector_sync(bot, message, file):
def get_text_from_user_voice_sync(file):
global transcriber
transcript = transcriber.transcribe(file)
return transcript.text
def get_commands():
voice_command = get_text_from_user_voice_sync(file)
commands_vector = []
for default_command in commands:
for token in voice_command.split():
in_lemmas = nlp(token)
this_lemmas_description = nlp(default_command.description)
this_lemmas_command = nlp(default_command.command)
in_lemmas = [token.lemma_.lower() for token in in_lemmas.doc]
this_lemmas_description = [token.lemma_.lower() for token in this_lemmas_description.doc]
this_lemmas_command = [token.lemma_.lower() for token in this_lemmas_command.doc]
if len(in_lemmas[0].lower()) > 1:
if in_lemmas[0] in this_lemmas_description or in_lemmas in this_lemmas_command:
commands_vector.append(f'{default_command.command} - {default_command.description}')
if len(commands_vector) == 0:
command = CommandNotRecognized + "\r\n" + voice_command
else:
try:
recognized_commands = list(set(commands_vector))
command = voice_command + '\r\n'
command += "\r\n".join(recognized_commands)
except Exception as E:
command = CommandNotRecognized
return command
command = get_commands()
return message, command, file