mirrors/karkas
0
0
Fork 0
mirror of https://gitflic.ru/project/alt-gnome/karkas.git synced 2024-12-23 16:23:02 +03:00
Code Issues Actions Packages Projects Releases Wiki Activity

Доработка реквестов и исправление ошибок

Browse Source
This commit is contained in:
Armatik 2024-04-25 15:54:44 +03:00
parent 28e157a9b6
commit b7fdd75458
1 changed files with 18 additions and 18 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

36
src/modules/external/yandexgpt/yandexgpt.py vendored
View File

@ -8,9 +8,9 @@ from ...standard.config.config import *
class YandexGPT:
self.token = None
self.catalog_id = None
self.language = {
token = None
catalog_id = None
languages = {
"ru": "русский язык",
"en": "английский язык",
"de": "немецкий язык",
@ -117,7 +117,7 @@ class YandexGPT:
stream=False, temperature=0.6, max_tokens=8000
)
async def async_yandexgpt_text_history(self, messages, stream=False, temperature=0.6, max_tokens=8000):
async def async_yandexgpt_text_history(self, input_messages, stream=False, temperature=0.6, max_tokens=8000):
url = "https://llm.api.cloud.yandex.net/foundationModels/v1/completion"
gpt = f"gpt://{self.catalog_id}/summarization/latest"
headers = {
@ -152,18 +152,18 @@ class YandexGPT:
# TODO: Сделать функцию Vision
return 0
async def collect_messages(self, message_id, chat_id):
async def collect_messages(self, message_id, chat_id, start_message_id):
messages = []
# Собираем цепочку сообщений в формате: [{"role": "user", "text": "<Имя_пользователя>: Привет!"},
# {"role": "assistant", "text": "Привет!"}]
while True:
message = get_message_text(chat_id, message_id)
if get_message_ai_model(chat_id, start_message_id) != None:
message = db_api.get_message_text(chat_id, message_id)
if db_api.get_message_ai_model(chat_id, start_message_id) != None:
messages.append({"role": "assistant", "text": message})
else:
sender_name = get_user_name(get_message_sender_id(chat_id, start_message_id))
sender_name = db_api.get_user_name(db_api.get_message_sender_id(chat_id, start_message_id))
messages.append({"role": "user", "text": sender_name + ": " + message})
message_id = get_message_answer_to_message_id(chat_id, message_id)
message_id = db_api.get_message_answer_to_message_id(chat_id, message_id)
if message_id is None:
break
return messages.reverse()
@ -173,11 +173,11 @@ class YandexGPT:
# Собираем цепочку сообщений в формате: [{"role": "user", "text": "<Имя_пользователя>: Привет!"},
# {"role": "assistant", "text": "Привет!"}]
while True:
message = get_message_text(chat_id, start_message_id)
if get_message_ai_model(chat_id, start_message_id) != None:
message = db_api.get_message_text(chat_id, start_message_id)
if db_api.get_message_ai_model(chat_id, start_message_id) != None:
messages.append({"role": "assistant", "text": message})
else:
sender_name = get_user_name(get_message_sender_id(chat_id, start_message_id))
sender_name = db_api.get_user_name(db_api.get_message_sender_id(chat_id, start_message_id))
messages.append({"role": "user", "text": sender_name + ": " + message})
start_message_id -= 1
if start_message_id <= end_message_id:
@ -185,7 +185,7 @@ class YandexGPT:
return messages.reverse()
async def yandexgpt_request(self, message_id = None, type = "yandexgpt-lite", chat_id = None,
message_id_end = None):
message_id_end = None, input_language = None, output_language = None, text = None):
if type == "yandexgpt-lite":
messages = await self.collect_messages(message_id, chat_id)
return await self.async_yandexgpt_lite(
@ -202,14 +202,14 @@ class YandexGPT:
)
elif type == "yandexgpt-translate":
return await self.async_yandexgpt_translate(
input_language=get_message_language(chat_id, message_id),
output_language=get_chat_language(chat_id),
text=get_message_text(chat_id, message_id)
input_language,
output_language,
text=db_api.get_message_text(chat_id, message_id)
)
elif type == "yandexgpt-spelling-check":
return await self.async_yandexgpt_spelling_check(
input_language=get_message_language(chat_id, message_id),
text=get_message_text(chat_id, message_id)
input_language,
text=db_api.get_message_text(chat_id, message_id)
)
elif type == "yandexgpt-text-history":
messages = await self.collect_messages_for_history(message_id, message_id_end, chat_id)