gpt4free/g4f/Provider/OpenAssistant.py
msi-JunXiang 901595b10f type hints
Use `from __future__ import annotations avoid `dict` and `list` cause "TypeErro: 'type' object is not subscriptable".

Refer to the following Stack Overflow discussions for more information:
1.
https://stackoverflow.com/questions/75202610/typeerror-type-object-is-not-subscriptable-python
2.
https://stackoverflow.com/questions/59101121/type-hint-for-a-dict-gives-typeerror-type-object-is-not-subscriptable
2023-09-03 16:26:26 +08:00

103 lines
3.6 KiB
Python

from __future__ import annotations
import json
from aiohttp import ClientSession
from ..typing import Any, AsyncGenerator
from .base_provider import AsyncGeneratorProvider, format_prompt, get_cookies
class OpenAssistant(AsyncGeneratorProvider):
url = "https://open-assistant.io/chat"
needs_auth = True
working = True
model = "OA_SFT_Llama_30B_6"
@classmethod
async def create_async_generator(
cls,
model: str,
messages: list[dict[str, str]],
proxy: str = None,
cookies: dict = None,
**kwargs: Any
) -> AsyncGenerator:
if proxy and "://" not in proxy:
proxy = f"http://{proxy}"
if not cookies:
cookies = get_cookies("open-assistant.io")
headers = {
'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36',
}
async with ClientSession(
cookies=cookies,
headers=headers
) as session:
async with session.post("https://open-assistant.io/api/chat", proxy=proxy) as response:
chat_id = (await response.json())["id"]
data = {
"chat_id": chat_id,
"content": f"<s>[INST]\n{format_prompt(messages)}\n[/INST]",
"parent_id": None
}
async with session.post("https://open-assistant.io/api/chat/prompter_message", proxy=proxy, json=data) as response:
parent_id = (await response.json())["id"]
data = {
"chat_id": chat_id,
"parent_id": parent_id,
"model_config_name": model if model else cls.model,
"sampling_parameters":{
"top_k": 50,
"top_p": None,
"typical_p": None,
"temperature": 0.35,
"repetition_penalty": 1.1111111111111112,
"max_new_tokens": 1024,
**kwargs
},
"plugins":[]
}
async with session.post("https://open-assistant.io/api/chat/assistant_message", proxy=proxy, json=data) as response:
data = await response.json()
if "id" in data:
message_id = data["id"]
elif "message" in data:
raise RuntimeError(data["message"])
else:
response.raise_for_status()
params = {
'chat_id': chat_id,
'message_id': message_id,
}
async with session.post("https://open-assistant.io/api/chat/events", proxy=proxy, params=params) as response:
start = "data: "
async for line in response.content:
line = line.decode("utf-8")
if line and line.startswith(start):
line = json.loads(line[len(start):])
if line["event_type"] == "token":
yield line["text"]
params = {
'chat_id': chat_id,
}
async with session.delete("https://open-assistant.io/api/chat", proxy=proxy, params=params) as response:
response.raise_for_status()
@classmethod
@property
def params(cls):
params = [
("model", "str"),
("messages", "list[dict[str, str]]"),
("stream", "bool"),
("proxy", "str"),
]
param = ", ".join([": ".join(p) for p in params])
return f"g4f.provider.{cls.__name__} supports: ({param})"