mirror of
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102 lines
3.6 KiB
Python
102 lines
3.6 KiB
Python
from __future__ import annotations
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import json
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from aiohttp import ClientSession
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from ...typing import AsyncResult, Messages
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from ..base_provider import AsyncGeneratorProvider
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from ..helper import format_prompt, get_cookies
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class OpenAssistant(AsyncGeneratorProvider):
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url = "https://open-assistant.io/chat"
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needs_auth = True
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working = False
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model = "OA_SFT_Llama_30B_6"
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@classmethod
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async def create_async_generator(
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cls,
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model: str,
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messages: Messages,
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proxy: str = None,
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cookies: dict = None,
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**kwargs
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) -> AsyncResult:
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if not cookies:
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cookies = get_cookies("open-assistant.io")
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headers = {
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'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',
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}
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async with ClientSession(
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cookies=cookies,
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headers=headers
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) as session:
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async with session.post("https://open-assistant.io/api/chat", proxy=proxy) as response:
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chat_id = (await response.json())["id"]
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data = {
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"chat_id": chat_id,
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"content": f"<s>[INST]\n{format_prompt(messages)}\n[/INST]",
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"parent_id": None
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}
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async with session.post("https://open-assistant.io/api/chat/prompter_message", proxy=proxy, json=data) as response:
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parent_id = (await response.json())["id"]
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data = {
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"chat_id": chat_id,
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"parent_id": parent_id,
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"model_config_name": model if model else cls.model,
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"sampling_parameters":{
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"top_k": 50,
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"top_p": None,
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"typical_p": None,
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"temperature": 0.35,
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"repetition_penalty": 1.1111111111111112,
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"max_new_tokens": 1024,
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**kwargs
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},
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"plugins":[]
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}
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async with session.post("https://open-assistant.io/api/chat/assistant_message", proxy=proxy, json=data) as response:
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data = await response.json()
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if "id" in data:
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message_id = data["id"]
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elif "message" in data:
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raise RuntimeError(data["message"])
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else:
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response.raise_for_status()
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params = {
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'chat_id': chat_id,
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'message_id': message_id,
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}
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async with session.post("https://open-assistant.io/api/chat/events", proxy=proxy, params=params) as response:
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start = "data: "
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async for line in response.content:
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line = line.decode("utf-8")
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if line and line.startswith(start):
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line = json.loads(line[len(start):])
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if line["event_type"] == "token":
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yield line["text"]
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params = {
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'chat_id': chat_id,
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}
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async with session.delete("https://open-assistant.io/api/chat", proxy=proxy, params=params) as response:
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response.raise_for_status()
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@classmethod
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@property
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def params(cls):
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params = [
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("model", "str"),
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("messages", "list[dict[str, str]]"),
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("stream", "bool"),
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("proxy", "str"),
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]
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param = ", ".join([": ".join(p) for p in params])
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return f"g4f.provider.{cls.__name__} supports: ({param})"
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