mirror of https://github.com/xtekky/gpt4free
Add ChatgptDuo and Aibn Provider
Add support for "nest_asyncio", Reuse event_loops with event_loop_policy Support for "create_async" with synchron providerpull/943/head
Heiner Lohaus
8 months ago
parent
72c3ff7a25
commit
3c2755bc72
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from __future__ import annotations
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import time
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import hashlib
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from ..typing import AsyncGenerator
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from g4f.requests import AsyncSession
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from .base_provider import AsyncGeneratorProvider
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class Aibn(AsyncGeneratorProvider):
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url = "https://aibn.cc"
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supports_gpt_35_turbo = True
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working = True
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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: list[dict[str, str]],
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**kwargs
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) -> AsyncGenerator:
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async with AsyncSession(impersonate="chrome107") as session:
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timestamp = int(time.time())
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data = {
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"messages": messages,
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"pass": None,
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"sign": generate_signature(timestamp, messages[-1]["content"]),
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"time": timestamp
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}
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async with session.post(f"{cls.url}/api/generate", json=data) as response:
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response.raise_for_status()
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async for chunk in response.content.iter_any():
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yield chunk.decode()
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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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("temperature", "float"),
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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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def generate_signature(timestamp: int, message: str, secret: str = "undefined"):
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data = f"{timestamp}:{message}:{secret}"
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return hashlib.sha256(data.encode()).hexdigest()
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@ -0,0 +1,51 @@
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from __future__ import annotations
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from g4f.requests import AsyncSession
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from .base_provider import AsyncProvider, format_prompt
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class ChatgptDuo(AsyncProvider):
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url = "https://chatgptduo.com"
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supports_gpt_35_turbo = True
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working = True
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@classmethod
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async def create_async(
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cls,
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model: str,
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messages: list[dict[str, str]],
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**kwargs
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) -> str:
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async with AsyncSession(impersonate="chrome107") as session:
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prompt = format_prompt(messages),
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data = {
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"prompt": prompt,
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"search": prompt,
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"purpose": "ask",
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}
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async with session.post(f"{cls.url}/", data=data) as response:
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response.raise_for_status()
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data = await response.json()
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cls._sources = [{
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"title": source["title"],
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"url": source["link"],
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"snippet": source["snippet"]
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} for source in data["results"]]
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return data["answer"]
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@classmethod
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def get_sources(cls):
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return cls._sources
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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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]
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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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@ -0,0 +1,54 @@
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from __future__ import annotations
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import asyncio
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import sys
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from asyncio import AbstractEventLoop
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import browser_cookie3
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_cookies: dict[str, dict[str, str]] = {}
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# Use own event_loop_policy with a selector event loop on windows.
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if sys.platform == 'win32':
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_event_loop_policy = asyncio.WindowsSelectorEventLoopPolicy()
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else:
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_event_loop_policy = asyncio.get_event_loop_policy()
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# If event loop is already running, handle nested event loops
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# If "nest_asyncio" is installed, patch the event loop.
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def get_event_loop() -> AbstractEventLoop:
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try:
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asyncio.get_running_loop()
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except RuntimeError:
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return _event_loop_policy.get_event_loop()
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try:
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event_loop = _event_loop_policy.get_event_loop()
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if not hasattr(event_loop.__class__, "_nest_patched"):
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import nest_asyncio
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nest_asyncio.apply(event_loop)
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return event_loop
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except ImportError:
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raise RuntimeError(
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'Use "create_async" instead of "create" function in a running event loop. Or install the "nest_asyncio" package.')
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# Load cookies for a domain from all supported browser.
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# Cache the results in the "_cookies" variable
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def get_cookies(cookie_domain: str) -> dict:
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if cookie_domain not in _cookies:
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_cookies[cookie_domain] = {}
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try:
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for cookie in browser_cookie3.load(cookie_domain):
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_cookies[cookie_domain][cookie.name] = cookie.value
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except:
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pass
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return _cookies[cookie_domain]
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def format_prompt(messages: list[dict[str, str]], add_special_tokens=False):
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if add_special_tokens or len(messages) > 1:
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formatted = "\n".join(
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["%s: %s" % ((message["role"]).capitalize(), message["content"]) for message in messages]
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)
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return f"{formatted}\nAssistant:"
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else:
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return messages[0]["content"]
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