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from __future__ import annotations |
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import time, hashlib, random |
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from ..typing import AsyncResult, Messages |
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from ..requests import StreamSession |
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from .base_provider import AsyncGeneratorProvider |
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domains = [ |
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'https://k.aifree.site', |
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'https://p.aifree.site' |
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] |
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class FreeGpt(AsyncGeneratorProvider): |
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url = "https://freegpts1.aifree.site/" |
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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: Messages, |
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proxy: str = None, |
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timeout: int = 120, |
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**kwargs |
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) -> AsyncResult: |
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async with StreamSession( |
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impersonate="chrome107", |
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timeout=timeout, |
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proxies={"https": proxy} |
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) as session: |
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prompt = messages[-1]["content"] |
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timestamp = int(time.time()) |
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data = { |
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"messages": messages, |
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"time": timestamp, |
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"pass": None, |
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"sign": generate_signature(timestamp, prompt) |
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} |
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url = random.choice(domains) |
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async with session.post(f"{url}/api/generate", json=data) as response: |
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response.raise_for_status() |
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async for chunk in response.iter_content(): |
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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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] |
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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 = ""): |
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data = f"{timestamp}:{message}:{secret}" |
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return hashlib.sha256(data.encode()).hexdigest() |
