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from __future__ import annotations |
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from aiohttp import ClientSession |
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import json |
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import base64 |
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from ..typing import AsyncResult, Messages |
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from .base_provider import AsyncGeneratorProvider, format_prompt |
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class GptGo(AsyncGeneratorProvider): |
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url = "https://gptgo.ai" |
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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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**kwargs |
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) -> AsyncResult: |
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headers = { |
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"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36", |
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"Accept": "*/*", |
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"Accept-language": "en-US", |
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"Origin": cls.url, |
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"Referer": f"{cls.url}/", |
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"sec-ch-ua": '"Google Chrome";v="116", "Chromium";v="116", "Not?A_Brand";v="24"', |
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"sec-ch-ua-mobile": "?0", |
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"sec-ch-ua-platform": '"Windows"', |
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"Sec-Fetch-Dest": "empty", |
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"Sec-Fetch-Mode": "cors", |
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"Sec-Fetch-Site": "same-origin", |
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} |
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async with ClientSession( |
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headers=headers |
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) as session: |
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async with session.post( |
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"https://gptgo.ai/get_token.php", |
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data={"ask": format_prompt(messages)}, |
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proxy=proxy |
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) as response: |
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response.raise_for_status() |
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token = await response.text(); |
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token = base64.b64decode(token[10:-20]).decode() |
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async with session.get( |
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"https://api.gptgo.ai/web.php", |
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params={"array_chat": token}, |
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proxy=proxy |
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) as response: |
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response.raise_for_status() |
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async for line in response.content: |
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if line.startswith(b"data: [DONE]"): |
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break |
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if line.startswith(b"data: "): |
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line = json.loads(line[6:]) |
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content = line["choices"][0]["delta"].get("content") |
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if content and content != "\n#GPTGO ": |
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yield content |
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