mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-12-25 04:01:52 +03:00
95 lines
3.2 KiB
Python
95 lines
3.2 KiB
Python
from __future__ import annotations
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from aiohttp import ClientSession
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import json
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import random
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from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
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from ..typing import AsyncResult, Messages
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from .helper import format_prompt
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class Bixin123(AsyncGeneratorProvider, ProviderModelMixin):
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url = "https://chat.bixin123.com"
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api_endpoint = "https://chat.bixin123.com/api/chatgpt/chat-process"
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working = True
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supports_gpt_35_turbo = True
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supports_gpt_4 = True
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default_model = 'gpt-3.5-turbo-0125'
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models = ['gpt-3.5-turbo', 'gpt-3.5-turbo-0125', 'gpt-3.5-turbo-16k-0613', 'gpt-4-turbo', 'qwen-turbo']
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model_aliases = {
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"gpt-3.5-turbo": "gpt-3.5-turbo-0125",
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"gpt-3.5-turbo": "gpt-3.5-turbo-16k-0613",
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}
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@classmethod
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def get_model(cls, model: str) -> str:
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if model in cls.models:
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return model
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elif model in cls.model_aliases:
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return cls.model_aliases[model]
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else:
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return cls.default_model
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@classmethod
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def generate_fingerprint(cls) -> str:
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return str(random.randint(100000000, 999999999))
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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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model = cls.get_model(model)
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headers = {
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"accept": "application/json, text/plain, */*",
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"accept-language": "en-US,en;q=0.9",
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"cache-control": "no-cache",
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"content-type": "application/json",
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"fingerprint": cls.generate_fingerprint(),
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"origin": cls.url,
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"pragma": "no-cache",
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"priority": "u=1, i",
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"referer": f"{cls.url}/chat",
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"sec-ch-ua": '"Chromium";v="127", "Not)A;Brand";v="99"',
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"sec-ch-ua-mobile": "?0",
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"sec-ch-ua-platform": '"Linux"',
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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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"user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36",
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"x-website-domain": "chat.bixin123.com",
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}
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async with ClientSession(headers=headers) 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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"options": {
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"usingNetwork": False,
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"file": ""
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}
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}
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async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
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response.raise_for_status()
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response_text = await response.text()
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lines = response_text.strip().split("\n")
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last_json = None
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for line in reversed(lines):
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try:
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last_json = json.loads(line)
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break
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except json.JSONDecodeError:
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pass
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if last_json:
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text = last_json.get("text", "")
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yield text
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else:
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yield ""
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