mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-12-27 21:21:41 +03:00
85 lines
3.2 KiB
Python
85 lines
3.2 KiB
Python
from __future__ import annotations
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import requests
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from ..base_provider import BaseProvider
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from ...typing import CreateResult, Messages
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from json import dumps
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# to recreate this easily, send a post request to https://chat.aivvm.com/api/models
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models = {
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'gpt-3.5-turbo': {'id': 'gpt-3.5-turbo', 'name': 'GPT-3.5'},
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'gpt-3.5-turbo-0613': {'id': 'gpt-3.5-turbo-0613', 'name': 'GPT-3.5-0613'},
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'gpt-3.5-turbo-16k': {'id': 'gpt-3.5-turbo-16k', 'name': 'GPT-3.5-16K'},
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'gpt-3.5-turbo-16k-0613': {'id': 'gpt-3.5-turbo-16k-0613', 'name': 'GPT-3.5-16K-0613'},
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'gpt-4': {'id': 'gpt-4', 'name': 'GPT-4'},
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'gpt-4-0613': {'id': 'gpt-4-0613', 'name': 'GPT-4-0613'},
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'gpt-4-32k': {'id': 'gpt-4-32k', 'name': 'GPT-4-32K'},
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'gpt-4-32k-0613': {'id': 'gpt-4-32k-0613', 'name': 'GPT-4-32K-0613'},
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}
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class Aivvm(BaseProvider):
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url = 'https://chat.aivvm.com'
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supports_stream = True
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working = False
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supports_gpt_35_turbo = True
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supports_gpt_4 = True
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@classmethod
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def create_completion(cls,
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model: str,
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messages: Messages,
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stream: bool,
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**kwargs
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) -> CreateResult:
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if not model:
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model = "gpt-3.5-turbo"
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elif model not in models:
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raise ValueError(f"Model is not supported: {model}")
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json_data = {
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"model" : models[model],
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"messages" : messages,
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"key" : "",
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"prompt" : kwargs.get("system_message", "You are ChatGPT, a large language model trained by OpenAI. Follow the user's instructions carefully. Respond using markdown."),
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"temperature" : kwargs.get("temperature", 0.7)
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}
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data = dumps(json_data)
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headers = {
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"accept" : "text/event-stream",
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"accept-language" : "en-US,en;q=0.9",
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"content-type" : "application/json",
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"content-length" : str(len(data)),
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"sec-ch-ua" : "\"Chrome\";v=\"117\", \"Not;A=Brand\";v=\"8\", \"Chromium\";v=\"117\"",
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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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"sec-gpc" : "1",
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"referrer" : "https://chat.aivvm.com/",
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"user-agent" : "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36"
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}
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response = requests.post("https://chat.aivvm.com/api/chat", headers=headers, data=data, stream=True)
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response.raise_for_status()
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for chunk in response.iter_content(chunk_size=4096):
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try:
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yield chunk.decode("utf-8")
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except UnicodeDecodeError:
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yield chunk.decode("unicode-escape")
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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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