mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-12-18 16:11:53 +03:00
97 lines
3.7 KiB
Python
97 lines
3.7 KiB
Python
from __future__ import annotations
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import json
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import random
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import requests
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from ..typing import Any, CreateResult
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from .base_provider import BaseProvider
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class Theb(BaseProvider):
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url = "https://theb.ai"
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working = True
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supports_stream = True
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supports_gpt_35_turbo = True
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needs_auth = True
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@staticmethod
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def create_completion(
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model: str,
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messages: list[dict[str, str]],
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stream: bool, **kwargs: Any) -> CreateResult:
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conversation = "\n".join(f"{message['role']}: {message['content']}" for message in messages)
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conversation += "\nassistant: "
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auth = kwargs.get("auth", {
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"bearer_token":"free",
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"org_id":"theb",
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})
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bearer_token = auth["bearer_token"]
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org_id = auth["org_id"]
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headers = {
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'authority' : 'beta.theb.ai',
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'accept' : 'text/event-stream',
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'accept-language' : 'id-ID,id;q=0.9,en-US;q=0.8,en;q=0.7',
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'authorization' : 'Bearer '+bearer_token,
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'content-type' : 'application/json',
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'origin' : 'https://beta.theb.ai',
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'referer' : 'https://beta.theb.ai/home',
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'sec-ch-ua' : '"Chromium";v="116", "Not)A;Brand";v="24", "Google Chrome";v="116"',
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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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'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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'x-ai-model' : 'ee8d4f29cb7047f78cbe84313ed6ace8',
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}
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req_rand = random.randint(100000000, 9999999999)
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json_data: dict[str, Any] = {
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"text" : conversation,
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"category" : "04f58f64a4aa4191a957b47290fee864",
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"model" : "ee8d4f29cb7047f78cbe84313ed6ace8",
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"model_params": {
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"system_prompt" : "You are ChatGPT, a large language model trained by OpenAI, based on the GPT-3.5 architecture.\nKnowledge cutoff: 2021-09\nCurrent date: {{YYYY-MM-DD}}",
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"temperature" : kwargs.get("temperature", 1),
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"top_p" : kwargs.get("top_p", 1),
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"frequency_penalty" : kwargs.get("frequency_penalty", 0),
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"presence_penalty" : kwargs.get("presence_penalty", 0),
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"long_term_memory" : "auto"
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}
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}
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response = requests.post(f"https://beta.theb.ai/api/conversation?org_id={org_id}&req_rand={req_rand}",
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headers=headers, json=json_data, stream=True)
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response.raise_for_status()
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content = ""
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next_content = ""
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for chunk in response.iter_lines():
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if b"content" in chunk:
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next_content = content
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data = json.loads(chunk.decode().split("data: ")[1])
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content = data["content"]
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yield data["content"].replace(next_content, "")
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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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("auth", "list[dict[str, str]]"),
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("stream", "bool"),
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("temperature", "float"),
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("presence_penalty", "int"),
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("frequency_penalty", "int"),
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("top_p", "int")
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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})" |