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author | Heiner Lohaus <heiner@lohaus.eu> | 2023-10-04 07:20:51 +0200 |
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committer | Heiner Lohaus <heiner@lohaus.eu> | 2023-10-04 07:20:51 +0200 |
commit | 6a61cf811655fa87dbcb196025cc0b6040502293 (patch) | |
tree | 0e299a24d90095013854d04f9bf13617eebb8f6c /g4f/Provider/Theb.py | |
parent | Use custom user dir (diff) | |
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Diffstat (limited to 'g4f/Provider/Theb.py')
-rw-r--r-- | g4f/Provider/Theb.py | 97 |
1 files changed, 0 insertions, 97 deletions
diff --git a/g4f/Provider/Theb.py b/g4f/Provider/Theb.py deleted file mode 100644 index 72fce3ac..00000000 --- a/g4f/Provider/Theb.py +++ /dev/null @@ -1,97 +0,0 @@ -from __future__ import annotations - -import json -import random - -import requests - -from ..typing import Any, CreateResult -from .base_provider import BaseProvider - - -class Theb(BaseProvider): - url = "https://theb.ai" - working = True - supports_stream = True - supports_gpt_35_turbo = True - needs_auth = True - - @staticmethod - def create_completion( - model: str, - messages: list[dict[str, str]], - stream: bool, **kwargs: Any) -> CreateResult: - - conversation = "\n".join(f"{message['role']}: {message['content']}" for message in messages) - conversation += "\nassistant: " - - auth = kwargs.get("auth", { - "bearer_token":"free", - "org_id":"theb", - }) - - bearer_token = auth["bearer_token"] - org_id = auth["org_id"] - - headers = { - 'authority' : 'beta.theb.ai', - 'accept' : 'text/event-stream', - 'accept-language' : 'id-ID,id;q=0.9,en-US;q=0.8,en;q=0.7', - 'authorization' : 'Bearer '+bearer_token, - 'content-type' : 'application/json', - 'origin' : 'https://beta.theb.ai', - 'referer' : 'https://beta.theb.ai/home', - 'sec-ch-ua' : '"Chromium";v="116", "Not)A;Brand";v="24", "Google Chrome";v="116"', - 'sec-ch-ua-mobile' : '?0', - 'sec-ch-ua-platform': '"Windows"', - 'sec-fetch-dest' : 'empty', - 'sec-fetch-mode' : 'cors', - 'sec-fetch-site' : 'same-origin', - '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', - 'x-ai-model' : 'ee8d4f29cb7047f78cbe84313ed6ace8', - } - - req_rand = random.randint(100000000, 9999999999) - - json_data: dict[str, Any] = { - "text" : conversation, - "category" : "04f58f64a4aa4191a957b47290fee864", - "model" : "ee8d4f29cb7047f78cbe84313ed6ace8", - "model_params": { - "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}}", - "temperature" : kwargs.get("temperature", 1), - "top_p" : kwargs.get("top_p", 1), - "frequency_penalty" : kwargs.get("frequency_penalty", 0), - "presence_penalty" : kwargs.get("presence_penalty", 0), - "long_term_memory" : "auto" - } - } - - response = requests.post(f"https://beta.theb.ai/api/conversation?org_id={org_id}&req_rand={req_rand}", - headers=headers, json=json_data, stream=True) - - response.raise_for_status() - content = "" - next_content = "" - for chunk in response.iter_lines(): - if b"content" in chunk: - next_content = content - data = json.loads(chunk.decode().split("data: ")[1]) - content = data["content"] - yield data["content"].replace(next_content, "") - - @classmethod - @property - def params(cls): - params = [ - ("model", "str"), - ("messages", "list[dict[str, str]]"), - ("auth", "list[dict[str, str]]"), - ("stream", "bool"), - ("temperature", "float"), - ("presence_penalty", "int"), - ("frequency_penalty", "int"), - ("top_p", "int") - ] - param = ", ".join([": ".join(p) for p in params]) - return f"g4f.provider.{cls.__name__} supports: ({param})"
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