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authorHeiner Lohaus <heiner@lohaus.eu>2023-10-04 07:20:51 +0200
committerHeiner Lohaus <heiner@lohaus.eu>2023-10-04 07:20:51 +0200
commit6a61cf811655fa87dbcb196025cc0b6040502293 (patch)
tree0e299a24d90095013854d04f9bf13617eebb8f6c /g4f/Provider/Theb.py
parentUse custom user dir (diff)
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Diffstat (limited to 'g4f/Provider/Theb.py')
-rw-r--r--g4f/Provider/Theb.py97
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})" \ No newline at end of file