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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/needs_auth/Theb.py
parentUse custom user dir (diff)
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Diffstat (limited to 'g4f/Provider/needs_auth/Theb.py')
-rw-r--r--g4f/Provider/needs_auth/Theb.py97
1 files changed, 97 insertions, 0 deletions
diff --git a/g4f/Provider/needs_auth/Theb.py b/g4f/Provider/needs_auth/Theb.py
new file mode 100644
index 00000000..c35ea592
--- /dev/null
+++ b/g4f/Provider/needs_auth/Theb.py
@@ -0,0 +1,97 @@
+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