From 6a61cf811655fa87dbcb196025cc0b6040502293 Mon Sep 17 00:00:00 2001
From: Heiner Lohaus <heiner@lohaus.eu>
Date: Wed, 4 Oct 2023 07:20:51 +0200
Subject: Sort providers in new dirs

---
 g4f/Provider/needs_auth/Theb.py | 97 +++++++++++++++++++++++++++++++++++++++++
 1 file changed, 97 insertions(+)
 create mode 100644 g4f/Provider/needs_auth/Theb.py

(limited to 'g4f/Provider/needs_auth/Theb.py')

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
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