From b3621b879a52c924cda450bf7d15e76ae85d881c Mon Sep 17 00:00:00 2001
From: Bagus Indrayana <bagusindrayanaindo@gmail.com>
Date: Sun, 20 Aug 2023 23:10:02 +0800
Subject: fix theb but need auth

---
 g4f/Provider/Theb.py | 87 +++++++++++++++++++++++++++++++++++++++++++---------
 1 file changed, 72 insertions(+), 15 deletions(-)

(limited to 'g4f/Provider')

diff --git a/g4f/Provider/Theb.py b/g4f/Provider/Theb.py
index c6fd6f19..09c94c24 100644
--- a/g4f/Provider/Theb.py
+++ b/g4f/Provider/Theb.py
@@ -1,16 +1,15 @@
-import json
-
-from curl_cffi import requests
-
+import json,random,requests
+# from curl_cffi import requests
 from ..typing import Any, CreateResult
 from .base_provider import BaseProvider
 
 
 class Theb(BaseProvider):
     url = "https://theb.ai"
-    working = False
+    working = True
     supports_stream = True
     supports_gpt_35_turbo = True
+    needs_auth = True
 
     @staticmethod
     def create_completion(
@@ -19,21 +18,79 @@ class Theb(BaseProvider):
         stream: bool,
         **kwargs: Any,
     ) -> CreateResult:
-        prompt = messages[-1]["content"]
-
+        conversation = ''
+        for message in messages:
+            conversation += '%s: %s\n' % (message['role'], message['content'])
+        
+        conversation += 'assistant: '
+        auth = kwargs.get("auth", {
+            "bearer_token":"free",
+            "org_id":"theb",
+        })
+        bearer_token = auth["bearer_token"]
+        org_id = auth["org_id"]
         headers = {
-            "accept": "application/json, text/plain, */*",
-            "content-type": "application/json",
+            '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',
         }
+        # generate 10 random number
+        # 0.1 - 0.9
+        req_rand = random.randint(100000000, 9999999999)
 
-        json_data: dict[str, Any] = {"prompt": prompt, "options": {}}
+        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(
-            "https://chatbot.theb.ai/api/chat-process",
+            "https://beta.theb.ai/api/conversation?org_id="+org_id+"&req_rand="+str(req_rand),
             headers=headers,
             json=json_data,
-            impersonate="chrome110",
+            stream=True,
         )
         response.raise_for_status()
-        line = response.text.splitlines()[-1]
-        text = json.loads(line)["text"]
-        yield text
+        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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