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authorLuneye <73485421+Luneye@users.noreply.github.com>2023-08-28 16:55:36 +0200
committerGitHub <noreply@github.com>2023-08-28 16:55:36 +0200
commit01294db6995511de37e9078e03ce32e54dbdad52 (patch)
treed6c4c14f4e6a3a81660ddb75272bc5da81cacecc /g4f/Provider/Theb.py
parentUpdate Bing.py (diff)
parent~ | code styling (diff)
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Diffstat (limited to '')
-rw-r--r--g4f/Provider/Theb.py86
1 files changed, 42 insertions, 44 deletions
diff --git a/g4f/Provider/Theb.py b/g4f/Provider/Theb.py
index 09c94c24..9a47bb89 100644
--- a/g4f/Provider/Theb.py
+++ b/g4f/Provider/Theb.py
@@ -1,74 +1,72 @@
-import json,random,requests
-# from curl_cffi import requests
-from ..typing import Any, CreateResult
+import json, random, 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
+ 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:
+ stream: bool, **kwargs: Any) -> CreateResult:
+
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"]
+ 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',
+ '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',
+ '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] = {
- "text": conversation,
- "category": "04f58f64a4aa4191a957b47290fee864",
- "model": "ee8d4f29cb7047f78cbe84313ed6ace8",
+ "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"
+ "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://beta.theb.ai/api/conversation?org_id="+org_id+"&req_rand="+str(req_rand),
- headers=headers,
- json=json_data,
- stream=True,
- )
+
+ 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 = ""