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author | Bagus Indrayana <bagusindrayanaindo@gmail.com> | 2023-08-20 17:10:02 +0200 |
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committer | Bagus Indrayana <bagusindrayanaindo@gmail.com> | 2023-08-20 17:10:02 +0200 |
commit | b3621b879a52c924cda450bf7d15e76ae85d881c (patch) | |
tree | 9cf27ca9957f35f9471a6822aee4918fe030f8b2 /g4f | |
parent | ~ | v.0.0.2.2 (diff) | |
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Diffstat (limited to '')
-rw-r--r-- | g4f/Provider/Theb.py | 87 |
1 files changed, 72 insertions, 15 deletions
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})"
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