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author | Tekky <98614666+xtekky@users.noreply.github.com> | 2023-10-04 10:40:18 +0200 |
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committer | GitHub <noreply@github.com> | 2023-10-04 10:40:18 +0200 |
commit | 6eb3fa3e5fa5675363dc09209cf77fba0542a506 (patch) | |
tree | 0ca69953cbf4820667500a195c8f97c5da75c88e /g4f/Provider/deprecated/DfeHub.py | |
parent | ~ | g4f v-0.1.4.6 `pip install -U g4f` (diff) | |
parent | Sort providers in new dirs (diff) | |
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Diffstat (limited to 'g4f/Provider/deprecated/DfeHub.py')
-rw-r--r-- | g4f/Provider/deprecated/DfeHub.py | 77 |
1 files changed, 77 insertions, 0 deletions
diff --git a/g4f/Provider/deprecated/DfeHub.py b/g4f/Provider/deprecated/DfeHub.py new file mode 100644 index 00000000..4ea7501f --- /dev/null +++ b/g4f/Provider/deprecated/DfeHub.py @@ -0,0 +1,77 @@ +from __future__ import annotations + +import json +import re +import time + +import requests + +from ...typing import Any, CreateResult +from ..base_provider import BaseProvider + + +class DfeHub(BaseProvider): + url = "https://chat.dfehub.com/" + supports_stream = True + supports_gpt_35_turbo = True + + @staticmethod + def create_completion( + model: str, + messages: list[dict[str, str]], + stream: bool, **kwargs: Any) -> CreateResult: + + headers = { + "authority" : "chat.dfehub.com", + "accept" : "*/*", + "accept-language" : "en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3", + "content-type" : "application/json", + "origin" : "https://chat.dfehub.com", + "referer" : "https://chat.dfehub.com/", + "sec-ch-ua" : '"Not.A/Brand";v="8", "Chromium";v="114", "Google Chrome";v="114"', + "sec-ch-ua-mobile" : "?0", + "sec-ch-ua-platform": '"macOS"', + "sec-fetch-dest" : "empty", + "sec-fetch-mode" : "cors", + "sec-fetch-site" : "same-origin", + "user-agent" : "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36", + "x-requested-with" : "XMLHttpRequest", + } + + json_data = { + "messages" : messages, + "model" : "gpt-3.5-turbo", + "temperature" : kwargs.get("temperature", 0.5), + "presence_penalty" : kwargs.get("presence_penalty", 0), + "frequency_penalty" : kwargs.get("frequency_penalty", 0), + "top_p" : kwargs.get("top_p", 1), + "stream" : True + } + + response = requests.post("https://chat.dfehub.com/api/openai/v1/chat/completions", + headers=headers, json=json_data, timeout=3) + + for chunk in response.iter_lines(): + if b"detail" in chunk: + delay = re.findall(r"\d+\.\d+", chunk.decode()) + delay = float(delay[-1]) + time.sleep(delay) + yield from DfeHub.create_completion(model, messages, stream, **kwargs) + if b"content" in chunk: + data = json.loads(chunk.decode().split("data: ")[1]) + yield (data["choices"][0]["delta"]["content"]) + + @classmethod + @property + def params(cls): + params = [ + ("model", "str"), + ("messages", "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})" |