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author | Heiner Lohaus <heiner@lohaus.eu> | 2023-10-04 07:20:51 +0200 |
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committer | Heiner Lohaus <heiner@lohaus.eu> | 2023-10-04 07:20:51 +0200 |
commit | 6a61cf811655fa87dbcb196025cc0b6040502293 (patch) | |
tree | 0e299a24d90095013854d04f9bf13617eebb8f6c /g4f/Provider/Equing.py | |
parent | Use custom user dir (diff) | |
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Diffstat (limited to 'g4f/Provider/Equing.py')
-rw-r--r-- | g4f/Provider/Equing.py | 81 |
1 files changed, 0 insertions, 81 deletions
diff --git a/g4f/Provider/Equing.py b/g4f/Provider/Equing.py deleted file mode 100644 index 261c53c0..00000000 --- a/g4f/Provider/Equing.py +++ /dev/null @@ -1,81 +0,0 @@ -from __future__ import annotations - -import json -from abc import ABC, abstractmethod - -import requests - -from ..typing import Any, CreateResult -from .base_provider import BaseProvider - - -class Equing(BaseProvider): - url: str = 'https://next.eqing.tech/' - working = False - supports_stream = True - supports_gpt_35_turbo = True - supports_gpt_4 = False - - @staticmethod - @abstractmethod - def create_completion( - model: str, - messages: list[dict[str, str]], - stream: bool, **kwargs: Any) -> CreateResult: - - headers = { - 'authority' : 'next.eqing.tech', - 'accept' : 'text/event-stream', - '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', - 'cache-control' : 'no-cache', - 'content-type' : 'application/json', - 'origin' : 'https://next.eqing.tech', - 'plugins' : '0', - 'pragma' : 'no-cache', - 'referer' : 'https://next.eqing.tech/', - 'sec-ch-ua' : '"Not/A)Brand";v="99", "Google Chrome";v="115", "Chromium";v="115"', - '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/115.0.0.0 Safari/537.36', - 'usesearch' : 'false', - 'x-requested-with' : 'XMLHttpRequest' - } - - json_data = { - 'messages' : messages, - 'stream' : stream, - 'model' : model, - '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), - } - - response = requests.post('https://next.eqing.tech/api/openai/v1/chat/completions', - headers=headers, json=json_data, stream=stream) - - if not stream: - yield response.json()["choices"][0]["message"]["content"] - return - - for line in response.iter_content(chunk_size=1024): - if line: - if b'content' in line: - line_json = json.loads(line.decode('utf-8').split('data: ')[1]) - token = line_json['choices'][0]['delta'].get('content') - if token: - yield token - - @classmethod - @property - def params(cls): - params = [ - ("model", "str"), - ("messages", "list[dict[str, str]]"), - ("stream", "bool"), - ] - param = ", ".join([": ".join(p) for p in params]) - return f"g4f.provider.{cls.__name__} supports: ({param})"
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