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Diffstat (limited to 'g4f/Provider/deprecated/Equing.py')
| -rw-r--r-- | g4f/Provider/deprecated/Equing.py | 71 |
1 files changed, 71 insertions, 0 deletions
diff --git a/g4f/Provider/deprecated/Equing.py b/g4f/Provider/deprecated/Equing.py new file mode 100644 index 00000000..5fd9797b --- /dev/null +++ b/g4f/Provider/deprecated/Equing.py @@ -0,0 +1,71 @@ +from __future__ import annotations + +import json +from abc import ABC, abstractmethod + +import requests + +from ...typing import Any, CreateResult +from ..base_provider import AbstractProvider + + +class Equing(AbstractProvider): + 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
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