mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-11-27 13:42:19 +03:00
c617b18d12
Add AbstractProvider class Add ProviderType type Add get_last_provider function Add version module and VersionUtils Display used provider in gui Fix error response in api
71 lines
2.7 KiB
Python
71 lines
2.7 KiB
Python
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 |