File size: 4,113 Bytes
d2f3514 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 |
from __future__ import annotations
import json
import random
import requests
from ..typing import Any, CreateResult
from .base_provider import BaseProvider
class EasyChat(BaseProvider):
url: str = "https://free.easychat.work"
supports_stream = True
supports_gpt_35_turbo = True
working = False
@staticmethod
def create_completion(
model: str,
messages: list[dict[str, str]],
stream: bool, **kwargs: Any) -> CreateResult:
active_servers = [
"https://chat10.fastgpt.me",
"https://chat9.fastgpt.me",
"https://chat1.fastgpt.me",
"https://chat2.fastgpt.me",
"https://chat3.fastgpt.me",
"https://chat4.fastgpt.me",
"https://gxos1h1ddt.fastgpt.me"
]
server = active_servers[kwargs.get("active_server", random.randint(0, 5))]
headers = {
"authority" : f"{server}".replace("https://", ""),
"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,fa=0.2",
"content-type" : "application/json",
"origin" : f"{server}",
"referer" : f"{server}/",
"x-requested-with" : "XMLHttpRequest",
'plugins' : '0',
'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',
'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)
}
session = requests.Session()
# init cookies from server
session.get(f"{server}/")
response = session.post(f"{server}/api/openai/v1/chat/completions",
headers=headers, json=json_data, stream=stream)
if response.status_code == 200:
if stream == False:
json_data = response.json()
if "choices" in json_data:
yield json_data["choices"][0]["message"]["content"]
else:
raise Exception("No response from server")
else:
for chunk in response.iter_lines():
if b"content" in chunk:
splitData = chunk.decode().split("data:")
if len(splitData) > 1:
yield json.loads(splitData[1])["choices"][0]["delta"]["content"]
else:
continue
else:
raise Exception(f"Error {response.status_code} from server : {response.reason}")
@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"),
("active_server", "int"),
]
param = ", ".join([": ".join(p) for p in params])
return f"g4f.provider.{cls.__name__} supports: ({param})"
|