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GptGo.py
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GptGo.py
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from __future__ import annotations
from aiohttp import ClientSession
import json
from ..typing import AsyncResult, Messages
from .base_provider import AsyncGeneratorProvider, format_prompt
class GptGo(AsyncGeneratorProvider):
url = "https://gptgo.ai"
supports_gpt_35_turbo = True
working = True
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
proxy: str = None,
**kwargs
) -> AsyncResult:
headers = {
"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",
"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",
"Origin": cls.url,
"Referer": f"{cls.url}/",
"Sec-Fetch-Dest": "empty",
"Sec-Fetch-Mode": "cors",
"Sec-Fetch-Site": "same-origin",
}
async with ClientSession(
headers=headers
) as session:
async with session.get(
"https://gptgo.ai/action_get_token.php",
params={
"q": format_prompt(messages),
"hlgpt": "default",
"hl": "en"
},
proxy=proxy
) as response:
response.raise_for_status()
token = (await response.json(content_type=None))["token"]
async with session.get(
"https://gptgo.ai/action_ai_gpt.php",
params={
"token": token,
},
proxy=proxy
) as response:
response.raise_for_status()
start = "data: "
async for line in response.content:
line = line.decode()
if line.startswith("data: "):
if line.startswith("data: [DONE]"):
break
line = json.loads(line[len(start):-1])
if line["choices"][0]["finish_reason"] == "stop":
break
if content := line["choices"][0]["delta"].get("content"):
yield content
@classmethod
@property
def params(cls):
params = [
("model", "str"),
("messages", "list[dict[str, str]]"),
("stream", "bool"),
("proxy", "str"),
("temperature", "float"),
]
param = ", ".join([": ".join(p) for p in params])
return f"g4f.provider.{cls.__name__} supports: ({param})"